Podcasts about Accenture

In this episode of the Accenture AI Leaders Podcast, Teresa Tung, Global Advanced Data Lead at Accenture, is joined by Russell Smith, VP of ERP Transformation Technology at AstraZeneca, and Nick Tate, Managing Director and Talent & Workforce Lead UKI at Accenture, to discuss how organizations can move from AI experimentation to real business value. Explore why scaling AI depends on people, culture, and adoption not just technology and learn practical insights on leadership and workforce readiness.

Most business owners hear "AI" and immediately think: we need that. Myles Harrison thinks the opposite — and he built a company around it. Myles is the founder of  Praktikai, a boutique data and AI consulting firm whose name literally means practicality. A veteran of Big Five firms like Accenture and PwC, he now helps business owners cut through the noise and ask the real question: is technology actually your problem? In this episode, Myles shares why a bajillion-dollar tech investment can still fail if your people and processes aren't aligned, what it actually looks like to be a "sober, pragmatic" voice in an industry obsessed with hype, and how the best consultants don't make themselves the hero — they make their clients look good. We also dig into: The three-part operating model that most AI projects get wrong Why Myles is still waiting on the paperless office before worrying about the Terminator The farming metaphor that reframes how we think about automation and knowledge work What burnout on the Big Five consulting track actually taught him about limits The airport moment that surprised him most about working with clients in person If you've ever wondered whether AI is actually the solution — or just the most expensive way to avoid fixing the real problem — this episode is for you. Timestamps 00:30 Welcome and introductions 01:15 What is Praktikai — and why "practicality" is the whole point 02:45 From Big Five consulting to accidental entrepreneur 04:30 How to know if you need a consultant: "what part of your job sucks the most?" 06:15 The operating model problem: people, process, and technology 08:10 Why complexity is not the same as excellence 09:45 What makes consulting gratifying — and why the goal is to make clients look good 11:30 Myles' bearish take on AI: signal vs. noise and the paperless office problem 14:00 The farming metaphor: automation, knowledge work, and what actually disappears 16:20 The next five years: under-promise, over-deliver, and do good work 18:00 Finding your limits: burnout, sleep, and what fast-paced consulting actually costs 20:30 The airport moment — what surprised Myles most about working with clients in person 22:30 Where to find Myles and PRAKTIKAI   Learn more about PRAKTIKAI and how Myles helps businesses cut through AI hype and focus on what actually moves the needle: prktk.ai Legacy Podcast: For more information about the Legacy Podcast and its co-hosts, visit https://businesslegacypodcast.com Leave a Review: If you enjoyed the episode, leave a review and rating on your preferred podcast platform. For more information: Visit https://businesslegacypodcast.com to access the show notes and additional resources on the episode.    

Op maandag blikken we in De 7 altijd vooruit naar de week die komt.Vandaag doen we dat met beursexpert Ellen Vermorgen, hier bij De Tijd .Er is een akkoord tussen de VS en Iran over een staakt-het-vuren en om de straat van Hormuz te openen. Dat bevestigen de VS en Iran vannacht. Wat houdt dat precies in?Een aantal centrale banken neemt deze week een rentebesluit, maar de meeste aandacht gaat ongetwijfeld naar de Amerikaanse centrale bank. Die vergadert voor het eerst onder het voorzitterschap van Kevin Warsch. Wat wordt zijn boodschap?En waarom moeten we SpaceX ook deze en de volgende weken in het oog houden?Verder in deze aflevering van De 7: een EU-top, resultaten van Colruyt en Accenture, een beursvooruitblik op de rest van het jaar en de start van de zomerfestivals of toch liever voetbal? Host: Bert RymenProductie: Joris Vanderpoorten See omnystudio.com/listener for privacy information.

Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ https://youtu.be/j0TuosYDQe4?si=7mzUwBe4PrQ-eB2E In this insightful session from the Ultimate Partner Live event in Bellevue, Washington, Vince Menzione sits down with Stephen Boyle, Corporate Vice President for Enterprise Partners at Microsoft, to pull back the curtain on the tectonic shifts redefining the tech ecosystem. Boyle details Microsoft's massive organizational pivot into enterprise and SME/channel divisions , explaining how artificial intelligence acts as the foundational thread unifying systems integrators, software vendors, and digital natives. Moving past market noise surrounding competing foundational models , he highlights Microsoft's strategy to become the ultimate “platform of platforms” by prioritizing user choice, security, and trust. Emphasizing a shift away from infrastructure technicalities and toward practical business outcomes , Boyle delivers an urgent mandate for partners to scale technical talent, eliminate traditional operational silos, and brace for the incoming consumption-driven, agent-based future of enterprise computing. Key Takeaways Microsoft has restructured its global sales divisions into distinct Enterprise and SME/Channel organizations to better target its massive total addressable markets. Artificial intelligence is fundamentally altering the partner ecosystem by dismantling traditional software and systems integrator silos to build interconnected, multi-party solutions. Rather than forcing alignment to a singular model, Microsoft aims to be the definitive platform of platforms by offering extensive choice across over 1,100 language models. The enterprise landscape is rapidly moving past experimental AI pilot phases and entering production setups completely focused on transforming core business outcomes. Tomorrow's service organizations are aggressively evolving into software-minded operations that deploy repeatable, highly specialized internal autonomous agents. Managing tokens and monitoring usage metrics represents the emerging operational baseline for balancing efficiency against the scaling expenses of large language models. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags AI frontier, platform of platforms, enterprise partners, global systems integrators, digital natives, language models, token consumption, agent sprawl, citizen developers, shadow IT, business outcomes, technical enablement, marketplace growth, hyper-scalers, processing fluency, sovereign AI, industry ecosystems, data governance. Transcript [00:00:00] Stephen Boyle: This is the biggest, most transformative, iterative change in technology we’ve ever seen, where, if you wanna call it a paradigm shift or whatever word comes after paradigm shift. [00:00:12] Vince Menzione: We just came back from Ultimate Partner live in Bellevue, Washington, where we hosted incredible leaders for two amazing days. Come join us for this next session where we explore the tectonic shifts we’ve all been seeing. Uh, I am thrilled to invite our next guest up on stage. I’ve known this gentleman for several years back in my days at Microsoft, and, um, we’ve been friends, actually Microsoft, and then we both went and did different things, came he’s come back to Microsoft in a big way. [00:00:46] Vince Menzione: Uh, Steven Boyle, for those of you don’t know, is recently a named the C. We will talk about it in a second, but I, I need to announce you properly. Is the corporate vice president, which by the way in Microsoft is a big deal for enterprise partners. He and Nicole De and I would say are the two Microsoft leaders in the organization. [00:01:06] Vince Menzione: Nicole is the channel chief. Steven has a, a big remit and we’ll talk about that up on stage. But I’m just so delightful for his support and for making the time in a very busy week at Microsoft ’cause this is CEO summit this week to make some time to come with us and be on stage with me. Please welcome my good friend Steven Boyle. [00:01:29] Vince Menzione: Good to see you, sir. To see. So I’m gonna put you on this side. [00:01:33] Stephen Boyle: Okay. [00:01:35] Vince Menzione: The hot seat. So I’m gonna, I, I didn’t do a justice and I, I wanted you to explain your role. I, I think I know, but I think for the, for the people in the room, uh, talk to us what Enterprise Partners means at Microsoft and what that role remit and remit looks like. [00:01:50] Stephen Boyle: Um, CVPs may or may not be important, but one thing they don’t do is get invites to the CEO summit. So I’m super pleased to be here with you guys. No, no, it’s totally cool. It’s totally cool if that phone rings. No, I’m kidding. Doesn’t. So what does it mean? So I’d like quickly, um. January last year, uh, we split the sales organization into enterprise and small to medium enterprise and channel. [00:02:15] Stephen Boyle: You guys probably familiar with that? Nicole is the, uh, chief partner officer lives in the SMA and C world and drives the channel, um, drives our marketplace business and, and a lot of other things. Um, for that 60 billion, um, you know, total addressable market that we have. Down there in SME and C. Um, at the same time, we established enterprise partner as part of Nick Parker’s overall organization. [00:02:40] Stephen Boyle: Um, but for most of 2025 we ran it as global systems integrators and advisories, ISVs and digital natives. So three separate footprints all focused entirely on, on, on enterprise. Um, in December, January, we talked about establishing an enterprise partner leader that would. You know, aggregate all of this stuff. [00:03:00] Stephen Boyle: Um, I was fortunate to come through, um, some frankly, pretty hairy, uh, experiences, I bet with some of our senior leaders. Um, I, I’ve loved to [00:03:08] Vince Menzione: been in the room for that [00:03:09] Stephen Boyle: questions like, why Steven Boyle and things like that, right? And really have to dig deep to, uh, to justify. Anyway, uh, I’m blessed and honored, uh, to run that entire portfolio of partners, uh, for the entirety of the enterprise partner world, which now from a chief revenue officer perspective, belongs to Deb. [00:03:25] Stephen Boyle: Deb Co. So Deb is the enterprise leader for all of our sales that we do into that space. Awesome. Um, I have three regional leaders, Nina Harding here in the United States, Ehab Ra in in Europe, and Heather Gordon in Asia that mirror and replicate and flow down the things that we decide to do from a strategy perspective for the, uh, for the core. [00:03:45] Vince Menzione: And we love Nina. She’s been, she was at our last event, [00:03:47] Stephen Boyle: super, super lady. And, uh, you know, the US is still 50% of our overall business. [00:03:53] Vince Menzione: Yeah. [00:03:53] Stephen Boyle: Too big to fabric. Every time I talk to Nina, I’m like, Nina, you’re too big to fail. We can’t cover you anywhere else. So you know, you’ve gotta be successful here in the Americas. [00:04:01] Vince Menzione: So I think just for breaking it up, I, ’cause I do want to like, it’ll lead to the next question, right? So you have the global systems integrators, all these systems integrators. Essentially you have all of the software companies we used to call ISVs, we now call SDCs or software development corporations. [00:04:17] Vince Menzione: And then you also have the AI stack, I’ll call it. Right? So under Jason Grafe. Yeah. Many, many might know. Jason’s been a guest on the podcast and was Satya’s chief of staff at one time, eight years. Eight years. Wow. I didn’t realize there was that many. [00:04:31] Stephen Boyle: Carry carried a lot of bags for Satya over the years. [00:04:34] Vince Menzione: Unbelievable. Well, let’s, I mean, so AI is an important component, right? And you saw Jay’s, Jay talking, just talking about AI and all these things. I would love to start here, right? Because, uh, you’re, you’re, I wanna get your perspective as Microsoft, your perspective as Microsoft on the biggest shifts you’re seeing in defining this we’ll call AI Frontier. [00:04:54] Vince Menzione: We’re seeing right now, how should partners translate that into how they position and go to market externally? How, how do we need to think about this time? [00:05:02] Stephen Boyle: Yeah, that is, uh, that is a huge question and I’m not sure we’ve got enough time to go into the, into all of the detail. Um, so let me sort of up level it a little bit for you. [00:05:10] Stephen Boyle: And I think, look, the move that we meet at made a couple of months ago and pulling together those three aspects. Nicole had already done it in SME and C. Right. One partner organization across the world with a very common set of goals. We were working closely together, Sandy Gupta, on ISV, Jason on ai, and myself on on si. [00:05:29] Stephen Boyle: But we were still working closely together across silos. So the opportunity for me, 60 days into this role is AI just allows you to wire the partner ecosystem together differently. Right? And even if you look at how we’re going to market an AI today, um. You know, with, with, with chat GPT, with Claude, with Anthropic, um, I think there’s something like 1100 different, you know, language models on Microsoft today. [00:05:55] Stephen Boyle: So the way I think about AI is we are absolutely gonna be the ultimate platform of platforms. Yeah, choice is incredibly important. Um. It’s, it’s, you know, turn the clock back 12 months, everybody was chat gpt five point x, you know, and then six months ago it was Gemini and now it seems to be clawed. And honestly I don’t know what it’s gonna be next quarter. [00:06:15] Stephen Boyle: So the only thing I can do is offer you choice. [00:06:18] Vince Menzione: Yeah. [00:06:18] Stephen Boyle: And from a partner perspective, I think that minimizes or reduces the risk that you have betting on the Microsoft platform because you can go in a multitude of different directions. I know we’re not in Europe, but if you were in Europe and you were worried about G-G-D-P-R and Jay mentioned sovereignty, you’d probably be like lining up really closely to Misra. [00:06:37] Stephen Boyle: Yeah. And a bunch of other Europe, European partners. So wherever you are in the globe, I wanna be that platform choice. Um, and we will lead with our own first party solutions. I hope they’re not coming for me. Um. I parked safely in the hotel. It can’t be me. Um, but you weren’t vibe coding in the room. Um, but you know, wherever you are in the world, in whichever industry you are in, um, it is our intent to, to offer that platform of platforms and to give the broadest set of partners the opportunity to engage with us. [00:07:07] Vince Menzione: I think that’s really important because I, I have found, especially in the last month or two, people are, it’s almost like a knee jerk. Don’t you feel like people don’t know what to do? There’s been so much noise in the press and the media and, and the markets around open AI and anthropic especially. Where do I go? [00:07:26] Vince Menzione: Seems to be like when I, when I sit, I watch everybody in the room here. I think they’re, they’ve all been thinking that as well. So you can, [00:07:31] Stephen Boyle: there’s a, a little bit of a deer in the headlights moment. Yes. And even I like, I get that. Yeah. Um, you know, I saw, uh, Jay slides. Jay, love the presentation. Love the slides, man. [00:07:40] Stephen Boyle: I’m gonna steal several of them. Um, we’ll talk about that later. We, we [00:07:43] Vince Menzione: have the deck, [00:07:45] Stephen Boyle: but, but in all seriousness, you know, this, this is like. It’s a new paradigm. I will date myself a little bit. Some of you might heard me say this. I sold many computers in the 1980s. Mini computers. Some of you in the room are going, what’s a mini computer? [00:07:59] Stephen Boyle: Um, I sold client server for Sun Microsystems in the nineties. I sold an awful lot of Oracle databases in the Auts, I think they’re called, and I’ve done two stints with Microsoft. This is the biggest, most transformative. Iterative change in technology we’ve ever seen. What, if you wanna call it a paradigm shift or whatever word comes after paradigm shift. [00:08:18] Stephen Boyle: Um, and we are building intelligent systems at scale faster than we’ve ever seen. Scalable, mission critical solutions being implemented today inside of Microsoft and with our most important customers. So, and we can’t do it without partners, right? There is absolutely nothing we can do in this industry. I will, I will put the, you know, the elephant in the room out there. [00:08:40] Stephen Boyle: Our ISD organization has between five and 7,000 people. Our forward deployed engineering organization is about a thousand people. [00:08:47] Vince Menzione: Yeah. [00:08:48] Stephen Boyle: So when you look at the scale of the total addressable market that Jay just talked about. We are gonna service directly like this much [00:08:55] Vince Menzione: used to be 5%. Was it even, is it even that high? [00:08:58] Stephen Boyle: I doubt it’s, I doubt it’s even that. And the billions of dollars that we spend every year helping our customers transform to what we’re now calling frontier firms is gonna be, have to be driven with every single person in this room in some way, shape, or form. Judson is not asking Marla to significantly increase ISD. [00:09:15] Stephen Boyle: Not asking John to significantly increase FDE, although we probably will hire in that area just because of the, the newness and the, you know, bright shiny object that everybody’s like, oh, FDE, I’ve gotta have those. We’ve got a thousand already today that have been around in John’s organization for 10 plus years doing the things that we are doing today. [00:09:32] Stephen Boyle: But we are gonna build out that muscle. But the real way we’re gonna build out that muscle is with all of you in this room. That’s like categorical. That is my like, probably number one goal for the next one to three years is make sure that, that story that Jay just told about Microsoft not being involved in AstraZeneca. [00:09:48] Stephen Boyle: I probably won’t tell Judson that Jay, but I love the story. Um, like if you could all do that for me, like win, um, that is so, you know, from our worldwide learning, through our skilling enablement through our cloud solution architects that I personally own. We are pivoting aggressively towards making sure that the partners understand our platforms better than any other job, number one for me right now, if you don’t understand what I’m selling, like I’m kind of dead in the water obviously. [00:10:15] Stephen Boyle: Well, [00:10:15] Vince Menzione: I was gonna ask you why now? Why Microsoft? Why now? Right? Because there is a lot of noise. You know, Google just announced, you all announced your results on the same day, which was astounding. That was freaky, wasn’t it? It was. It was the first time. And the, the total commitment, customer commitment is over a trillion dollars now, I think 1.2 trillion is what I counted up. [00:10:33] Stephen Boyle: Yeah. [00:10:34] Vince Menzione: But it’s saying a lot about like, what do I do now, like as these partners in the room. Um, how, I think you kind of already, and you’ve talked about this, about differentiating where Microsoft is, I think J Slide does a lot of justice there. It says how, uh, Microsoft Partners came into the room, surrounded the customer. [00:10:52] Vince Menzione: It feels like Microsoft has always leaned in big time on partners. Uh, more so I would say than any other organization out there. What would [00:10:59] Stephen Boyle: you say Joe Roses, my chief of staff, business manager and so many other things was telling me last night that, you know, we used to say 500,000 partners. [00:11:05] Vince Menzione: Yeah, [00:11:06] Stephen Boyle: it’s a, it’s a significantly higher number than that as well. [00:11:09] Stephen Boyle: So there’s an element of, you know, back to the deer in the headlights, which partners are, are more important. One of my other phrases that I say on a regular basis, the winners and losers are yet to be decided in this next wave. Like, I want all of us to on the right side of that argument. Right? But, but it’s gonna be a challenge and, and companies are going through shifts. [00:11:28] Stephen Boyle: You know, Accenture, maybe, possibly doesn’t need 750,000 employees in the not too distant future. Maybe TCS at 600,000 doesn’t need 600,000 human employees. So we’re going through this dramatic shift of, you know, what’s the right balance going forward. What I would say about Microsoft is notwithstanding the fact that we’ve figured this out for 51 years, which is a little bit mind blowing, um, that you know, all the way back in the seventies we’ve gone through so many iterative changes. [00:11:56] Stephen Boyle: People have questioned just like they’ve questions. A lot of other technology companies, are you gonna be around for the long haul? I think we’ve proven time and time again, and I love Jay’s story. I’ve used that myself about how many companies disappear on a, on a decade to decade, you know, business. 10 years ago I had the opportunity to listen to Craig Clayton Christensen, who’s sadly no longer with us. [00:12:15] Stephen Boyle: Yeah. But you know, the books that he wrote and the story that he told to Microsoft 2014, we were nowhere in cloud. [00:12:21] Vince Menzione: Yeah. [00:12:22] Stephen Boyle: AWS was so far ahead of us, it was crazy. And he came in and he’s like. You know what? You guys need to be successful. You need to figure out how to cross this chasm again, and we’ve done it time and time again. [00:12:32] Stephen Boyle: You can go back. You know, Microsoft used to be known as a fast follower in ai. I don’t think we’re a fast follower. I think we’re right up there. We’re right at the front, but that race is still being run and the winners are losers are yet to be decided. [00:12:44] Vince Menzione: I was in that room with Clayton Christensen with you, by the way. [00:12:46] Vince Menzione: I remember, I remember that. That was at a Prism conference. [00:12:49] Stephen Boyle: Yeah. Yeah. [00:12:50] Vince Menzione: You men, you touched on this with the GSIs a little bit. How do you see the roles evolving? You know, we, we, we bucketed all, we’ve always been. Fantastic about bucketing ISVs or SDCs and sis and digital natives. Yeah. How does it, how does that all come together? [00:13:06] Vince Menzione: Does it come together any differently in this new AI platform era, or is it the same? [00:13:11] Stephen Boyle: I look, I, I’ve said this for a long time, like if you go into AstraZeneca, the six plus, you know, frontline partners, there’s probably a whole board of second, third tier that, that we don’t know about doing, you know, things across the AstraZeneca group. [00:13:25] Stephen Boyle: It takes several villages and sometimes a small town, especially in my world, in the enterprise world, strategic five hundreds. Yeah. Um, you know, we, we ran some reports a few years ago and it is shocking how many global systems integrators have a footprint in Shell or Exxon or, you know, bank of America or whatever else. [00:13:44] Stephen Boyle: So I’ve always believed that partner to partner is critical. Yeah. I think it became even more critical in the, in the AI world, and I’ll take my new friends at Anthropic. So I went to the first Anthropic partner Summit. Some of you might have been down there in, in San Diego, um, just a couple of months ago. [00:13:59] Stephen Boyle: Same partners, same people from the same partners. In the room, you know, talking about what they’re gonna do together with Anthropic. Um, and I’m looking out across this audience going, okay, well I know him and I know her and I know those guys, and like, I need to figure out how I’m gonna weave this together. [00:14:14] Stephen Boyle: So it’s not just an Accenture and Anthropic or an NTT data and anthropic, but it’s an NTT data plus anthropic plus Microsoft. Story going forward. And then who’s best at delivering those services capabilities? So it’s it at every juncture that I see in the, in the partner community, and this is the, the reason why I argued vehemently with Nick, that it has to be one organization I’m gonna create maybe given a little bit away. [00:14:40] Stephen Boyle: So if you’re recording, stop now. Um, I’m gonna create an enablement organization that is partner agnostic. I don’t necessarily care. I do care about the digital natives, but I don’t care about how I train them. Right. What I’m more important of is how do I train the digital natives in what the sis are doing, and how do I train the sis and what the ISVs Plus digital Natives are doing. [00:15:01] Vince Menzione: Yeah. [00:15:01] Stephen Boyle: That is my, that’s my game plan. If I fail there, then I think we fail to raise the bar and be differentiated in an AI world, and I’m not set up like that today. [00:15:12] Vince Menzione: I wanna, I wanna ask you, uh, uh, because I was looking at Jay’s slide and the, the managed piece is. And we have a lot of managed service providers in this room today. [00:15:20] Vince Menzione: A lot of them, by the way, come from the old school of managed services. The managed piece seems to be like, if I’m doing something today with ai, we’re gonna talk about security next, uh, up on stage here. It seems like there’s a new set of skills or a different approach to the customer, don’t you? Don’t you agree? [00:15:37] Stephen Boyle: I I [00:15:37] Vince Menzione: think you need to keep your hands on the steering wheel at all [00:15:39] Stephen Boyle: times. I think what it boils down to is you can’t do AI unless you do certain other things. [00:15:44] Vince Menzione: Yeah. [00:15:44] Stephen Boyle: Right. You could be a modern work specialist and you could make a lot of money being a modern work specialist, or you could be a, a dynamic specialist. [00:15:52] Stephen Boyle: We just held our, uh, inner A in a circle conference last last week, which I was disappointed to miss for the first time in a few years. Those, those days are, are, are fast becoming over. [00:16:03] Vince Menzione: Yeah. [00:16:04] Stephen Boyle: Um, why? Because everything that I’ve just said is tied together by ai. Yes. And in order to do good ai, you need good data. [00:16:12] Stephen Boyle: And in order to trust everything that you’re getting, as Judson talks about trust and intelligence, you need to wrap that in a really secure [00:16:19] Vince Menzione: Yes. [00:16:19] Stephen Boyle: You know, en en environment. Now we will do our best to provide levels of security into how we deliver ai. But that’s not the end of the game, right? You have to take it all, all the way to the edge. [00:16:30] Stephen Boyle: So that’s why a siloed partner or a singular commercial solution area partner in Microsoft’s terms, has got to transform its business. ’cause if you’re gonna do ai, you’ve gotta do those other things as well. [00:16:41] Vince Menzione: Agreed. I must see the model changing, and in fact, I see like bigger organizations becoming managed service providers in many respects. [00:16:48] Stephen Boyle: Yeah. Yeah. I mean, look, there’s still, there’s still a role for all the old terminology you mentioned is SV to sdc. Yeah. I’m like, I’m been around long enough. Look, it’s ANB still anv, it’s still an isv. Thank you. Independent software vendor. Um, and it’s, you know, where, where AI is allowing software to be, you know, frankly developed in a number of different places. [00:17:07] Stephen Boyle: We are all citizen developers. Um, you know, I was on a call with our internal leadership yesterday, um, and you guys might have heard this story ’cause I think it came out at Ignite. When we turn the agent 365, around and on ourselves. We found 130,000 agents running across Microsoft that had been developed and deployed internally with, I mean, you could call it shadow it. [00:17:28] Stephen Boyle: I guess that would be one phrase that you would use for it, but the reality is if you, if you haven’t got something to do your job today, you have the tools. To build it really, really fast. Um, and that, you know, that’s, that’s a great opportunity for people to be able to do their work, you know, in a better and in a different way. [00:17:45] Stephen Boyle: But it’s also a huge opportunity to make sure that data governance and security and all the other things that we need to deliver are there out of, out of the gate and out of the platform that we deliver. So security’s absolutely critical. Not saying that managed services won’t grow, um, at, at some level as well, but only if they transform into this multifaceted way. [00:18:04] Stephen Boyle: Yeah. Thinking [00:18:05] Vince Menzione: about, well, that’s what I was, I was gonna lead to here with innovating. It’s happening across, I mean, we’re talking about chips, we’re talking about foundational models, LLMs, we’re talking about applications, we’re talking about agents. How should we think about where to play and how to differentiate as partners in this room? [00:18:22] Stephen Boyle: I think. [00:18:25] Stephen Boyle: So look, I mean, one, one of the ways that Judson talks about it is I think silicon’s gonna change over time. Yes. NVIDIA’s definitely the 800 pound gorilla, maybe the 8,000 pound gorilla. Yeah. Uh, but you know, if you read the press, there’s, there’s things happening in, in different places as first party silicon, which we clearly are, are developing, um, in a quantum direction for sure. [00:18:45] Stephen Boyle: Um, there’s lots of different language models that haven’t even been launched on, on, on the marketplace yet, so. You know, Judson’s trying to uplevel our conversations. You’ll hear us talking about conversations more and more as we go into FY 27, um, that obviate all of those layers. Just like even when I was selling Sun Microsystems, it was about the business outcome and the business solution that we were solving for not necessarily the fastest piece of hardware or the best client service solution on, on the market. [00:19:17] Stephen Boyle: So I think what’s gonna happen over the next 12 to 24 months is we’ll have so many different models to choose from. We’ll have more silicon to choose from, but those won’t be the real buying decisions. The real buying decisions of what? How am I trying to transform my finance organization, my HR organization, and my supply chain? [00:19:36] Stephen Boyle: Because the underlying technology, Judson says commodity I, I guess I can go with that. It will be commoditized and we’ll really start to focus back on what the important things are. We’re moving a lot from pilot to production. You guys have probably seen that. The numbers that Jay just showed about how many. [00:19:52] Stephen Boyle: Projects are failing, is getting less and less because we’re getting smarter and smarter about what it takes to actually drive the business outcome. And I need all of us to be talking that same language. Yeah. Having conversations with head of HR about how we’re gonna transform human capital management in the, in the age of agents, if you like, like the underlying platform. [00:20:14] Stephen Boyle: It’s not, don’t worry about it. You wanna be on a secure platform. Don’t get me wrong. But at the same time, I don’t think we, we spent too much time worrying about that. [00:20:21] Vince Menzione: Yeah. We’re not, what you’re saying is we’re not spending enough time on outcomes. On the business outcomes. Right. And that’s where we need to focus. [00:20:27] Vince Menzione: We’re, we’re focusing on, I, I feel like we’re, it’s a signal to, to noise ratio that we’re living through right now. There’s too much noise. [00:20:33] Stephen Boyle: Yeah. [00:20:34] Vince Menzione: And we’re not focusing on the signal. I think that’s what you’re saying. [00:20:36] Stephen Boyle: I, it’s got to be, I mean, to be honest with you, it’s always been, you know, even when I sold what I would perceive, you know, sun in the nineties was a rockman ship to the stars and, you know, kind of sad what happened to that company. [00:20:47] Stephen Boyle: Um, but we, we were, we were fixated on, we had the best client server. But, but nobody was buying, you know, a piece of Sun hardware as a room heater, which is all it did, you know, like for the longest. But if you had SAP, if you had Cybase, if you had Bond, remember Bond, I mean all of those applications that drove the business outcomes, we’ve gotta get back to that kind of mentality. [00:21:09] Stephen Boyle: Yes. And worrying a little bit less about the underlying architecture. Yeah. It needs to be, it needs to be part of the conversation. ’cause it needs to deliver trust and security and intelligence and everything else. Then you need to rapidly move to what are you trying to achieve and how can we ensure the, the, the success of, of your business outcome. [00:21:27] Stephen Boyle: And look, I mean, Palantir pri you know, sort of came out and said, well, the way we do that is through forward deployed engineering. Um, and they stole the show. And, and, you know, they’re, they’re doing very well as a result of doing that. Uh, but if you go and talk to, um, Tom Siebel’s organization at C3 ai. [00:21:43] Stephen Boyle: They’ve had FDS for quite a while. You know, I told you about John Chuchu 10 years ago. John Chu, Chuck’s job was to go and get all the applications that we needed on the Microsoft phone. Remember that? [00:21:54] Vince Menzione: Yes. Um, [00:21:55] Stephen Boyle: you know, so we’ve pivoted John o over the years to doing what he’s doing now, which is to go sometimes in partnership with, with partners into the customer and say, what is it you’re trying to achieve? [00:22:05] Stephen Boyle: Let me show you how I can build that for you in three weeks or three months. That might have taken you three years. We literally just did a hackathon with one partner last, last, last week with, uh, with our ISE organization, the, the, the forward deployed, uh, group that John runs. Um, and one of the big customers said, I’ve just done in three days what would’ve taken me three months. [00:22:26] Stephen Boyle: Now he hasn’t productized it and rolled it out and blah, blah, blah. But the reality is that is how fast things are changing. And this was not a small company. This was a very, very large oil company, and they were like blown away by how much we can achieve. We’ve gotta do that at scale. [00:22:41] Vince Menzione: Yeah. [00:22:42] Stephen Boyle: You know, we, we have a commitment to scale our FDE community through partnerships to touch all of the S 500 in a very personalized way. [00:22:51] Stephen Boyle: And then, you know, at a slightly, you know, lower ratios down through the, through the majors and into, into Nicole’s SME and C world as well. [00:22:59] Vince Menzione: Jay talks about the decade of the ecosystem. He coined that term back, back on a podcast way back in nine, in, uh, in 2020. Microsoft has been at the, for, we used to call partner to partner back, back in the day. [00:23:10] Vince Menzione: Mm-hmm. Do you remember those days? How do you think about this ecosystem evolving and what steps are you taking to help bring these organizations together? Because I, I, again, we look at the seven seats or 6.3 seats at the table. The customer has the power now that they didn’t have before. ’cause they have the commitment with like with Microsoft and they can buy off of the marketplace and pull together multiple organizations to go, go do that. [00:23:34] Vince Menzione: How do you think about helping to orchestrate that as the leader of the enterprise partner business? [00:23:39] Stephen Boyle: So I’ll start with a really big example, and I’ll try and sort of scale it down a little bit. But my friends at Accenture, with the Accenture, Microsoft Business Group, we spend an awful lot of time, you know, in, in each other’s pockets, in each other’s deals. [00:23:51] Stephen Boyle: We know everything that’s going on in the Accenture, Microsoft Business Group. And a couple of weeks, or maybe a month or so ago, I was told that the Microsoft Business Group is now larger than the SAP Business group. It probably flip flops. [00:24:03] Vince Menzione: Yeah, [00:24:04] Stephen Boyle: it won’t be too long before the Anthropic Business Group is bigger than both of those. [00:24:08] Stephen Boyle: So what I need my Microsoft team to do is to not spend all of their lives in the. A MBG, the Azure, the Accenture, Microsoft Business group, but to go make friends in the Anthropic Accenture Business group and frankly still to make friends in the SAP business group and maybe in the Oracle Business Group and the list goes on. [00:24:27] Stephen Boyle: So at a macro 11, in the very largest accounts where we haven multiple practices, where we haven’t spent time before, I’m gonna. Push my people into uncomfortable zones and I’m gonna push them to go into those other areas and I’m gonna load them up with technical talent and cloud solution architects and ai, you know, forward deployed engineers. [00:24:45] Stephen Boyle: And I’m gonna force different people to talk together that haven’t talked together. So I can do that in TCS. I can do that, Capgemini, I can do that. Um, you know, in Europe with Capgemini and Misra is a classic example. Um, with the, with the Indian sis, Indian based sis, they’re all big enough where I know all the practices exist. [00:25:04] Stephen Boyle: I just need to do a better job of, of talking to them. Now, when you downsize that into, you know, into a, a company that doesn’t have all of that scale, this the same truth still holds. I need to talk to people who aren’t necessarily motivated every single day to do something with Microsoft. I need to talk to people who are motivated to do something with an AI partner or even a traditional SaaS partner. [00:25:27] Stephen Boyle: I noticed yesterday, actually no, this morning I got a notification that we just passed, um, a billion dollars in revenue on the marketplace with ServiceNow. [00:25:35] Vince Menzione: Nice. [00:25:36] Stephen Boyle: Um, and I think AWS announced the same thing, by the way this month as well. Um, so thank you to the ServiceNow people. Yeah. Um, you know, that is that there’s a tremendous demonstration of how far we’ve come in marketplace. [00:25:48] Stephen Boyle: ’cause that’s another one where we trailed AWS quite significantly. But with the right partnerships. And driving the right motions, we can, you know, we can definitely catch up and we will continue to pass, uh, some of, some of the other hyperscalers in, in, in that way. So really the bottom line to your question is partner to partner is still real. [00:26:08] Vince Menzione: Yeah, [00:26:08] Stephen Boyle: how we do it and what we use to tie things together. And I know that compensation drives behavior and we’re not gonna get into a compensation about like how we get compensated and everything else, but the reality is I’ve gotta break down those barriers and those silos and I’ve gotta deliver real meaningful enablement and practice development so that, so that the people who sit in the Anthropic business group and the people who sit in the Microsoft Business Group are spending as much time together as they are with me. [00:26:34] Stephen Boyle: That makes sense. Simply put, that’s what I, I need to achieve at scale rapidly. [00:26:40] Vince Menzione: So to, we’re getting close to time here, but as you look forward, what would define the most successful partnerships in this ecosystem? Is it, is it what you described, the opening up the aperture or for the, for the leaders in the room here today, what should they go do better and differently? [00:26:58] Stephen Boyle: Um, so obviously we’re closing out this fiscal, we’ve got Microsoft start and Microsoft start for partners coming up in July. Um, I mentioned the fact that we’re, we’re driving. Cu customer engagement through the lens of conversations and how do we achieve business outcomes? I would encourage you to, to gravitate, if you like, above the commercial solution areas where you might have understood, this is how I interact with Microsoft today. [00:27:23] Stephen Boyle: Um, and abstract it up to that AI layer. You know, think about trust, think about intelligence, think about business outcomes, and how do I potentially weave together a story? If I’m in the dynamic space, how do I get better in data? If I’m in the data space, how do I get better in. In that modern work environment, but really use AI as the overlay to, to help tie that together. [00:27:44] Stephen Boyle: That’s one thing. The second thing is if we’re not training you in the right direction, it’s stevenBoyle@microsoft.com. Let me know. Awesome. Um, we’ve got programmatic stuff, um, you know, and we’ve got high touch stuff as well. So I think this is, this is another time where Microsoft is gonna over pivot on all of the training and enablement that we need to do to make sure that you’re, you know, you’re grounded in our platform. [00:28:07] Stephen Boyle: Um, I think there’s a huge opportunity with this agenda future to become more of a software partner. You know, even the deepest services organizations are going to need agents, and the more successful ones will be the ones that can turn on those agents in a repeatable way. So. Our agents, the new SaaS. I’m not exactly saying that, but I think that the agen future is one where even the more services oriented companies will, will have teams of agents that they’re deploying. [00:28:35] Stephen Boyle: In fact, I had a very, very large systems integrator, um, in, in the EBC just about a month ago, three weeks ago. Um, and I was sat next to their head of consulting and he showed me what he called his God dashboard. Uh, and right in the middle of his God dashboard there are like 450 accounts. All of whom I recognized, ’cause they were all in the enterprise, right in the middle of his dashboard was, how many tokens am I spending? [00:29:00] Vince Menzione: Yeah. [00:29:01] Stephen Boyle: Like, not like what’s my daily runway? You know, not am I making a profit on that account or anything else like that is like, how many tokens have I consumed? Yeah. Because there is an awful lot of, that is the new juice, if you like. That’s, that’s driving the success. You can have the smartest people on the planet, but you’ve got to still arm them with all the best tools that are available out there. [00:29:22] Stephen Boyle: So it’s fascinating to listen to him, how he had gone through that thing of, you know, agent sprawl, how many are really working, how many are not working? How can we prove that? You can prove it through, you know, managing your tokens. There’s a new version of. Finops for tokens, for want of a better phrase, that’s gonna be critical for us all to understand. [00:29:40] Stephen Boyle: ’cause they’re not cheap, they’re not free, that’s for sure. And, and they might not be cheap if you’re not, if you’re not managing them and using them effectively. Yeah. So that’s the other thing that I would really get on top of. And, you know, we’re gonna make some announcements in the not too distant future about the consumption driven future. [00:29:56] Stephen Boyle: Um, that, that we will, that we will deliver with our first party and third party platforms going forward. So that’s another. Another critical thing [00:30:03] Vince Menzione: sounds like some exciting announcements. Pretty soon. [00:30:06] Stephen Boyle: Yeah, could look close. Quarter four, help me close. Quarter four. Yes. That’s priority number one, two, and three right now. [00:30:12] Stephen Boyle: Uh, but get ready for some, you know, for some new announcements in July. Um, look, the future is incredibly bright with Microsoft. It’s incredibly bright in the industry as a whole, right? I mean, let, let’s be honest, the, the growth targets that we will have for ne next year are astronomical, and we will not make them without the partner community that we have, without training and enabling the partner community that we need for tomorrow. [00:30:34] Stephen Boyle: So like, stay close, you know, stay engaged. Talk to your partner development managers, talk to the talk to field reps, talk to the accounts that that, that you are in, and stay as close as you possibly can to our emerging strategy. And, um, you know, look, I, I think if I had fivefold or tenfold the people I have today, I still wouldn’t be able to touch everybody that I would like to touch in the partner community. [00:30:58] Stephen Boyle: So I’ll apologize in advance. Um, but we’re gonna have some, you know, some really cool ways of learning. Um, and we’re gonna make sure that they’re available to the widest possible audience. [00:31:07] Vince Menzione: Well, we bring the practitioners and the experts in the room to help with that as well. Right? Yeah. Because you can’t always have a partner development manager tied to everybody in the room. [00:31:14] Stephen Boyle: I, I would do hackathons on AI every week with every partner and every part of the world, but I can’t. [00:31:19] Vince Menzione: Yeah, exactly. Well, so good to have you today. Thank you. So good to see you again. I don’t know what your schedule is like. I, we didn’t, we don’t have enough time for questions. [00:31:28] Stephen Boyle: That’s cool. [00:31:28] Vince Menzione: From the audience. [00:31:29] Stephen Boyle: I’m gonna stay around for a little [00:31:30] Vince Menzione: while this [00:31:30] Stephen Boyle: morning and I’m coming back [00:31:31] Vince Menzione: for cocktails. Alright, terrific. So. Stephen Boyle will be here for cocktail hour. Thank you. Four 30 and uh, I wanna thank you, sir. So good to have you. Thank you. Good to see you. Absolutely. [00:31:42] Stephen Boyle: So much. Absolutely. Hey, thanks everybody. [00:31:43] Stephen Boyle: Thanks for what you do today, and hopefully thank you for what you do tomorrow as well. [00:31:46] Vince Menzione: Thank you. An incredible leader. [00:31:49] Stephen Boyle: Don’t forget, ultimate [00:31:51] Vince Menzione: partner Alive is coming soon, June 18th at our executive breakfast in New York. I hope to see you there.Description The Future of Tech is Here. Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ I

YouTube is bringing back DMs, and it could completely rewrite how the algorithm pushes your content. Plus, Accenture's massive acquisition of the Whalar influencer agency to CAA's newly formed $250M fund for creator-led businesses, and Hollywood's sudden embrace of TikTok-style short-form series highlighted by a new partnership with the Sundance Institute.00:00 The Power of Video Clipping04:36 YouTube Brings Back DMs07:04 Is YouTube a Social Network?08:00 How DMs Drive the Algorithm10:20 TikTok Partners With Sundance12:38 Hollywood Embraces Vertical Dramas15:46 Accenture Acquires Whalar Agency18:38 CAA Launches $250M Creator Fund19:56 The Social Reckoning TrailerCreator Upload is your creator economy podcast, hosted by Lauren Schnipper and Joshua Cohen.Follow Lauren: https://www.linkedin.com/in/schnipper/Follow Josh: https://www.linkedin.com/in/joshuajcohen/Original music by London Bridge: https://www.instagram.com/londonbridgemusic/Edited and produced by Adam Conner: https://www.linkedin.com/in/adamonbrand

A month forecasted that Accenture was about to make a material acquisition in the creator space. This week it happened. Accenture Song is acquiring Whaler Agency — the most awarded creator agency in the Western hemisphere in a carve-out plus three-year partnership that's far more interesting than the headline.But is it really "the largest creator economy transaction ever"? Christian runs the math. The claim doesn't survive contact with a calculator unless there's a lot more going on than a simple agency purchase.Christian and Ayelet break down the structure, what Accenture actually bought (hint: it's the $600M in media spend and the measurement layer, not just the creators), and why this probably isn't the end of Accenture's media buying spree.⏱️ TIMESTAMPS0:39 — Welcome to Market and Deals Friday, June 121:20 — The victory lap: our Episode 61 Accenture prediction came true2:06 — Why the deal took longer than expected (deals just take time)2:20 — Why we didn't name Whaler at the time — protecting a people-heavy business3:05 — When and how to tell your team you're selling: a real consideration for owners3:46 — What happened: Whaler Agency joins Accenture Song, terms undisclosed4:28 — The $44B creator economy and why Whaler sits in the middle of it4:50 — The real prize: $600M in media spend + the measurement and data layer5:33 — Reading it against the holdcos: consultants are coming for creator businesses6:16 — The math problem: can this really be "the largest creator economy deal ever"?6:50 — Why a $500M price on ~$12M EBITDA (40x) doesn't add up for the agency alone8:00 — The carve-out + call option + licensing theory that makes the number work8:30 — Is Whaler Agency just step one? Why Christian doesn't think so9:46 — Accenture Song's creator build: 9 acquisitions in 2024 alone10:16 — Why $600M in media spend is the growth-acceleration play vs. single-digit agency growth12:28 — Moelis advised Whaler; Accenture Song's corp dev ran it in-house13:46 — Why this is a planned (not closed) deal — and what shareholder disclosure will reveal14:35 — Quick hit: Walker Sands acquires Rev Partners (Mountain Gate turns on the engine)15:35 — Why Mountain Gate is already doing M&A less than a year into Walker Sands16:00 — Quick hit: Channable acquires Metreon — server-side conversion tracking16:41 — Quick hit: Sitecore acquires Scrunch — AI search optimization beyond traditional SEO18:16 — The connective tissue: four deals, zero disclosed prices, all capability buys18:31 — Why AI won't kill feed management anytime soon (the 20-30% false positive rabbit hole)20:11 — The bet: Accenture's next move is about media, not agencies20:38 — Structure over headline EV — the drum worth beating for every smaller shop21:06 — Wrap and a Knicks championship wish

The BPO Industry Isn't Dying. But It May Need to Reinvent Itself Faster Than Anyone Expected. Yuma AI CEO Guillaume Luccisano argues that customer experience providers must evolve from labor arbitrage specialists into AI orchestrators and systems integrators—or risk becoming irrelevant. For years, critics of the business process outsourcing industry have predicted its demise. First it was robotic process automation. Then conversational AI. Then Generative AI. Yet the industry survived every previous wave of disruption because technology changed the way work was delivered rather than eliminating the need for the service itself. In episode 420 of the CX Files, Guillaume talks to Mark Hillary about these changes and how BPOs may need to adapt. https://www.linkedin.com/in/guillaumeluccisano/ https://yuma.ai/ -------------- Summary: Mark Hillary and Peter Ryan discuss the impact of AI on the BPO industry, featuring Guillaume Luccisano, CEO of Yuma AI. Luccisano argues that traditional BPO models are outdated, emphasizing AI's potential to automate 100% of customer service within 2-3 years. He highlights Yuma AI's success in deploying AI agents since 2023, achieving automation rates up to 89%. Luccisano predicts a significant shift in the job market due to AI, suggesting BPOs must evolve into systems integrators to survive. He also notes the cost efficiency of AI, with interactions costing under $1 compared to $4-$8 for human agents. ---- The BPO Industry Isn't Dying. But It May Need to Reinvent Itself Faster Than Anyone Expected. Yuma AI CEO Guillaume Luccisano argues that customer experience providers must evolve from labor arbitrage specialists into AI orchestrators and systems integrators—or risk becoming irrelevant. For years, critics of the business process outsourcing industry have predicted its demise. First it was robotic process automation. Then conversational AI. Then Generative AI. Yet the industry survived every previous wave of disruption because technology changed the way work was delivered rather than eliminating the need for the service itself. But according to Guillaume Luccisano, founder and CEO of Yuma AI, this time may be different. Speaking on Episode 420 of the CX Files podcast, Luccisano argued that the traditional BPO model—selling customer service through large pools of human agents—is facing a challenge unlike anything it has encountered before. His view is stark: AI is no longer just helping agents do their jobs better. It is increasingly capable of doing the job itself. And if that trend continues, the industry will need to redefine its purpose. The End of the "Cost Per Interaction" Era Luccisano's company specializes in AI-powered customer service automation for retail and e-commerce brands. He claims some clients are already automating the vast majority of customer interactions. What has changed, he argues, is that AI is no longer limited to answering questions from a knowledge base. Modern AI agents can access customer records, understand context, follow workflows, execute transactions, and complete tasks. In other words, they are moving beyond information retrieval and into operational execution. This matters because the traditional BPO business model has largely been built around charging for human effort—whether measured in agents, hours, seats, or interactions. If AI can handle increasing volumes of customer contacts at a fraction of the cost, then the economics begin to shift dramatically. A contact that once required several dollars of human labor may eventually be resolved for a few cents in computing costs. Even if those figures are debated, the direction of travel is becoming difficult to ignore. The Problem Isn't Technology. It's Incentives. One of Luccisano's most interesting observations is that many outsourcing providers are already talking extensively about AI. The question is whether they are deploying AI to genuinely transform operations or merely adding enough AI to satisfy customer demand while protecting existing revenue streams. That creates an uncomfortable tension. A provider whose business depends on thousands of agents has little incentive to aggressively deploy technology that could reduce the number of agents required. As Luccisano noted, many providers find themselves caught between serving today's business model and preparing for tomorrow's. The challenge is not technical. It is organizational. And perhaps even existential. Why Investors Are Nervous The sharp decline in the share prices of several publicly traded CX providers has fuelled speculation about the sector's future. Luccisano believes investors are not simply reacting to hype. They are attempting to price in a future where customer service becomes significantly more automated, more efficient, and therefore less dependent on large labor-intensive operations. Whether investors have overreacted remains open to debate. But the market is clearly asking a difficult question: What happens to a company built around managing tens of thousands of customer service agents when customers increasingly expect AI-driven efficiency? The answer remains uncertain. But it is a question every provider now has to confront. The Hidden Complexity Most Critics Ignore To his credit, Luccisano does not dismiss the value that BPOs create today. Customer interactions are only one piece of a much larger operational puzzle. Large CX providers manage compliance requirements, regulatory obligations, security controls, multilingual operations, workforce management, governance frameworks, quality assurance, and complex integrations across dozens of markets. Replacing an individual customer service interaction with AI is one thing. Replacing the entire operational framework surrounding customer service is something else entirely. This is where many simplistic predictions about the "death of BPO" fall apart. The institutional knowledge accumulated by major outsourcing firms still has value. The question is whether that value can be repackaged. From Outsourcer to Systems Integrator Perhaps the most important idea from the conversation was Luccisano's belief that the future role of the BPO may look less like a labor provider and more like a systems integrator. Rather than selling headcount, providers could sell expertise. Rather than managing agents, they could manage AI agents. Rather than staffing operations, they could design, orchestrate, govern, optimize, and continuously improve AI-enabled customer experience ecosystems. This is a subtle but profound shift. It moves the provider higher up the value chain. The emphasis shifts from execution to orchestration. From labor to outcomes. From workforce management to intelligent systems management. Ironically, this would bring some BPOs closer to the role that companies like IBM, Accenture, and other major technology integrators evolved into years ago. A Difficult Transition The challenge, of course, is that transformation is easier to describe than to execute. Reinventing a startup is one thing. Reinventing a global organization employing hundreds of thousands of people is another. Many of today's largest CX providers are highly successful businesses with established customer relationships and predictable revenue streams. That success can become a barrier to change. The dilemma is obvious. How aggressively should a company invest in technologies that could cannibalize its own business? History suggests that incumbents often struggle with precisely this problem. The Bigger Question Perhaps the most controversial part of Luccisano's argument extends beyond outsourcing entirely. He believes AI is creating a broader economic transformation that will affect many knowledge-based professions, not just customer service. Software engineering, consulting, administration, legal services, and customer experience are all beginning to feel the effects. If he is right, then the debate is no longer about whether AI will change customer service. The debate is about how quickly institutions can adapt to a world where intelligence itself becomes abundant and inexpensive. The Future May Belong to the Adaptable The most important takeaway from this discussion is not that BPOs are doomed. In fact, Luccisano repeatedly acknowledged that some providers will survive and potentially thrive. But survival may depend on abandoning the assumption that customer service is primarily a labor business. The providers that succeed could be those that become trusted advisors, AI operators, governance experts, and systems integrators. The providers that fail may be those that continue selling people when customers increasingly want outcomes. The outsourcing industry has reinvented itself before. The question now is whether it can do so again—at the speed AI demands.

In today's MadTech Daily, we look at MENA becoming the fastest-growing advertising market, Whalar joining Accenture in an acquisition deal, and VCCP unveiling a new retail media offering alongside an ECD appointment.

Arnaud Naudan reçoit Anne Pruvot, directrice générale de SNCF Connect & Tech. Consultante pendant plus de 20 ans chez Accenture puis Oliver Wyman, Anne Pruvot bascule en 2021 du côté de l'exécution, de la décision et de la transformation opérationnelle.Ensemble, ils reviennent sur son parcours, Anne partage les coulisses de ses 21 ans chez Accenture (où elle contribue dès 2000 à créer voyagessncf.com), puis son arrivée en 2021 à la tête de SNCF Connect & Tech, une structure qu'elle connaît intimement et qu'elle veut préparer aux mutations radicales du secteur : ouverture à la concurrence, multiplication des systèmes de distribution, transformation des métiers par l'IA.Un échange sincère sur le passage du conseil à l'opérationnel, l'importance de l'expertise qui se redéfinit chaque jour, la conviction permanente nécessaire pour embarquer les équipes, et l'art de planter des arbres dont on ne profitera pas de l'ombre, quand on pilote une entreprise qui a vendu 233 millions de billets de train en 2025.Coulisses de CEO est un podcast de BDO France. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Show Summary:    Mudita Khurana — Tech Lead at Airbnb and the person who always says, “I got this” No Password Required Season 7: Episode 6 - Mudita Khurana   Mudita Khurana is a Tech Lead for Automated Tooling and Vulnerability Management at Airbnb, where she focuses on building modular, scalable security systems in an era of rapidly evolving AI threats. Before Airbnb, she spent nearly a decade in security roles across Accenture, Meta, and PwC, making bold career pivots along the way, including turning down a PwC return offer to join Facebook's product security team. In this episode, Mudita shares her journey from a family of doctors in India to Carnegie Mellon and into the heart of Big Tech security. She discusses what it means to thrive as a non-traditional engineer in a deeply technical field, why she stepped back from management to get closer to the work, and how she thinks about building security tooling that won't be obsolete in three months. Jack Clabby and co-host Kayley Melton, recording live from Tampa B-Sides at the University of South Florida, talk with Mudita about imposter syndrome, AI's curveballs for security teams, leadership without a leadership title, and the importance of community in staying on top of a field that never stops moving. She also reflects on what great mentorship looks like early in a career and why clarity, ownership, and consistency are the leadership qualities she keeps coming back to. In the Lifestyle Polygraph, Mudita firmly plants her flag in the Harry Potter universe as Hermione, explains why Deadpool doesn't qualify as a superhero, debates gym vs. nature as a reset strategy, and reveals her dream remote work base: a high-altitude Buddhist mountain town in the Himalayas.   Follow Mudita on LinkedIn: https://www.linkedin.com/in/muditakhurana/     In this episode: Mudita shares her unconventional path into cybersecurity, highlighting the importance of mentorship and curiosity (0:25 - 1:37) The significance of mentorship, especially Vandana Verma, in her career development (2:26 - 4:00) Transition from management to technical IC roles and why staying close to technical work matters (9:29 - 10:23) The influence of her education at Carnegie Mellon and how it broadened her problem-solving skills (6:23 - 7:41) Navigating imposter syndrome and embracing challenges as growth opportunities (3:26 - 5:29) How AI is changing cybersecurity strategies—building modular, layered systems for agility (15:31 - 16:26) The importance of community, trust, and consensus in cybersecurity decision-making (17:06 - 17:47) Mudita's favorite places for remote work and balancing planning with spontaneity in travel (23:01 - 24:13) Her personal approach to wellness, exercise, and resets during busy days (21:32 - 22:36) Her unique perspective on superhero characters, favorite places, and cultural roots (18:54 - 19:36, 25:19 - 26:21) Timestamp Highlights: (00:25) Mudita's 10-year journey into cybersecurity starting from India (02:26) Mentorship's critical role in her growth and her admiration for Vandana Verma (09:29) Transition from management back to technical roles and why staying close to the work matters (15:31) How AI fosters layered, modular security systems for faster adaptation (17:06) The importance of community and trusted information sources in security (21:32) Reset routines—gym versus nature hikes—and staying grounded during busy days (25:19) Leh, Ladakh: Mudita's ideal remote work location nestled in Himalayan beauty Resources & Links: Vandana Verma - Influential mentor in cybersecurity ThreatLocker - Supporter of this podcast Cyber Florida – The Mother Ship

In this episode of The Get Down: Beyond Bitcoin, host Cleve Mesidor sits down with Nilmini Rubin, Chief Policy Officer at Hedera and a seasoned Washington insider. With a career spanning the White House National Security Council, the U.S. Senate, and tech giants like Meta, Nilmini brings an elite policy perspective to the digital asset frontier. The conversation dives deep into how her background in global infrastructure and international finance shapes her work at Hedera, why enterprise-grade adoption is key to the network's decentralized vision, and what the shifting regulatory landscape means for crypto innovation through 2026 and beyond.All Things ButterscotchHost Cleve Mesidor shares an exciting milestone for the expanding Butterscotch Media universe: FinTech TV Partnership: The Get Down Beyond Bitcoin is officially bringing its high-impact conversations to FinTech TV's newly launched podcast network, broadening its reach to an entirely new audience of financial innovators and digital asset leaders.Interview with Nilmini Rubin (Chief Policy Officer at Hedera)The Power Africa Connection: Nilmini describes how drafting the bipartisan Electrify Africa Act during her time on Capitol Hill opened her eyes to how energy constraints stifle local economies—and how Hedera's ultra-low energy footprint ultimately drew her into the layer-1 ecosystem.Invisible Ubiquity: A breakdown of the big announcements from HederaCon in Miami, highlighting the new "Clipper" protocol innovation designed to pass information seamlessly across networks and foster true cross-chain interoperability.Enterprise Over Pilots: Inside Hedera's unique 39-member governing council and its major institutional additions—including FedEx utilizing the chain for tracking supply chains, alongside Accenture and McLaren Racing.Sizing Up the Shifting Bills: A real-time analysis of the Clarity Act moving through Senate Banking and Agriculture committees, and a look back at why the Genius Act proves bipartisan consensus is highly achievable on Capitol Hill.The 2026 Tax & Rulemaking Frontier: Why the conversation is quickly pivoting toward international tax parity with regions like the UK and Europe, alongside an inside look at the SEC and CFTC's joint interpretation explicitly designating HBAR as a digital commodity.Leading with Learning: How her board position at the Blockchain Foundation guides local congressional briefings (featuring Reps. Young Kim and Joyce Beatty) to humanize Web3 policy and meet lawmakers exactly where they are.The Fountain of Youth: Nilmini drops her ultimate work-life balance hack—she is a competitive adult figure skater—explaining how she adapts sports psychology and rigorous muscle-memory routines to the frantic pace of 24/7 crypto regulation.About Nilmini Rubin, Chief Policy Officer, HederaNilmini Rubin has over 20 years experience in international technology, energy, and democracy policy and is Chief Policy Officer at Hedera. Previously, she lobbied on cybersecurity for the Information Technology Industry Council and contributed to Meta's policy team.Nilmini led Tetra Tech's global division implementing energy and internet projects that resulted in millions of people gaining access to electricity. She served as a senior aide at the U.S. Senate Foreign Relations Committee and U.S. House Foreign Affairs Committee where she spearheaded passage of legislation to provide electricity access in Africa, increase global internet access, and reduce corruption. As a Director at the White House's National Security Council, Nilmini helped secure agreements on non-proliferation, international health, and foreign aid.She was named a Young Global Leader by the World Economic Forum, is a member of the Council on Foreign Relations, and an advisor to the Women's Democracy Network.Links from the episodeCONNECT WITH NILMINI RUBIN:X (formerly Twitter): https://x.com/nilminirubinLinkedIn: https://www.linkedin.com/in/nilminirubinCONNECT WITH HEDERA:Website:https://hedera.comX (formerly Twitter): https://x.com/hederaLinkedIn: https://www.linkedin.com/company/hedera-network CONNECT WITH BUTTERSCOTCH MEDIA:Website: butterscotch.mediaFinTech TV Network: https://fintech.tv/category/the-get-down-podcast-series/Subscribe to Chews Tipsheet: butterscotch.media/subscribeFollow us on X: @butterscotch360

What if the secret to staying irreplaceable in the age of AI isn't working harder — it's getting more creative? That's the central argument of SuperCreativity: Augmenting Human Creativity in the Age of Artificial Intelligence, the new book by global keynote speaker James Taylor. In this episode of the Business of Story, Park Howell sits down with James to explore how the world's top communicators are using AI not to replace their stories — but to tell them with far greater precision, resonance, and impact. From managing Rolling Stones members at the Royal Albert Hall to speaking for Apple, Cisco, L'Oreal, and PwC across 25+ countries, James brings a rare combination of creative instinct and strategic intelligence to the AI conversation. In this episode you'll discover: • Why AI is fueling a New Roaring Twenties — and what that means for entrepreneurs and business leaders • How James uses psychometric AI analysis to profile audiences before he ever steps on a call or stage • The 250-story story bank system that powers his hyper-personalized keynotes • Why your emotional promise matters even to the most analytical, data-driven audiences • What a live StoryCycle Genie® brand analysis revealed about James's Visionary Magician archetype and emotional promise of "possibility" • The standing ovation story from a billionaires' bank in the UAE that proves emotional storytelling transcends every culture and industry • How to build a speaker brand with the same discipline James learned managing rock stars About James Taylor James Taylor M.B.A., F.R.S.A. is an internationally recognized keynote speaker on creativity, innovation, and AI. He has spoken for Fortune Global 500 companies including Apple, Cisco, Deloitte, Accenture, L'Oreal, EY, Visa, and Dell, and was recently the subject of a 30-minute BBC documentary. He has personally interviewed over 750 of the world's leading creative minds and reached hundreds of thousands of people in 120+ countries. He is a Fellow of the Royal Society of Arts — alongside Benjamin Franklin, Bob Dylan, and Nelson Mandela. His new book is SuperCreativity: Augmenting Human Creativity in the Age of Artificial Intelligence. Connect with James Taylor:

Description The Future of Tech is Here. Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ In this presentation from Ultimate Partner Live, industry analyst Jay McBain breaks down the monumental macroeconomic shifts rewriting the tech sector in 2026. https://youtu.be/r0qTDyw97Gs As the industry rapidly approaches a $6.07 trillion valuation, driven by massive AI infrastructure investments from Sam Altman and the “Magnificent Seven,” traditional sales and channel models are fundamentally collapsing. McBain reveals how buyer demographics have transformed to an integration-first millennial base, why marketplace ecosystems now command over half of all partner-funded deals, and how a tiny elite of just 1,000 tech service providers control two-thirds of global tech revenue. Learn the exact mechanics behind how Microsoft out-partnered AWS to win 26 straight quarters of dominant growth and how your business can deploy an algorithmic early warning system to capture massive wallet share before competitors even step into the boardroom. Key Takeaways Over half of the Fortune 500 companies vanish every 20 years because their leadership fails to anticipate macroeconomic technological cycles. The true opportunity in the $6.5 trillion AI boom lies not in single vendor products, but in the hardware, software, services, and telecom ecosystem surrounding them. Indirect tech sales are undergoing a structural shift toward direct cloud hyperscaler models driven heavily by Nvidia's core infrastructure client base. Modern business deals are won or lost months before the point of sale based on the average of 6.3 partners surrounding a customer’s environment. Over 51% of tech buyers are now millennials who prioritize software integration capabilities and digital marketplaces over traditional human sales interactions. Tech service economics are pivoting aggressively away from upfront margins toward point-based multi-partner funding across subscription cycles. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Nvidia AI buildout, $7 trillion AI opportunity, cloud ecosystem decade, Microsoft vs AWS growth, multi-partner cloud deals, digital marketplace migration, millennial B2B buyers, B2B tech subscription economics, tokenized micro consumption, tech services wallet share, hybrid cloud infrastructure, 28 customer moments, IT services industry growth, telecom spend breakdown, channel chief strategy, managed service providers MSP, global systems integrators GSI, software integration first, point-based vendor incentives, automated co-selling workflows Transcript JAY McBAIN AUDIO PODCAST [00:00:00] Jay McBain: So to go back to that story about the 53% of companies who are gonna fail, one of us is gonna be asked to write the book, but chapter one is always you Blame the CEO. [00:00:13] Vince Menzione: We just came back from Ultimate Partner live in Bellevue, Washington, where we hosted incredible leaders for two amazing days. Come join us for this next session where we explore the tectonic shifts we’ve all been seeing. With that, I am incredibly blessed to invite a friend of mine to the stage. I have a quick little side note, like I found an old LinkedIn post from this gentleman from like many years ago, like 20 years ago. [00:00:39] Vince Menzione: And I wasn’t really that nice to you on that LinkedIn post. Like, oh, like this is before Jay became the Jay, that we all know Jay to be j. But he was in the space and I was at Microsoft doing something and he reached out about something. It was kind of rude, Jay. I was like, oh my gosh. I can’t believe. But Jay has been a great friend. [00:00:54] Vince Menzione: When we started the podcast back up, uh, during COVID we started doing podcasts together. When we moved to the studio, Jay was the first person in the studio. He’s always got a spot, uh, at our events. He’s s Spot Art, and, and he’s a great friend and supporter of Ultimate Partner Jay McBain. For those of you who don’t know him, Jay, welcome. [00:01:13] Vince Menzione: Thank you, sir. [00:01:22] Jay McBain: 31 days ago, we landed Artemis two. The furthest humans have ever been away from the planet Earth 57 years ago. We landed on the moon in the 56 years. Between those two moments, the tech industry has been the fastest growing industry in the world. Every single year we moved from the space race to the technology race, and we’re just getting started. [00:01:46] Jay McBain: If you’re old enough, you’ll recognize the mainframe and mini era for 20 years. You’ll recognize a young disheveled Bill Gates showing up in Boca Raton, Florida for, uh, August the 12th, 1981 launch, where Bill thought that every one of us would’ve a PC in our home, and IBM thought they were gonna sell 10,000 of them to hobbyists. [00:02:12] Jay McBain: 1999, a small startup from an executive who just left Oracle in San Francisco named Mark Benioff. A couple of years later, Jeff Bezos went into a boardroom and said, listen, we’ve spent a lot of money building infrastructure to our busiest day, Christmas, black Friday. You’re telling me this stuff sits idle 10 or 20% for the rest of the year. [00:02:35] Jay McBain: Why don’t we rent that out to others? Got laughed outta that boardroom and then got made of fun of on magazine covers. Maybe you should just tend the store, let the adults talk about technology. In March of 2023, our neighbors, our friends, our family saw DeepFakes. They saw poetry, they saw music, and they came to us as tech people and said, did we just light up Skynet? [00:03:03] Jay McBain: Now every one of these 20 year eras, this is the Taylor Swift version of our industry. Every single one of these eras triggers the fastest growing product in history. Today it’s actually Chacha bt first to a billion users. It triggers a new, richest person in the world, bill Gates, to Jeff Bezos. Now, Elon Musk is the first to sign a trillion dollar pay package, and it’s not for car. [00:03:27] Jay McBain: It’s not for cars. It also triggers a most valuable company in the world change. And today that’s nvidia. These are monumental changes in our industry and they’re monumental changes in partnering every single time. And it also links to our customers. If you take a 20 year view of business, one era, and, and think about the AI era, you know, at the start of it here, if you’re to grab the Fortune 500 magazine from 20 years ago and start to flip through it, 53% of the companies in there no longer exist. [00:04:06] Jay McBain: Every 20 year cycle, we lose over half of the biggest companies in the world. These are the companies that have very deep pockets to buy their way outta problems. If you’re not in the Fortune 571% of tech companies don’t make it 10 years. These are the changes that cost industries. There are changes that cost really big companies and the decisions we make, the trends we’re in right now, in 2026 will be written about in the future. [00:04:39] Jay McBain: This new era, a lot of big numbers being thrown around. Vince’s best friend talk about a six and a half trillion dollar AI opportunity, but it’s not Microsoft’s tam. Microsoft is chasing about a trillion dollars of this. And the ecosystem, the hardware, the software, the services, the telecom is gonna make up the rest. [00:05:04] Jay McBain: It is an ecosystem. Every time these big numbers are thrown, the word ecosystem is always thrown around it. Not to be outdone, Sam Altman’s talking about a $7 trillion build out. The world economy this year, the world GDP will be 126. These are material numbers to world GDP, but even better, they’re both larger than our entire industry is today. [00:05:27] Jay McBain: So what took 56 years of the fastest growing industry this year will be $6.07 trillion. Big numbers, but it’s easier to think about it in terms of a dollar that our customers spend in that dollar. They’re gonna spend 25 cents on hardware. They’re gonna spend 25 cents on software. So for anyone that read the memo 15 years ago, that software’s gonna eat the world, there’s still a dollar a hardware to run every dollar of that software. [00:05:57] Jay McBain: And whether you’re thinking humanoid robots or whichever future you’re envisioning, there’s going to be a dollar of hardware to run every dollar of software for the next 20 years. There’s over 25 cents now in IT services, and in many cases, these services are growing faster than the product categories and just under 25 cents in telecom, that’s how it breaks out today. [00:06:19] Jay McBain: And this industry, which took 56 years to get to this point, is gonna double in size in the next three to five years. We already have two and a half trillion of that seven raised and being spent. Part of the reason Nvidia is the most valuable company in the world. Now our industry, uh, you talk about ultimate partnerships. [00:06:40] Jay McBain: Our industry traditionally, and world trade by the way, is 75% indirect. The dealerships, the agencies, the brokers, the resellers, the retailers, the franchisees, the gas stations, the grocery stores, the pharmacies, all 27 industries sell indirect. You gotta think back the last time you bought something direct. [00:07:01] Jay McBain: Well, I bought a Dell from that dude in the nineties. Cool. Well, Dell Technologies is now 60% indirect. Well, I bought insurance. Direct is 15 minutes. Could save me 15%. Well, Geico last year sold more insurance through agencies and brokers than they did direct. This is the world now. We used to be 75% indirect four years ago. [00:07:26] Jay McBain: Then it went to 73.2, then it went to 70.1 and it then it went to 66.7. By the way, marketplace is in these numbers indirect. It’s not marketplace causing this change. It’s one company, Nvidia. Nvidia has seven customers. The magnificent seven, uh, half of them are in the room right now that every morning we wake up to a hundred billion dollars press release about this $7 trillion buildout. [00:07:56] Jay McBain: What’s interesting is indirect sales in our industry is growing by revenue. It increases every year, just not at the pace that this AI build out is happening direct with seven companies. But the reason we’re all here, and I think the core reason that Vince is building this community is this, you know, Microsoft forever has measured and been very vocal. [00:08:21] Jay McBain: About 96% of their deals have partners in them. Kind of who cares, who collects the money. We care about the moments, the 28 moments before the customer makes a purchase. We care about every 30 days forever, because two thirds of our industry, over $4 trillion now is subscription consumption based. Winning a customer today is only winning the first 30 days. [00:08:46] Jay McBain: We care about this cycle. We care about who surrounds our customer. So six years ago, I stood on a big stage and said, you know, we went through a decade of sales. You know, in 1999, you thought you were born to be a salesperson. You’re managing your territory with your gut. Well, a few years later, you were introduced to the science of selling. [00:09:07] Jay McBain: You know, 10 years later you thought as a marketer, you sit around a cocktail party joking with your friends, 50% of my marketing dollars are wasted. I just don’t know which 50%. Really funny. In 2009 until every 58-year-old CMO got replaced by a 38-year-old growth hacker. Coming in with Marketo and Eloqua and Pardot and HubSpot, and 15,505 as of yesterday, MarTech and iTech tools, ninjas in marketing, they wouldn’t let a nickel go through without measuring. [00:09:43] Jay McBain: Now we understand 96% of deals and partners that surround it. No deal is gonna be won or lost in this era without partnering effectively. So we had to have this decade of the ecosystem. One of the ways we’re tracking is by outsiders. You know, Salesforce every year publishes the state of sales and they’ve got, you know, the number one CRM in the world. [00:10:05] Jay McBain: So they get to go talk to all the CROs, all the salespeople in the world. And as of this year, a couple months ago, 94% of every salesperson in every industry in the world uses partners every single day. You wanna see what this number was six years ago. Also, 89% of salespeople around the world don’t think they’re going to club this year without partners. [00:10:29] Jay McBain: So this is a big moment for us, halfway through the decade ecosystem, but we’re only halfway through. We’re starting to understand now at a more granular level. What partnering means. It’s not theory, it’s not flywheels. It’s not really cute. McKinsey slides that we keep showing to our board saying how important partnering is. [00:10:51] Jay McBain: We’re trying to get to the very specific level of the 6.3 partners on average that surround the deal and what they’re doing. How their business model works, and that’s average if I’m working on a public sector deal. I was at a Red Hat conference yesterday talking sovereignty. If I’m in an enterprise or a large public sector deal, it’s north of 10 partners in the deal. [00:11:15] Jay McBain: So we’re starting to understand what used to be this, this, you know, you’ve been the fastest growing industry for 56 straight years. Every single professional services person in every industry has come in to join the fund. Over 90% of accountants are tech services firms. Over 90% of marketing agencies are tech services agencies. [00:11:36] Jay McBain: All of this 250,000 software companies, a million emerging comp tech companies, the half a million VAR that have been in that traditional channel. The managed service providers, all of these 20 different partner types, millions of companies, tens of millions of people competing for 6.3 spots. Around the customer. [00:11:58] Jay McBain: That’s it. Luckily, there’s 141 million global customers to compete for. There’s, there’s some open slots that you can go find, and that’s the point. Our industry never had our own Fortune 500. We always talk to, you know, these partners and GSIs are doing this and SI are doing that. And we never really had a view of capability and capacity or what our own TAM was inside of that partnering. [00:12:25] Jay McBain: And so we set out and we would’ve loved, you know, chat GPT or Gemini or Claude or any of those tools to do this. But there’s one problem in partnering with AI is that it doesn’t know one partner from the next. There’s a big digital sameness problem in our industry that every single partner, whether it’s Larry in the White van or Accenture, with 786,000 employees all say they do all things to all people all the time. [00:12:53] Jay McBain: 98% of them, 99% of them are private companies that don’t share their p and l. You can’t go into Microsoft’s LinkedIn system and find out how many employees, ’cause it’s a block system, it AI can’t see into it. So it just sees, and it’s a great pattern matching. Google, SEO can’t figure out who’s who, nor today can the large language models. [00:13:14] Jay McBain: ’cause all the things they’re trying to match, the transformers are trying to match. It all looks the same. Every tweet, every ebook, every website, every digital history looks the same. So this took us thousands of people hours across two years to do, to dig into every p and l to dig into every dollar of what they’re doing. [00:13:33] Jay McBain: But what was interesting is only a thousand partners in our industry do two thirds of all tech services. When you get into enterprise, it goes up to 80 to 90%. The partners in the middle, in Blue do more tech services. The 30 of them than the 970 partners in white on the outside, the 970 partners in White do more tech services than the next million combined. [00:14:03] Jay McBain: This is our industry in a nutshell. Every time we talk to a a vendor, every time we talk to a partner, every time we talk to a distributor, we’re now talking names, faces, and places. You you wanna talk sovereignty. Yesterday in Atlanta, 90% of sovereign conversations in public sector in the globe is handled by these companies here. [00:14:26] Jay McBain: Forget about how much you do with these partners today. You wanna chase the next column, which is the wallet share. And I was a channel chief for 17 years. I get the weekly report and I see a million dollar partner, another million dollar partner, sorted top to bottom. You don’t know which partners which, which of those million dollar partners is doing 1.2 million in your category. [00:14:46] Jay McBain: They deserve a baseball cap and a front row seat at your event as an MVP. The next partner right next to them is doing 10 million in your category. They’re only doing a million with you. ’cause customers are pulling them into it. Nine times outta 10. They’re leading with your competitor. So I don’t want that list anymore. [00:15:03] Jay McBain: I want the new list, which is showing me those $9 million opportunities. And I as a board member, as A CEO, as a CFO, as a CRO, I wanna see this list. And then I want to talk people, processes, programs, technology. What are we gonna do to go get our fair share of that 9 million? Where’s our lowest hanging fruit? [00:15:24] Jay McBain: How do we double our pipeline? How do we double the size of our company in three years? It’s all right here. Let’s have very specific conversations and move away from flywheels and move around from force multipliers and and things like that in partnering. Let’s figure out how this partner community is surrounded. [00:15:45] Jay McBain: What do 10 million people who have to be smart in front of their customers every single day, what do they read? Where do they go and who do they follow? It’s the law of a few. This is the old Malcolm Gladwell of tipping point 10 million people in the broader channel. A hundred percent of our TAM comes down to only a thousand watering holes. [00:16:08] Jay McBain: 12% of that entire audience. Doesn’t sound like a lot, but it’s over A million. People love podcasts. Number one way they learn the Joe Rogan effect. In our industry, there’s 121 podcasts. These are all public lists. You can go get on my LinkedIn newsletter on canals, oia. But there’s 121 podcasts that drive him forward. [00:16:28] Jay McBain: Really high up on that list, actually number one on the list is ultimate partner, Vince. That’s how I met. ’cause I asked people, 10 million people, you love this. You walk your dog, you drive to work, you listen to podcasts. I’m not the biggest podcast fan. It’s not number one on my list, but it’s number one on theirs. [00:16:44] Jay McBain: They say, you know, you gotta meet this guy, Vince. It’s unbelievable how great these podcasts are. They’re ultimate. [00:16:54] Jay McBain: Then I talked to Vince and said, but Vince, you know, 35% of your community, the 10 million people love to come to events like this one. The hallway conversations, the hotel lobby bar last night. This is what we love to do, especially post pandemic. It’s the number one way we learn. We learn from our peers, we learn from those around us, and, and the learn from the conversations we have here. [00:17:17] Jay McBain: We always remember these moments, you know, years and years later. There’s 352 choices. I’m going to five of them this week in five different cities. It’s a lot of coverage, but again, it’s a tighter li list of how people work. The magazine lists 106 of them associations like Conter. Now the GTIA peer groups, there’s 15 different spheres of influence, but only a thousand places. [00:17:43] Jay McBain: I could walk you through billionaire, after billionaire, after billionaire in this industry and show you how they did this. How did Arne Bellini at ConnectWise? How did Austin McCord at Datto, how did Nerdio become a unicorn? How did threat locker and huntress move away from 6,500 cyber companies and become unicorns over and over and over again? [00:18:05] Jay McBain: It’s only one slide. Unicorns and billionaires are made here, and a lot of people don’t get it. So walking away from Bellevue, a thousand partners, top down, a thousand watering holes, bottoms up. You’ve covered a hundred percent of your tam. You do it better than 10% of your competitor, 10% better than your competitors. [00:18:27] Jay McBain: You win. You carry that on your resume into the next company. You get a bigger job at a bigger pay scale. Let’s just walk through some examples. Cyber 91.7% of it goes through the channel. Huge channel audience. You know, if you’re in MarTech, it’s only 10%, but this one happens to be all channel, but that’s not the story. [00:18:48] Jay McBain: For every dollar that the 6,500 cyber companies are trying to close, there’s $2 in services. Plot twist, the products are grown at 11, the services are grown at 12.6. Your partners are growing faster than you are, and they will continue to for the next, at least five years, probably 10. So when I’m here, five years from now, you’ll hear in me talk about a three to one split in cyber and then a four to one split in cyber. [00:19:18] Jay McBain: Now, when we’re in Miami a couple days ago is CrowdStrike, they’re talking about a $7 and 5 cent multiplier, chasing that two to one up higher. You look at managed services. Here’s a fun story. Managed services. 82% of customers who are man, uh, outsourcing more this year than last year. 650 billion in size. [00:19:38] Jay McBain: This is bigger than the entire SaaS industry. Salesforce, ServiceNow, Workday, Marketo, NetSuite, HubSpot, 250,000. Others. This is bigger. It’s also bigger than all the Hyperscalers combined, not just AWS, Microsoft and Google, but Alibaba and Oracle and everybody down the list. This is a massive market also growing at double digits. [00:19:59] Jay McBain: So these are some big things and obviously we’re watching, you know, week in and week out, quarter in, quarter out, the Battle of Software and Battle of the Hyperscalers and things like that, and who’s growing at what pace and, and how partnering is connecting to all of this. You know, we watched a moment really early in the pandemic where Microsoft started growing faster than AWS and they haven’t stopped since 26 straight quarters. [00:20:27] Jay McBain: And you ask customers and say, you know, does Microsoft have a better product? And in most cases they say no. You know, AWS had a five year head start. Well, did they have a better price? Well, no, actually most cases Microsoft’s more expensive. Well, did did they have better promotion? Was their Super Bowl ad better? [00:20:44] Jay McBain: No, they’re both kind of crap. So you kind of ask the questions of what’s the only difference that could create growth above the leader in the market? Well, it’s place. More of the 6.3 partners are walking into those keyboard room meetings and drawing clouds up on the wall and labeling the Microsoft than they are AWS. [00:21:03] Jay McBain: Very simple. It’s never been about product. The best product in our industry has never won. And now the best way forward is that partnering moment, and this is the moment. So to go back to that story about the 53% of companies who are gonna fail, one of us is gonna be asked to write the book. And it could be the book like Kodak, they invented the product that ended up killing them. [00:21:26] Jay McBain: And it’s a woe is me story, but chapter one is always you blame the CEO. How could they not see those trends happening in 2026? How could they, you know, were they blind? Were they stuck in their own, you know, innovation chamber? Innovator’s dilemma, were they stuck in their own boardrooms? Why couldn’t they see? [00:21:46] Jay McBain: Well, chapter two, you, you blame the board. They have fiduciary responsibility, outsider view, and how could they not see it? But really, this is the future right here. If you take this slide and apply it 10 or 20 years from now to every failure and every success, these are the chapters of the book. Your buyer is now a millennial. [00:22:05] Jay McBain: As of last year, the 51% of our market is bought by people born after 1982. Different psychology, different behavior, different journey, different criteria, their integration. First buyers. The buy a product, 80% as good as the next one. If it works better in their environment. 94% of people won’t buy a car unless it has CarPlay or Android Auto. [00:22:26] Jay McBain: New Buyer. You have to be more integrated than your competitors. That’s a partnering story. The 6.3 partners. If you heard cyber, you need some great channel partnerships, but you need the other 5.3 partners as well, the consultants, the advisors, the designers, the architects, the implementers, the integrators, the manner service, all of the other partners. [00:22:44] Jay McBain: You need to know more of them than your competitors do, and have them label clouds with your name in them. You need better alliances. Even if you compete, you only compete in the morning. You’re best friends by the afternoon. You have to be tight with the hyperscalers, tight, with the big SaaS platforms, tight with cyber, tight with distribution, there are layers, seven layers to every deal. [00:23:04] Jay McBain: You gotta be tight in and have better alliances than your competitors. And then it all comes to the 28 moments, which I’m gonna end on, but the go to market of all of this, the co-selling, co-marketing, co-innovation, co-development, co keeping. This is it. Your product has to be good enough that somebody’s gonna renew it. [00:23:21] Jay McBain: Your Super Bowl has to be, you know, ad has to be good enough that people don’t, you know, shame you on social media. Your pricing has to be somewhere in a country mile of the bell curve of what the customer wants to pay. But successor failure is just here and platforms are synonymous with partnering. [00:23:40] Jay McBain: It’s our role now in the decade of the ecosystem to drive our companies forward. Marketplace. It’s probably the most predict, you know, great prediction we ever made. You know, growing at 82% compounded, it’s hard to predict ’cause it doubles almost every year. We were almost exact to the decimal point. Five years later now till 2030, we’re watching a second story, which is more interesting. [00:24:02] Jay McBain: If 96% of all deals have partners inside of them and there’s private offers and multi-partner offers and distributor sellers record all these funding mechanisms or services as a product. As of last week, over 50% of all deals in marketplaces now have partner funding. It means that while money changes hands differently, the respect and the recognition of what partners do is in the deal. [00:24:26] Jay McBain: We think that’s going to 59, but at some point, that’s gonna have to hit 96. ’cause to run the best programs, whether it’s an indirect sale, whether it’s a direct sale, whether it’s a marketplace deal, it doesn’t matter how money changes hands. What matters is we recognize the 6.3 partners. They’re not only making the deal happen bigger and faster, but renewing and enriching that every 30 days forever. [00:24:48] Jay McBain: When we watch, you know, billion dollar clubs and when we read all the press releases and all the hubbub about how fast this is growing and who, which companies are behind all this. When I’m quoted in some of these press releases, it’s because of this. You know, CrowdStrike, you know, brags are a billion dollars in a single year, but inside of that, they’re showing that 91% growth in marketplaces, which is pretty phenomenal for any company to almost double in size every single year. [00:25:17] Jay McBain: What’s more phenomenal is they’re growing the channel piece of it, 3548%. That green part of it is growing. Companies that understand platform and have people and processes and programs and technology to do it are winning. And they’re getting recognition and partners are starting to join the Billion Dollar Club who don’t sell a product, but are also winning at Extreme Scale. [00:25:44] Jay McBain: So talk about those partner 1000 and who are leaning in to win at this level. As well as everything changes, traditional billing moved into subscription models, moved into consumption models. Now we’re being tokenized to death multi it’s, it’s in this mode of micro consumption. There’s no chance there was little chance in subscription consumption that would be resold. [00:26:09] Jay McBain: You don’t buy Netflix from the cable guy in the white van. There’s zero chance when you’re buying tokens at a buck a piece that that’s going through any indirect sale. This continues to grow. Now the tectonic shifts is what happens when money changes hands differently. These old programs that we used to all write hundreds of different boxes, we checked every day on deal reg and trainings and all the other things are changing. [00:26:35] Jay McBain: To this, you’ll get these slides, by the way, in high res, inside of this now is the customer. For the first time ever, 45 years later, we have the customer in the middle of what we do, the 28 moments in green before they buy the seven layer stack and the partners inside it. The implementation. The integration, the managed services in a cycle that never ends, and two thirds of our industry. [00:26:55] Jay McBain: With the customer in the middle, we can now move money around to the different moments. It’s not all landing in front or backend margins or market development funds or new customer bonuses or spiffs. It’s landing where it needs to land. Over 400 companies now, pretty much led by Microsoft 400 companies are in a point system right now and 400 more. [00:27:18] Jay McBain: We’re working kind of behind the scenes to get that announced in the next 12 months. This is a total changeover in terms of how economics work and partners are yelling over half of us. I don’t care. Don’t call me a VAR anymore. Don’t call me an MSP. Don’t call me a regional system integrator. I do the consulting over half the time. [00:27:36] Jay McBain: I do the design, I do the implementations, I do the managed services, and 44% of us are vibe coding. On weekends. We’re not happy. Just on the services side. We wanna join the seven layer tech stack as well. These are partners growing faster than their vendors by understanding this cycle and where to show up and where the money is in ai. [00:27:56] Jay McBain: And the number one thing they’re asking for is not more leads, which they did for 45 years. The number one thing is now recognized for what I do. I’ve never just been a cash register. We’re completely now past this idea of a channel being a channel of distribution, and now a channel being this platform for the future. [00:28:16] Jay McBain: As we lay that on top of ai, the first couple of years of AI has really been consumer driven. The 95% failure rate that MIT reported last year is now 70%. That’s the failure to get from proof of concept to production. That 70 will be 50 by the summer we’re moving now in business, the maturity rates are going up at the end customer and in 88% of cases, that’s because of the channel. [00:28:43] Jay McBain: They’re working with partners. They’re not vibe coding themselves and working in little skunkwork groups. They’re working with partners to make it happen, and it now becomes the partner’s number one growth opportunity. I can grow at 11 or 12% in cyber every year. Compounded I can grow in 10% in managed services. [00:29:03] Jay McBain: You know, those are great double digit growth ’cause my customers are growing at 2.7% and I can go four x my customer, but I can go 10 x my customer if I have the right services built around ai. And this compounded growth rate and that big number in 2 20 32, 267 is what’s got those top 1000 partners obsessed. [00:29:25] Jay McBain: And your companies are leading with ai. Now you need to connect to those AI services. You need to get partners on this scale of growth. And they will be adding your name inside every cloud. They write on every whiteboard, but 82% of partners around the world, you know, we survey 25,000 of them aren’t ready, and they’re blaming vendors for not being ready, and they’re telling them exactly the workshops and the training that they need to get ready for this cycle. [00:29:53] Jay McBain: 82% of our entire partner, tens of millions of people, aren’t ready to grow at 35% and they need our help. Last thing I’ll say about AI is it’s the first time from client server to cloud, edge to cloud that it’s been segment driven. SMB alone has one, you know, six different segments, one to nine, 10 to 24, 25 to 49, et cetera. [00:30:18] Jay McBain: Mid-market into enterprise. No one that runs a restaurant is calling Jensen to buy a GPU to put next to the stove. No one’s calling Sam or Dario or anyone at Anthropic or OpenAI directly. They’re waiting. If you run a restaurant with all the people running around with tablets, you’ve invested in toast or square or clover or one of the platforms to run your business. [00:30:41] Jay McBain: A hundred different things. And you’re gonna wait for toast to work with a hyperscaler and build out the capabilities genetically. So when they see a spike in Uber Eats orders, they automatically place a food order and automatically change the staffing to deliver on it. That’s what the restaurant’s waiting for, and there’s no one calling and having a big a agent conversation. [00:31:03] Jay McBain: But even if you go into hundreds of people in medium sized business, every one of the vice presidents have their tech stack already built. I talked about the marketing person already, but the HR leader has one, and everybody’s got their seven layer stack. They’re not calling to buy a GPU and they’re not calling to, you know, bring in open AI directly or, or anthropic. [00:31:22] Jay McBain: They’re waiting for the platform they built to integrate together ag agenta capabilities. Everybody’s in wait mode up until enterprise and public, large public sector. So we are looking at this market and at 90% of that AI market is run by those thousand companies, and the rest of the millions of partners are helping in terms of how these businesses are gonna change at that level. [00:31:46] Jay McBain: Here’s where I end. You know, the 28 moments used to be a theory. It used to be a flywheel. How do we buy a car? [00:31:55] Vince Menzione: Well, we Google it, [00:31:57] Jay McBain: 81% of us now, 94% of us use large language models. We find out that there’s 365 brands of car. I’d have to test drive one every day of the year to get through them all. So we start narrowing these things down. [00:32:09] Jay McBain: We configure it. We put our rims on it, we color it. We download the invoice price. We download the backend rebates this month, whether I buy it in May or June, we find out what 5,000 people paid for our exact car within 50 miles of us. And then we don’t wanna go to the dealer because we know more than the salesperson, the manager ever will. [00:32:26] Jay McBain: We know what we’re gonna pay within, you know, dollars or cents. Just carvana the car. Hand me the keys. Let’s just forget the whole eight hour back and forth. I’ll get you a deal thing. I’m smarter than you in technology. Our customers are smarter than us, smarter than salespeople. That’s why 75% of millennials don’t wanna talk to a salesperson. [00:32:48] Jay McBain: They want to end digitally, and by the way, they’re not gonna send a fax after 28 digital moments. They’re gonna end on a digital marketplace. This is all demographics. It’s not hard to see where it’s going, but we’re getting into names, faces, places again. What if every dollar of your tam, the board, the CEO, runs around with their big multi-billion dollar number, they’re chasing? [00:33:09] Jay McBain: What if every single deal looks the exact same? This is a deal with AstraZeneca, A real deal, real customer spending millions of dollars. We know it starts in October, it ends in April. It’s a six month cycle. We see what they read, the MQ ls at the beginning. We see the sales demo moments. We see ISV, but we’ve never had the light blue boxes. [00:33:30] Jay McBain: What if we as a team could overlay the 6.3 partners in this deal? And when you find out a couple things. Here’s where I end. In December, five deals were one, three of them by NTT. The person at NTT probably coaches AstraZeneca’s, you know, kids’ soccer team. They probably have a cottage together at the lake. [00:33:50] Jay McBain: For the last 20 years, if the person at NTT worked at Deloitte, Deloitte would’ve run this deal. But Software One and Yash are both there, so we understand that when they were drawing clouds up on the wall in the boardroom in December, this deal was won and lost there. It was not won and lost at the point of sale. [00:34:09] Jay McBain: So what if you knew more about this and could see every dollar in your tam? You had an early warning system that this was happening. Two things jump out at this now that we’re in Bellevue. AWS was touched twice in this deal, directly in the marketing cycle and the sales cycle. AWS lost this deal. Here’s an example of Microsoft winning a deal with Microsoft never being touched. [00:34:34] Jay McBain: For some reason, NTT who won, who won AWS’s partner of the year a couple years ago led with Microsoft, so did Software one, Microsoft’s biggest reseller in Europe, and as did Yash, they all led with Microsoft and without Microsoft, knowing Microsoft took a multimillion dollar deal away from their competitors by winning in December. [00:34:53] Jay McBain: That’s one. Second. These partners didn’t just show up other than soccer and cottages. They didn’t show up in December. It went closed one in their CRM system. Back in the summer, August, September, we already knew AstraZeneca was in market, spending millions of dollars. We didn’t need them to read an ebook or go to an event to find that out. [00:35:17] Jay McBain: We knew it because it was closed one. They’re spending hundreds of thousands of dollars times five in December to know what to do at the end. This is an early warning system that’s better than any MQL, better than any SQL. And if you could give your company these level of view into their pipeline with an early warning system that I can work with those partners for months before they ever show up at the customer’s boardroom. [00:35:44] Jay McBain: This is it. Talk about 47% winners. This takes you from not only surviving the AI era to being a top five platform winner. Thank you very much. [00:36:01] Vince Menzione: Until next time, we’ll see you in person. Hopefully at our next event.

In dieser Episode spricht Erik Siekmann mit einem der einflussreichsten Pioniere der deutschen Digitalszene: Matthias “Mattes” Schrader. Seit über 20 Jahren prägt Mattes als Gründer von SinnerSchrader, ehemaliger Managing Director von Accenture Song und nun mit seinem neuen Abenteuer OH-SO die Branche. Mattes erklärt, warum wir uns aktuell im „Day One“ des KI-Zeitalters befinden und warum der „Code Crash“ – das Verschwinden des Flaschenhalses in der Softwareentwicklung – die Spielregeln für Agenturen und Konzerne radikal verändert. Wir tauchen tief ein in das Thema Generative Engine Optimization (GEO) und erfahren, wie synthetische Marktforschung via „Radar“ unentdeckte Wachstumspotenziale in globalen Märkten sichtbar macht. Außerdem berichtet Mattes von seinen faszinierenden Eindrücken einer China-Reise, wo „Open-Claw-Installationspartys“ vor den Toren von Tencent die enorme Geschwindigkeit der dortigen Innovation symbolisieren. Über Mattes Schrader: Mattes Schrader ist Gründer und CEO bei OH-SO und gilt als einer der profiliertesten Strategen für digitale Transformation in Europa. In den 90ern gründete er die Digitalagentur SinnerSchrader, führte sie an den Neuen Markt und baute sie zu einem der Marktführer aus, bevor er sie 2017 an Accenture verkaufte. Dort leitete er sechs Jahre lang das Digitalgeschäft in der DACH-Region. Heute widmet er sich mit OH-SO der Renaissance der Digitalagentur im KI-Zeitalter und experimentiert mit seinem Projekt „Synthszr“ an der Spitze der multimodalen Content-Erstellung. Er ist Autor des Buches „The Interplay“ und ein gefragter Vordenker für die Verzahnung von Technologie, Innovation und Marketing. Hier geht es zum Synthszr Podcast & Newsletter von Mattes Schrader: https://www.synthszr.com/de Hier geht es zum Connected Commerce Guide von Front Row: https://www.connected-commerce.com Der Marketing Transformation Podcast wird produziert von TLDR Studios: https://www.tldrstudios.com

Founder of Upshift, Shawn Yeager, joined me on Ditching Hourly to talk about how AI is killing the billable hour and what professional services firms can do about it. Jonathan and Shawn dig into judgment versus execution, what firms should commercialize after AI, why cost-cutting is only the first move, and how agent workflows change what small and midsize firms can do.00:00 - Introduction01:54 - AI and the billable hour03:56 - The judgment sandwich05:19 - Strategy, execution, and hidden value09:06 - Client conversations about AI pressure13:26 - Validating AI output15:29 - Judgment, marketing, and cost of being wrong17:07 - AI transformation and commercialization20:08 - The hard parts big firms still need humans for22:20 - Cost recovery versus new offerings25:35 - Agents as extra employees26:40 - Interns versus chiefs of staff28:44 - Scaffolding agent workflows30:12 - From chatbots to delegated workflows37:00 - AI adoption inside firms42:01 - Closing remarksShawn Yeager runs Upshift, a firm focused on helping professional services firms understand what they sell after AI. His career has focused on emerging technology and getting it to market, including work on Microsoft's first browser team, the SaaS/cloud wave, mobile, Bitcoin, and AI. His background is in computer science, and his work has included sales, marketing, partnerships, consulting, Accenture, early-stage startups, and his own ventures. Learn more at upshiftco.com. (00:00) - Introduction (01:54) - AI and the billable hour (03:56) - The judgment sandwich (05:19) - Strategy, execution, and hidden value (09:06) - Client conversations about AI pressure (13:26) - Validating AI output (15:29) - Judgment, marketing, and cost of being wrong (17:07) - AI transformation and commercialization (20:08) - The hard parts big firms still need humans for (22:20) - Cost recovery versus new offerings (25:35) - Agents as extra employees (26:40) - Interns versus chiefs of staff (28:44) - Scaffolding agent workflows (30:12) - From chatbots to delegated workflows (37:00) - AI adoption inside firms (42:01) - Closing remarks ----Do you have questions about how to improve your business? Things like:Value pricing your work instead of billing for your time?Positioning yourself as the go-to person in your space?Productizing your services so you never have to have another awkward sales call or spend hours writing another custom proposal?Book a one-on-one coaching call with me and get answers to these questions and others in the time it takes to get ready for work in the morning.Best of all, you're covered by my 100% satisfaction guarantee. If at the end of the call, you don't feel like it was worth it, just say the word, and I'll refund your purchase in full.To book your one-on-one coaching call, go to: https://jonathanstark.com/callI hope to see you there!

We read the internet so you don't have to. There Are No Girls on the Internet is a weekly podcast and newsletter hosted by Bridget Todd covering the tech, internet, and culture stories that deserve more attention — especially when they're about AI, power, gender, race, and who actually gets hurt when systems fail. This week: Meta's AI chatbot helped hackers steal Instagram accounts, a debate over who owns the phrase "Hot Girls Read," new AI legislation, and more.

Artificial intelligence continues to dominate supply chain conversations, but why are so many organizations struggling to move beyond pilots and into enterprise-wide success? In this episode of The Buzz powered by APL Logistics, Scott Luton and Alex Pradhan explore the latest research and developments shaping the future of supply chain leadership, AI adoption, omnichannel fulfillment, workforce transformation, and decision intelligence. Special guest Arash Aghlara, Founder and CEO of FlexRule, joins the discussion to share why better decisions—not just better data—may be the key to unlocking supply chain performance. From AI pilot purgatory and omnichannel profitability to talent shortages and protein supply disruptions, this episode tackles some of the most pressing challenges facing supply chain leaders today. Scott, Alex, and Arash dive into new research from leading organizations including MIT, Accenture, GEP, and the University of Virginia Darden School of Business. Along the way, they explore the growing importance of governance, the role of decision intelligence in modern operations, and why organizations must move beyond visibility alone to create smarter, faster, and more effective business outcomes.   Key Takeaways: Why nearly three-quarters of organizations have yet to move AI initiatives beyond planning and pilot stages. How decision intelligence helps organizations bridge the gap between data, visibility, and action. Key findings from MIT's latest State of Supply Chain Omnichannel research. Why supply chain leaders must rethink workforce development amid a projected talent shortage. The critical role governance plays in scaling AI and improving operational decision-making. How organizations can identify and manage interconnected decisions across planning, logistics, inventory, and customer service. Why practical execution—not hype—is essential for successful digital transformation.   If you're navigating AI adoption, digital transformation, talent challenges, or increasing supply chain complexity, this episode delivers practical insights and actionable strategies from experienced industry leaders. You'll walk away with a deeper understanding of how decision intelligence can help organizations move beyond visibility, improve execution, and build more resilient supply chains in an increasingly complex business environment.   Additional Links & Resources: APL Logistics: https://www.apllogistics.com/ With That Said: https://bit.ly/WTS-31-May-2026 5 Signs Your Supply Chain Has Outgrown How It's Managed Today: https://bit.ly/5-signs-your-SC-has-outgrown-mgmt Supply Chain AI Is Stuck in Pilot Purgatory Because the Operating Model Is Missing: https://bit.ly/4u4dPyj GEP Webinar: https://bit.ly/10-June-2026-Webinar State of Supply Chain Omnichannel Report: https://bit.ly/3RUcHju Turning the supply chain talent shortage into strength: https://accntu.re/4vkqNZQ Protein powder shortage threatens America's biggest food craze: https://bit.ly/3RIkrFd Upcoming Live Programming:  https://supplychainnow.com/upcoming-live-programming/ Supply Chain Now Resource Hub: https://supplychainnow.com/resource-hub/ FlexRule: https://www.flexrule.com/ The Supply Chain Whisperer on Why Practicality Still Wins: https://bit.ly/Why-Practicality-Still-Matters Connect with Arash on LinkedIn: https://www.linkedin.com/in/arashaghlara/ Connect with Alex on LinkedIn: https://www.linkedin.com/in/alejandrapradhan/ Watch and listen to more Supply Chain Now episodes: https://supplychainnow.com/brands/supply-chain-now/ Subscribe to Supply Chain Now: https://linktr.ee/Supplychainnow Check out the Supply Chain Now Resource Hub: https://supplychainnow.com/resource-hub/ Work with Us! Download the Supply Chain Now 2026 Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- From AI Pilots to Performance: How Supply Chain Leaders Are Scaling Agentic AI: https://bit.ly/49hCqIq WEBINAR- Amazon Supply Chain 101: Enabling efficiency and growth for businesses everywhere–and everywhere they sell: https://bit.ly/49r8N7D WEBINAR- The Expanding Role of Supply Chain Optimization Teams in Driving Business Impact: https://bit.ly/3PHRAAf WEBINAR- AI that moves at velocity: Cut through latency with agentic workflows: https://bit.ly/4x4626t For everything else, start here: https://supplychainnow.com This episode was hosted by Scott Luton and Alex Pradhan, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychiannow.com/buzz-how-decision-intelligence-transform-supply-chain-performance-1592 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this inspiring episode of Quietly Visible, host Carol Stewart is joined by Shelley-Ann Pieterse, Executive Alignment Coach and former Managing Director at Accenture, to explore what happens when ambition, perfectionism, and the need for validation collide with authenticity and wellbeing.Drawing on her own experience of navigating leadership as an introverted woman from a previously disadvantaged background, Shelley-Ann shares the challenges of trying to fit into environments where she felt different—and the personal cost of constantly striving to prove herself.Together, Carol and Shelley-Ann discuss the pressures many high-achieving women place on themselves, the impact of burnout, and why sustainable success starts with self-awareness and alignment. Shelley-Ann candidly reflects on her journey through multiple episodes of burnout, the loss of her partner, and the powerful realisation that success means little when it comes at the expense of your health, values, and happiness.

Join this episode of DM Radio as host Eric Kavanagh speaks with Kamila Zahradnickova of Lakmoos and Tim Lidman of Clyde about two distinct but transformative applications of AI. Learn how Lakmoos uses mathematical simulation models and AI-powered digital twins to help organizations test products, campaigns, and business decisions before launching them in the real world. Next, learn lessons from building and selling ThinkTank to Accenture and why SaaS is evolving - not disappearing - as AI-native applications reshape software design and user experiences.  Explore how AI is changing everything from market research and customer insights to enterprise workflows and software development.

In this episode of Logistics With Purpose®, presented by Vector Global Logistics in partnership with Supply Chain Now, hosts Enrique Alvarez and Kristi Porter sit down with Benjamin Reich and Ronny Horvath from Accenture for a powerful conversation about the future of supply chain, AI, resilience, and human-centered leadership.From AI-driven logistics and supply chain orchestration to trust, culture, and meaningful workplace relationships, this episode explores what it really takes to build resilient supply chains in a rapidly changing world. Benjamin and Ronny share practical insights on how organizations can adopt AI without waiting for “perfect” data, why curiosity and adaptability matter more than ever, and how companies can balance automation with humanity.You'll also hear personal stories about their journeys from Germany to leading global transformation initiatives across the U.S., lessons learned from companies like Porsche and IBM, and why the future of logistics depends just as much on people and trust as it does on technology.Whether you're a supply chain leader, technology enthusiast, logistics professional, or someone curious about how AI is reshaping business, this conversation delivers practical takeaways, leadership wisdom, and an inspiring look at the future of work.Additional Links & Resources:Connect with Ronny: https://www.linkedin.com/in/ronhorvath/Connect with Benjamin: https://www.linkedin.com/in/bereich/Learn more about Accenture: https://www.accenture.com/us-enGötz Wolfgang Werner: https://en.wikipedia.org/wiki/G%C3%B6tz_WernerLearn more about Logistics with Purpose®: https://supplychainnow.com/program/logistics-with-purposeLearn more about Vector Global Logistics: https://vectorgl.com/Subscribe to Logistics with Purpose: https://logistics-with-purpose.captivate.fm/listenThis episode was hosted by Enrique Alvarez and Kristi Porter. For additional information, please visit our dedicated show page at: https:/supplychainnow.com/how-ai-adaptability-reshaping-resilient-supply-chains-accenture-lwp157

In this episode I'm joined by Robert Newry, Founder & CEO of the assessment company Arctic Shores and long time champion of doing assessment right! Robert and I (and my AI co-host Mayda Tokens!) dig into one of the most urgent problems in hiring right now: the complete breakdown of traditional hiring signals.We ponder the question- “How do we find the truth in an age where AI has flooded the top of the funnel, made credentials and resumes unreliable, and put enormous pressure on organizations to find new ways to identify talent?”And we come up with some pretty good answers!1. The Top of the Funnel Is in ChaosThe numbers are staggering. Accenture's global resourcing lead told Robert they're on pace for 12 million applications this year for roughly 100,000 hires — up from 4 million just three years ago. Same size team. Two and a half times the volume. The culprit isn't a surge in qualified candidates; it's AI-powered application tools that let candidates apply to jobs while they sleep. The moral contract between candidates and employers has been broken: candidates assume companies are using AI to screen, so they're using AI to apply.“It's chaos out there. Candidates are using AI to fight AI — and we're in a no-win scenario.”2. Traditional Assessment Is Increasingly GameableArctic Shores' research from 18 months ago showed what most people didn't want to admit: AI can ace virtually any traditional assessment format — personality tests, cognitive reasoning, multiple choice — with ease. And it's not just about having a second screen open. Candidates can now point a phone at their screen, have the AI read the item, and get the answer instantly. Proctoring doesn't solve this. The old protection mechanisms are obsolete.3. The Answer Is Better Signal, Not More AIThe solution isn't to ban AI from the process — it's to design assessments that AI can't easily game because they're rooted in authentic behavior. Robert's framework: if AI is being used to evaluate signals, those signals have to be grounded in high-fidelity behavioral data — not scraped from job descriptions, not inferred from keyword matching, not built on garbage in. Job descriptions themselves are often the first failure point, and no amount of downstream AI sophistication fixes a weak foundation.4. Stop Counting Leaves — Look at the RootsRobert's tree analogy is one of the sharpest frameworks in this episode. For decades, hiring has been obsessed with leaves — the skills on a resume, the credentials on a LinkedIn profile. But with the average shelf life of a skill now estimated at two and a half years, leaves are increasingly unreliable. What matters is the root system: the durable human capabilities that allow someone to grow new skills, adapt to changing roles, and thrive in uncertainty.5. Skills-Based Hiring Needs a Clearer Definition of “Skill”Both Robert and I agree: the skills-based hiring movement is directionally right, but conceptually messy. Calling “innovation” or “persistence” a skill conflates what can be learned with what is innate. Durable traits — personality, cognitive style, learning orientation — don't expire the way technical skills do. Measurement strategy has to account for these differences, or skills-based hiring just becomes the next echo chamber.Final TakeawayThe hiring signal crisis is real — and it's accelerating. AI has made it trivially easy to fake credentials, game traditional assessments, and flood the funnel with noise. The organizations that receive the best signal won't be the ones that deploy the most AI. They'll be the ones that invest in the right signal: behavior-based, validated, and rooted in the durable human traits that no machine can fake.*Claude.ai assisted with the creation of these show notes This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com

What does it really take to move from survival mode into a life of confidence, purpose, and personal ownership? In this episode of Daily Influence, Gregg-Brooke Koleno sits down with Arti Agarwal, full-time Product Manager at Accenture and founder of Empowering Minds, Transforming Souls. Arti shares her deeply personal journey from growing up in a traditional Indian middle-class family and losing her father at 17, to becoming a mindset coach helping others overcome scarcity thinking, self-doubt, and victim mentality. Together, they explore how mindset shapes our reality, why many people unknowingly operate from “victim energy,” and practical ways to reclaim ownership of your life. Arti also shares simple but powerful habits—including gratitude, self-talk, discipline, and acceptance—that can help anyone shift toward a more abundant and empowered mindset. If you've ever felt stuck, overwhelmed, or trapped in survival mode, this conversation offers relatable wisdom and actionable insights to help you take your next step forward. In This Episode: • How childhood experiences and financial pressure can create scarcity thinking • Signs you may be operating in “victim energy” without realizing it • Why taking responsibility for your emotions changes everything • The role of gratitude, discipline, and positive self-talk in personal growth • How acceptance becomes the first step toward transformation • Why becoming your own cheerleader matters more than outside validation Memorable Takeaway: “Unless and until we are able to accept totally what is happening with us, we cannot truly change it.” – Arti Agarwal Tune in for a meaningful conversation about mindset, resilience, emotional responsibility, and creating a life aligned with who you truly are. Connect with Arti: artiashokagarwal10@gmail.com https://www.linkedin.com/in/artiagarwalba/

In this exclusive Manufacturing Talk Radio interview, host Lewis Weiss sits down with ISM Services PMI Chair Steve Miller to discuss the pivotal May ISM Services Report the very day it is released June 3rd 2026, breaking down the key data points impacting the services economy. To shed light on the report's crucial findings, we speak with Steve Miller, a preeminent authority within the services sector. Miller is currently serving as ISM Services PMI Chair and is an accomplished supply chain management executive. His distinguished career includes 40 years of experience in procurement, supply chain management, IT implementation and operations, and operations management consulting at Disney, P.F. Chang's, Accenture, and Kearney. With 40 years of experience in procurement, supply chain management, IT implementation and operations, Miller offers unparalleled insight into services trends and economic activity. Check out data discussed in this episode here: https://www.ismworld.org/globalassets/pub/research-and-surveys/rob/nmi/fuelrob202605svcs.pdf Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when organizations become so focused on speed, efficiency, and AI that they slowly lose sight of people? In this thought-provoking conversation, Dr. Kelly Monahan shares insights from her years studying the future of work inside organizations like Deloitte, Accenture, Meta, and Upwork. Drawing from her upcoming book, Reclaim the Plot, Kelly explains how leaders and organizations gradually “drift” away from the human purpose of work, often without realizing it. We explore the pressures leaders face today, including complexity, investor expectations, technological disruption, burnout, and the temptation to prioritize performance over people. Kelly also shares a deeply personal story about recognizing her own leadership drift during the pandemic and the intentional steps she took to reconnect with her team. This conversation offers both a warning and a hopeful vision for leaders who want to strengthen human judgment, curiosity, wisdom, and principled leadership in an AI-driven world. You'll discover:Why leadership drift happens slowly and invisibly inside organizationsHow pressure, complexity, and exhaustion can cause leaders to lose empathy and perspectiveThe difference between using AI to augment people versus replace themPractical ways leaders can rebuild trust, psychological safety, and human connectionWhy curiosity and feedback are essential for avoiding leadership driftConnect with Kelly Monahan on Social MediaLinkedInInstagramWebsites Dr. Kelly Monahan Beyond the Desk BookReclaim the Plot – (release date September 2026)Check out all the episodesLeave a review on Apple PodcastsConnect with Meredith on LinkedIn

Sig Muller is an author, motivational speaker, consultant, and founder. He was on the swimming team at Northwestern University in Illinois, where he earned his Bachelor's Degree in Industrial Engineering; following, he received his MBA from the Tuck School of Business at Darmouth in New Hampshire. His career includes leadership roles at Accenture, Ben & Jerry's, Mayo Clinic, UnitedHealth Group General Mills, and multiple startups. In 2024, he survived a sudden cardiac arrest that reshaped his mission, which led him to write and publish "Dying to Be the World's Best" in 2025. Sig makes his home in Minneapolis, Minnesota. 

Rori DuBoff once took an unused office at Accenture, tore it down, and built a virtual reality studio from scratch with no formal approval and that's how she got the firm into the metaverse. She didn't wait for the green light. She brought in a few people who were equally excited, and delivered.She's spent decades in digital innovation and marketing, watching organisations say they wanted disruption and then treat the people delivering it as the problem.That's made her conclude that 80% of innovation is change management. Rori explains how most of us obsess over the idea while it is actually the smallest part of the problem. The larger part is whether the people around you feel safe enough to hear it.She acted before consensus throughout her whole career, took the heat for it, and now she is sharing the blueprint.Links to learn more about Rori Duboff:LinkedInWebsiteAll Things TrustSubstackAny thoughts? Share them with us!Support the show✨✨✨If you miss the "workshops work" podcast, join us on Substack, where Myriam builds a Podcast Club with monthly gatherings around old episodes: https://myriamhadnes.substack.com/

On this episode of What Are You Good At (a THINK Business & Sales series)… Jeff Gunsberg and I sat down with Henry King, author of Autonomous: Why the Fittest Businesses Embrace AI for Strategies and Digital Labor, for one of the most eye-opening AI conversations we've had on the show. Henry has spent years inside Accenture, Salesforce, and the consulting world — giving him a rare lens on how fast business is changing and what leaders must prepare for next. We talked about: Why the last 3–6 months of AI adoption have moved faster than the last few years. Why most people are still using ChatGPT like Google, and what that's costing them. Why the companies that win will be the ones bold enough to rethink everything: org charts, workflows, roles, and the relationship between humans and machines. And Henry breaks down exactly why we're about to see AI as digital colleagues, not just productivity tools. Top 3 Takeaways 1. Generative AI is not the finish line, it's the warm-up. The real disruption is agentic AI that performs work, makes decisions, and becomes part of the workforce. 2. The human advantage is shifting. We win with curiosity, imagination, empathy, and better questions, not effort or years of experience. 3. Leaders must design for movement, not stability. The dust isn't settling. The organizations that thrive will be the ones built for flexibility, experimentation, and constant reinvention. --- Henry King Innovation Strategist and Advisor | Co-author of best-selling books BOUNDLESS and AUTONOMOUS | ex-Salesforce, Deloitte Consulting, Accenture Leader in Innovation, Transformation and Technology. 30+ years experience helping companies meet their growth and transformation goals, both in the US and internationally, with expertise in i) Innovation Strategy and Management, ii) Digital Transformation, iii) Information Technology Leadership, Strategy, and Full Lifecycle Management iv)Thought Leadership, Writing and Teaching Co-author of the best selling book ""Boundless: A New Mindset for Unlimited Business Success"". Co-author of the upcoming book ""Autonomous: Why the Fittest Businesses Embrace AI-First Strategies and Digital Labor"". Specialties: Innovation Strategy, digital Transformation, Concept Development and Implementation, Customer Experience Optimization and Innovation, Capabilities Development, Organizing for Innovation, Innovation Management, Chief Information Officer, IT Strategy, Systems Development Connect with Jon Dwoskin: Twitter: @jdwoskin Facebook: https://www.facebook.com/jonathan.dwoskin Instagram: https://www.instagram.com/thejondwoskinexperience Website: https://jondwoskin.comLinkedIn: https://www.linkedin.com/in/jondwoskin Email: jon@jondwoskin.com Get Jon's Book: The Think Big Movement: Grow your business big. Very Big! Connect with Jeff Gunsberg:Website: https://title-connect.com Connect with Henry King:LinkedIn: https://www.linkedin.com/in/henry-king-88ba109/ *E - explicit language may be used in this podcast.  

Michelle spoke with Lori Stephenson, a career coach and leadership developer, about how to navigate life's transitions with curiosity and courage. Drawing on her own career pivot and years of coaching experience, Lori shared practical tools for self-reflection, reframing fear, and taking meaningful action toward change. About Lori Founder of My Big Sky — supports students, mid-career professionals, and those approaching retirement Background in leadership development, career coaching, and career transition Former communications and talent development professional at Accenture Coaches individuals on self-awareness, career direction, and how to lead others Key Themes Knowing Yourself Before Making a Move Lori encouraged people to dig into three core areas before pursuing change: Interests — what keeps showing up that you genuinely enjoy? Capabilities — what are you actually good at, separate from what you like? Environment — where do you thrive? Who do you need around you? Do you prefer collaboration or independence? Self-Reflection Questions to Get Started What were my peak moments over the last 10–15 years — what was I doing, who was I with? What energizes me? What do I dread? What do people continually thank me or recognize me for? How do I want to contribute? What am I putting off or waiting for — and do I really have to wait? Practical Tools Do a peaks and valleys exercise across your career Write everything down — get it out of your head and onto paper Use AI or psychometric tools to help spot patterns you might miss Look for non-negotiables — things you will never compromise on again Pick one small action, give it a deadline, and find someone to hold you accountable On Fear and Discomfort Lori referenced the work of Susan David (Emotional Agility): "Discomfort is the price of admission to a meaningful life." Fear is often a signal to pause and consider — not a reason to stop Challenge the stories you tell yourself about why change is impossible Be selective about whose input you take in — limiting perspectives often come from other people's fears, not yours Moving from Thinking to Action Stop waiting to have it all figured out Go from big thinking → distilled insights → one concrete step Connect with people in person — buy someone a coffee, ask questions, get out of your own world Ask yourself: If time, money, and approval weren't factors, what would I be doing? Lori's Personal Story After 10 years at Accenture, Lori felt misaligned and burned out. She proactively put herself on a restructuring list, took 12–18 months to recover and reflect, and used that time to discover her passion for career coaching. She describes it as one of her proudest decisions — and proof that you don't need to have the full plan before you take the first step. Resources ☀️ My Big Sky: https://www.mybigsky.ca/

L'intelligence artificielle transforme en profondeur l'économie du conseil. Automatisation des analyses, baisse des coûts, réduction des équipes, les grands cabinets comme McKinsey & Company, Boston Consulting Group ou Accenture font face à une remise en question historique de leur modèle économique. Une révolution qui touche particulièrement les jeunes consultants et oblige le secteur à se réinventer. L'intelligence artificielle inquiète de plus en plus les grands cabinets de conseil dans le monde. OpenAI et Anthropic ont récemment annoncé le lancement de structures spécialisées dans le déploiement de leurs technologies directement auprès des entreprises. Une évolution qui pourrait profondément modifier l'équilibre du secteur du consulting. Traditionnellement, lorsqu'une entreprise souhaite restructurer son organisation, lancer une transformation ou revoir sa stratégie, elle fait appel à des consultants. Ces derniers réalisent alors des études de marché, des analyses financières, des audits concurrentiels ou encore des présentations stratégiques destinées aux directions générales. Un travail souvent long, coûteux et mobilisant parfois plusieurs dizaines de consultants pendant plusieurs semaines. Mais l'arrivée de l'IA générative bouleverse complètement cette mécanique. Désormais, certains modèles d'intelligence artificielle sont capables d'exécuter une partie de ces tâches en quelques minutes seulement : résumer des centaines de documents, produire des analyses sectorielles, créer des présentations ou générer des diagnostics préliminaires. À lire aussiAvec l'essor de l'intelligence artificielle, faut-il craindre une vague massive de licenciements? Des cabinets plus productifs mais moins dépendants des consultants juniors Cette transformation améliore fortement la productivité des cabinets de conseil. Chez McKinsey & Company, certaines équipes auraient vu leur taille réduite grâce à l'automatisation de nombreuses tâches analytiques. Le cabinet développe également des milliers d'agents IA internes afin d'assister ses consultants. Officiellement, les grands groupes du conseil ne parlent pas de suppressions massives d'emplois. Mais tous reconnaissent une forte hausse de la productivité. Et lorsqu'un secteur de services devient soudainement beaucoup plus efficace grâce à la technologie, une question finit forcément par émerger : aura-t-on encore besoin d'autant de salariés ? Les premiers concernés sont les jeunes diplômés. Historiquement, les consultants juniors étaient chargés des tâches de recherche, d'analyse et de préparation des supports stratégiques. Des missions qui servaient aussi de formation avant de monter progressivement en compétences. Or précisément, ce sont ces tâches de base que l'intelligence artificielle automatise aujourd'hui le plus rapidement. Le secteur fait donc face à un paradoxe majeur. Si l'IA réalise désormais les missions d'apprentissage des jeunes consultants, comment ces derniers pourront-ils acquérir l'expérience nécessaire pour devenir les experts de demain ? Pour l'instant, les cabinets peinent à apporter une réponse claire à cette question. À lire aussiIA et recrutement: pourquoi les entreprises changent leurs critères d'embauche Le conseil ne disparaît pas : il change de valeur Au-delà de l'emploi, c'est surtout le modèle économique du conseil qui évolue. De plus en plus d'entreprises commencent à utiliser directement les outils d'intelligence artificielle en interne pour produire des analyses ou des diagnostics auparavant confiés à des cabinets spécialisés. Dans un contexte où les entreprises cherchent à réduire leurs dépenses, beaucoup de dirigeants s'interrogent désormais : pourquoi payer plusieurs centaines de milliers d'euros une mission de conseil si une partie du travail peut être automatisée ? Pour les cabinets, tout l'enjeu consiste désormais à démontrer que leur valeur ne repose pas uniquement sur la production d'analyses. Car si l'IA progresse très rapidement, elle ne sait toujours pas gérer certains aspects fondamentaux de la vie des entreprises : arbitrer entre des intérêts divergents, piloter des transformations complexes, convaincre des équipes réticentes ou gérer les rapports humains et hiérarchiques. C'est précisément sur cette dimension humaine que les cabinets veulent aujourd'hui se repositionner. L'intelligence artificielle rend l'information largement accessible et peu coûteuse. En revanche, la rareté économique se déplace vers d'autres compétences : le jugement humain, la capacité à gérer la complexité, la confiance ou encore l'accompagnement stratégique des organisations. La question n'est donc peut-être plus de savoir si les consultants seront remplacés par les machines, mais plutôt quels consultants sauront travailler efficacement avec elles.

Ep. 207 - What does it take to navigate the massive, ever-changing landscape of the gaming industry? In this episode of In Studio, Kimberly sits down with Isaac Sundsted, Director of Gaming Strategy and Partnerships at Samsung, to break down the future of entertainment, cloud gaming, and the impact of AI on game development. Isaac shares his fascinating "scenic route" into the tech world—starting as a professional sign language interpreter, moving into elite management consulting at Accenture, launching cloud initiatives at Xbox, and now shaping the future of Connected TV (CTV) gaming at Samsung. They dive deep into the highly anticipated launch of Grand Theft Auto VI (GTA 6), why mobile gaming dominates the revenue charts, and a brilliant psychological networking trick inspired by Benjamin Franklin. Plus, Isaac gives his raw, realistic take on how AI is actually shifting the workflow for modern gaming studios. Whether you're a hardcore gamer, a tech enthusiast, or looking for masterclass career advice on embracing ambiguity, this episode is packed with nerdy greatness. Chapter Timestamps 00:00 - Introduction: Grand Theft Auto VI & Mobile Gaming Dominance 00:30 - Welcome Isaac: From Seattle Gray to Marina del Rey 01:10 - Management Consultant Relics: The Story of the Black Accenture Business Card 02:00 - Isaac's Scenic Route: 8 Years as a Sign Language Interpreter 03:40 - The Core Thread: Connecting People & Breaking Barriers 04:50 - Embracing Ambiguity & Finding Meaning in Business 06:10 - Making the Leap to Xbox & Campus Culture 07:30 - Navigating Cloud Gaming & Personal Investment in the Industry 08:35 - How Big is Gaming? The Massive Launch of GTA VI 10:15 - The Psychology of Gaming: Benjamin Franklin's Favor Tactic & Skinner Boxes 12:50 - Gaming Industry Trend Predictions: Post-COVID Corrections & Smart TV Expansion 15:30 - The Future of Console Wars & Expanding to Non-Core Markets 17:00 - The Rise of CTV (Connected TV) Native Gaming with Find 18:10 - Breaking Down the Market: Mobile vs. Console vs. Cloud 19:15 - The Truth About AI in Gaming: The 0 to 80% Efficiency Shift   Follow Isaac on LinkedIn here: https://www.linkedin.com/in/isaacsundsted/ Join the ICONIC community: https://www.youtube.com/@iconicnationmedia Follow Kimberly on Instagram: https://www.instagram.com/kimberlylovi/  

Felipe Carvalho is Co-Founder and Chief Revenue Officer of Camu — an AI workflow automation platform. Previously, Felipe spent 10 years building the global go-to-market organization at Pipefy alongside founder Alessio Alionço, scaling a horizontal workflow platform that serves Volvo, Capgemini, IBM, Accenture, Visa, Santander, Itaú, and thousands of other SMBs and enterprises across Brazil, the US, and beyond. Before Pipefy, he built and scaled the fundraising function at Hospital Pequeno Príncipe — Brazil's largest children's hospital — raising over $20M and growing a team of 50.In this TJC Operators episode, Felipe shares the brutal sales lesson from Pipefy — why selling everything to everyone is a GTM trap that hides inefficiency through inbound demand, and why outbound exposed it overnight. He walks through the "who would be crazy not to buy this" framework from Seth Shaw (former CRO of Airtable) that reshaped Pipefy's outbound motion, how Camu got from 1–2% to 17% to 33% conversion by progressively narrowing focus to a single ERP (SAP Business One) and one specific workflow (invoice intake), why charging monthly with no strings attached was the cleanest way to validate true product-market fit, the Sean Ellis "very disappointed" PMF survey methodology and how Camu hit high-50s on a V1 product, why saying no to massive enterprise RFPs is a superpower in the early days, how Felipe now manages 68 active opportunities solo by using Claude and AI to automate 50–70% of sales back-office work (CRM updates, ROI calculations, proposal generation, deal-power scoring), the FCA (Fact, Cause, Action) framework Pipefy used to run monthly results meetings and why analyzing wins matters as much as analyzing losses, why "building a plane is different from flying a plane" — and why founders should nail the sales playbook themselves before hiring senior enterprise sellers, the shift from selling software-as-a-service to delivering recurring impact and how risk has moved from buyer to seller in the AI era, and the lesson he most wants Brazilian founders to learn about building credibility before the market gives it to you.Subscribe to The J Curve Insider newsletter for deeper insights and follow Olga on LinkedIn and Instagram.

In Episode 306 of FNO: InsureTech, co-hosts Rob Beller and David Prejeant are joined by Joshua Frossell, Founder and CEO of Senen. With a background spanning underwriting, strategy, and consulting across organizations like Allianz, Lloyd's, and Accenture, Joshua brings an operator's perspective to the InsurTech space. Senen is a claims intelligence platform that applies AI across the full lifecycle, from FNOL through settlement, transforming unstructured data into actionable insights, reducing manual work, and helping insurers make faster, more informed decisions. Joshua and the Senen team are quickly gaining recognition in the industry. In January 2026, Senen won the inaugural Generali Challenge Lab at ITC London 2026, emerging from a competitive group of startups after pitching live on the main stage. The platform was recognized for its ability to turn claims data into decision ready intelligence, improving reserving accuracy, accelerating triage, and enabling better outcomes, particularly in climate related claims. Around the same time, Senen was also accepted into the Microsoft for Startups program, gaining access to Azure infrastructure, advanced AI capabilities, and a global network to support growth and deployment. This episode also marks David Prejeant's introduction as co-host on the podcast, bringing more than 20 years of claims experience into the conversation. Together, Rob and David explore Joshua's journey from underwriting to building an InsurTech company, and what it takes to move from industry operator to founder. Key Highlights [02:00] • David Prejeant's introduction as co host on the podcast and joining the FNO team [09:30] • How Senen is using AI to streamline the claims lifecycle, from FNOL through settlement [14:00] • Joshua's transition from underwriting and consulting into building an InsurTech company [16:00] • Senen's 2026 ITC London Generali Challenge Lab win and what set their platform apart [27:30] • How Senen is built around delivering real outcomes for claims teams, not just AI capabilities

What makes a top-tier corporate analyst walk away from high-rise office comfort to step into the high-stress world of concrete layout and heavy civil engineering?In this episode of Constructive, host Seth catches up with Cal Poly alumnus Steve Silva to talk about his incredible transition from Accenture consulting to field-hardened entrepreneurship. Steve pulls back the curtain on the tight margins of heavy civil contracting, recounting the intense logistical nightmares of high-stakes concrete pours and why he eventually liquidated his 401k to bet on his own vision.Now focused entirely on software development, Steve breaks down how his platforms, Offloadit and Checkit, are leveraging AI and OCR to eliminate landfill waste, prevent stolen material transactions, and put a hard stop to vendor fee erosion for the small subcontractors building our world . Tune in to discover how AI-native tools are finally replacing "caveman" paper workflows!Show Credits & Music:Music Track (Royalty Free): https://www.bensound.comArtist: Lunar YearsLicense code: HRBO9NC4SPARNNZH

Brian Evergreen worked in AI at Microsoft from 2016 to 2023, including a role helping Fortune 500 executives develop their AI strategies. He kept seeing the same pattern: most of those projects were failing. He set out to figure out why, and the answer became his book, Autonomous Transformation. In this live recording for GeekWire's Agents of Transformation series, presented by Accenture, Evergreen explains what companies keep getting wrong, and why vision matters more than technology. With GeekWire co-founder Todd Bishop. Edited by Curt Milton.See omnystudio.com/listener for privacy information.

With Rafael Loureiro, Co-Founder & Chief Executive Officer, Wealth.com Rafael Loureiro on why estate planning is shifting from a static legal exercise to an AI-powered, advisor-led planning process. In Summary Estate planning has traditionally operated outside the core advisor workflow—handled through attorneys, revisited infrequently, and often disconnected from the broader client relationship. Louis speaks with Rafael Loureiro, Co-Founder and CEO of Wealth.com, about how AI is beginning to change that model. The conversation explores how advisors can use tools like Ester to surface planning gaps, stay ahead of client changes, and deliver a more continuous planning experience. For advisors, the broader implication is strategic: as investment management becomes increasingly commoditized, integrated planning and ongoing coordination may become a far more meaningful differentiator. The Storyline Most advisors already discuss estate planning with clients. The challenge is what happens next. In many cases, the process still moves outside the advisor relationship: clients are referred to an attorney, documents are created, and the estate plan becomes something revisited only after a major life event or liquidity event forces an update. Louis and Rafael explore why that structure is starting to break down. Rafael's own estate planning experience following the sale of Emailage to LexisNexis exposed how fragmented the process could feel, even for highly engaged clients working with sophisticated advisors. That experience ultimately became the foundation for Wealth.com and its AI-powered planning platform, Ester. The discussion focuses less on AI as a headline topic and more on how it changes advisor workflow in practice—from document interpretation and planning summaries to surfacing next actions and helping advisors stay proactively engaged as client circumstances evolve. For advisors thinking about the future of planning, the conversation raises a larger question: if financial planning itself becomes increasingly standardized, where does the next layer of differentiation come from? Topics Covered Continuous estate planning AI-powered advisor workflows com and Ester Advisor-led estate planning Family office-style client service Trust and estate attorney collaboration Estate planning for mass affluent clients AI agents in wealth management Dynasty Financial Partners integration Advisor differentiation beyond investment management > Download a transcript of this episode… Listen and Learn Highlights for Advisors Why did Rafael decide to build Wealth.com? (06:04) Rafael explains how his own estate planning experience after a liquidity event exposed major disconnects between advisors, attorneys, and clients. Why did Wealth.com choose an advisor-led model instead of direct-to-consumer? (14:28) The platform was designed around the belief that advisors (not marketing campaigns) are best positioned to initiate estate planning conversations with clients. What does “continuous estate planning” actually mean? (20:13) Rafael describes a system where client life changes, tax events, and asset activity can trigger proactive advisor engagement rather than periodic document reviews. How does Ester move beyond document summarization? (32:30) The platform now identifies planning opportunities, prepares tasks and reports, and increasingly helps advisors automate portions of the planning workflow. Why are enterprise firms and large banks adopting platforms like Wealth.com? (24:57) Many firms were already producing estate planning summaries manually for ultra-high-net-worth clients. AI allows those capabilities to scale much more efficiently. How should advisors think about the role of trust and estate attorneys going forward? (26:50) Rafael argues that AI enhances – not replaces – the attorney relationship by improving efficiency and reserving more sophisticated matters for specialized legal expertise. What may differentiate advisory firms as planning becomes more commoditized? (38:02) The discussion points toward responsiveness, coordination, personalization, and deeper client integration as the next major competitive layer for advisors. Key Takeaways Rafael believes estate planning is shifting from a one-time legal exercise to a continuous planning process supported by AI and advisor engagement. Wealth.com was intentionally built as an advisor-first platform rather than a direct-to-consumer business. Ester's AI capabilities now extend beyond summarization into identifying planning gaps, surfacing opportunities, and preparing advisor workflows. Many firms are using estate planning as a way to deepen relationships and expand into more family-office-style service models. AI may allow advisors to serve more clients while maintaining a higher level of personalization and responsiveness. Trust and estate attorneys remain critical for complex situations, but AI can improve efficiency and help clients arrive better prepared. Advisors who fail to expand beyond investment management risk competing in an increasingly commoditized landscape. https://youtu.be/BDI6XbEz_4E Quotable Moments “When AI moves from simply organizing information to helping drive decisions, estate planning stops being a periodic task.” “Investment management is becoming table stakes. Financial planning is becoming table stakes.” “Why does it have to be that way? Now with AI, why can we not have continuous estate planning?” “It is the intangibles.” “My goal is to empower the advisor.” Related Resources Human Intelligence in the Age of AI: Why Recruiters Still MatterArtificial intelligence can analyze firms and deals. It can't replace the insight and advocacy that help advisors make the right move. The Future of Prospecting: How AI Is Powering the Next Era of Advisor GrowthFINNY Co-Founder Eden Ovadia shares how AI is transforming advisor prospecting: automating outreach, matching advisors with ideal clients, and freeing time for deeper human connection. A forward-looking conversation on what growth will look like in the next era of wealth management. Rafael LoureiroCo-Founder and CEO Rafael Loureiro is a technology entrepreneur and product-focused executive with more than 20 years of experience across startups, growth-stage companies, and Fortune 500 organizations. He is Co-Founder and CEO of Wealth.com, a leading estate and tax planning platform powered by proprietary AI and purpose-built for financial institutions. Under his leadership, Wealth.com has expanded into a comprehensive planning platform, embedding deterministic AI to deliver precise, auditable outcomes across estate and tax workflows. Prior to founding Wealth.com, Rafael served as Chief Technology Officer at Emailage, a global fraud prevention SaaS company acquired by RELX in 2020. He is a member of the Forbes Finance Council and has been recognized across the industry, including CEO of the Year honors and Forbes' Top AI Founders to Watch. Originally from France and raised in Brazil, Rafael now resides with his family in the Phoenix metro area. NOTE: The views and opinions expressed by the guests on this podcast are their own and do not necessarily reflect the views and opinions of Diamond Consultants. Neither Diamond Consultants nor the guests on this podcast are compensated in any way for their participation. View the transcript of this episode… Why AI Matters Now: Filling the Estate Planning Gap with Wealth.com A conversation with Louis Diamond and Rafael Loureiro, Co-Founder & Chief Executive Officer at Wealth.com. Louis Diamond: Welcome to the latest episode of our podcast series for financial advisors. Today’s episode is Why AI Matters Now: Filling the Estate Planning Gap with Wealth.com. It’s a conversation with Rafael Loureiro, the firm’s Co-Founder & Chief Executive Officer. I’m Louis Diamond and this is the Diamond Podcast for Financial Advisors. Mindy Diamond: At Diamond Consultants, we help elite advisors identify the right environment for their businesses to thrive, whether that’s at a wire house, boutique, or independent firm. With nearly three decades of experience, we’ve guided thousands of advisors and represented more than a quarter of a trillion dollars in assets transitioned, and each year, one in four advisors managing a billion dollars or more who change firms are our clients. Our process is education driven and based on building relationships, starting as your strategic partner well before you’re even thinking of a move. To schedule a confidential conversation, call us at 908-879-1002. Wondering why advisors change firms and where they’re headed? Are transition deals going up or down? Those very questions and more inspired us to create our annual Advisor Transition Report. It’s the award-winning data-driven resource designed for advisors that connects the dots between the motivations around movement and the firm’s appetite for top talent. Arm yourself with the knowledge you need to make smart decisions. Download your copy at diamond-consultants.com/transitionreport. Louis Diamond: In the wealth management world, estate planning has largely lived in a separate lane. It’s a topic advisors may raise with clients then hand off to an attorney and eventually a set of documents come back, filed away, rarely revisited, and often disconnected from the rest of the planning process. That structure has been in place for a long time and for the most part, it’s gotten unquestioned, but when you step back, it creates a gap between what do clients expect from their advisor and what actually gets delivered when it comes to estate planning. Rafael Loureiro, co-founder and CEO of Wealth.com, ran straight into the gap after a planning event of his own which should have been a coordinated process, felt fragmented, manual, and surprisingly opaque. And likewise, I recall the same type of disjointed experience in my own estate planning process. It’s experiences like these that became the starting point for building Wealth.com. What makes this story interesting isn’t just that they’re using AI but how they’re using it inside the estate planning process, and it’s how AI allows the model itself to change from a one-time legal event to something that evolves alongside the client, from static documents to a system that can actually interpret, update, and surface what matters, from a disconnected handoff to something the advisor can actively lead. In my conversation with Rafael, we get into how that plays out in practice, how tools like Ester move from summarizing estate documents to identifying gaps, to prompting next steps, and eventually preparing action on behalf of the advisor, because when AI moves from simply organizing information to helping drive decisions, estate planning stops being a periodic task and starts to look more like a continuous part of the advice process. So let’s dive in. Rafael, thank you for coming on our show today. Rafael Loureiro: My pleasure, Louis. Thank you for having me here. Louis Diamond: Of course. Let’s jump in and in researching you and speaking to you in the past, I got to admit, you had a very different path into the wealth management industry probably than anyone I’ve ever interviewed. So can you walk us through your background briefly and early professional endeavors? Rafael Loureiro: Absolutely. The accent that you hear is Brazilian. So I’ve been in the US for 25 years. I’m a software engineer by trade, came here as a HMB, been involved with different companies over the years and then most recently before Wealth.com. I was a chief technology officer with a fraud prevention company, nothing to do with wealth management, but by selling that company, it’s how the Wealth.com story started. Louis Diamond: Perfect. And I was referring to also some of your early career endeavors even before founding your last company, if you’re comfortable sharing that. Rafael Loureiro: Yeah, absolutely. I’ve been involved with four different startups in different spaces. One of them was in, if you remember all the way back to 2008, the real estate prices, the first startup with foreclosures. So when houses went into foreclosures, me and my partner, we created a system to index that. I also had work on a photo album company. It became a lifetime business. It’s still running. I was the CTO and I did my share of consulting. I used to work for Accenture, Avanade, and then a home builder Fortune 500 companies. So I have a ton of experience in the technology space before Wealth.com. Louis Diamond: Perfect. And you mentioned the last business that you started that I believe sold to LexisNexis. Can you walk through what that business was? Rafael Loureiro: Yeah. So I did not start the business. I joined the business before Series A. The person that started the business, Rei Carvalho, he’s actually Wealth.com chairman. So the team is still together. The US, San Francisco, New York, offices in Sydney, Singapore, London. We serve clients like Coinbase, grew very fast and then got acquired by LexisNexis in 2020 during peak COVID. Think about, we literally signed the documents, popped the champagne on March 2020. No vaccine. Louis Diamond: Oh, my God. Rafael Loureiro: We literally popped the champagne and we all went back home to work from home because that was the guy that’s from LexisNexis. Through that experience, selling a company, one thing you usually do, it’s a big liquidity event and estate planning is always related to big moments. You get married, someone in your family die, you have a new kid, you have a liquidated event. So I work with a financial advisor. They’re amazing. They helped me with financial planning, wealth management, saved me a lot of money insurance. But when it was time to do the estate planning, Louis, my experience was, “Hey, Rafael, we always work with this lawyer, go talk to the lawyer.” And then it was a completely broken process. First, because it was COVID and I had to go see the lawyer face-to-face. That was weird right there. Second, because I was expecting the lawyer to know everything about me because my advisor knows everything about me, know about my life situation, know about liquid event, know about my kids, rental houses, everything and then the engineer. I know what I told the lawyer, but do I know for sure that everything I told the lawyer end up in the document? No, I don’t. Long story short, otherwise it is a long story, we’re having a virtual coffee. I don’t know if you remember everyone, big beard, long hair, everyone working from home, and then somehow all the Emailage C-level team and founders, the co-founders, we start complaining about state plan. Even another example, my chairman, the Wealth.com chairman, Emailage CEO, Rei Carvalho, he was like, “Hey, Rafael, I’m done with the summer heat in Arizona. I’m moving to Denver. I’m going for cooler weathers.” Literally the moment he moved to Denver, he gets a call from his estate planning lawyer, welcome him to Denver and saying, “Hey, we need to update your documents. “But I just spent thousands of dollars creating my documents.” “Yeah, but you live in a new state, you have to optimize your documents.” At that moment, Louis, we’re like, “Where there’s a problem, there is an opportunity,” and the company was born. Louis Diamond: I find the best company origin stories, it’s you have that, you have a personal experience or a moment where you have a realization that there’s a problem that you have that others might have as well, so let’s create a business around solving this problem. It was legitimately at that point, it wasn’t a long burn, we’re going to research, we’re really going to think about this, it was just all of the core team that was fortunate enough to have a big liquidity event were complaining and commiserating about a similar problem on estate planning and then that launched into, let’s build a company, let’s build a platform, a product to solve this problem? Rafael Loureiro: Yes and no. We saw the opportunity. We had just finished selling a company. It takes a lot from you and your family to create a company and to sell a company. Before we started a new company, we said, “Hey, look, we feel like there is something here, but let’s do the proper groundwork, make sure that the market is right, that there is a need that it’s not only us complaining about these.” I’m going to say that we spend a good three month, we have vision document together, doing a market research and then we got excited. Literally my wife who was not super excited in the beginning said, “You guys just sold a company. You’ve been racing 100 miles an hour for the last seven, eight years and you guys going to do this again.” But I love it. It’s part of my DNA. I love the challenge. I love to build and it is a big problem. When you look at the US market, 67% of the population don’t have estate planning. You have to ask yourself, why? Is that because it costs too much money? Is that because people don’t know enough about estate planning that they don’t do it? Is that because people don’t have to think about that? So the opportunity is there. We did the groundwork. We got the team together, at least some of our eight players. We went to Altus Capital, that’s the same venture firm that led the Emailage series B and we said, “Look, we have a vision, we have a team and we believe the market is ready for it. There is no dominant player and it is blue ocean.” And then they gave us the initial funding, them and my chairman, and then we went from having an idea to launching the product in May 2022. Louis Diamond: Wow, that’s amazing. Before we dive into the rapid growth and what the platform looks like, et cetera, can you just give us a quick overview of what Wealth.com looks like today? Who are you serving? Who are you selling to and where does it fit into an advisor’s value proposition or their advice stack, if you will? Rafael Loureiro: Absolutely. So Wealth.com we empower financial advisors to provide a family office experience to their clients starting with estate planning and tax planning. What I’m trying to solve, Louis, is my situation. I want my financial advisor to be the hub of my needs. So if the need is financial planning, wealth management, insurance, estate planning, tax planning, I need my financial advisor to be aware of all these verticals, right? Because I know if something happens to one of us, my financial advisor is my person. He or she’s going to get my call from my wife and say, “Hey, am I all right?” I want to empower the financial advisor with all the tools to provide that family office experience to their client. So that’s first, we started by providing doc migration. So think of this, you are mass affluent client, between half a million dollars all the way to 10 million dollars. You don’t have your revocable trust, your will, your power of attorney, your advanced healthcare directive, your guardianship documents. We do that. We create those documents. You go to the workflow on the Wealth.com platform if you have an advisor, I need to make that clear, we’re not direct to consumer business. You have to have an advisor. So you go to that workflow and at the end of the workflow, you get the documents. Those are legally optimized, all the documents. The document you get in California is going to be completely different from the document you get in New York, from the document you get in Florida. I just want to make that point clear. What we noticed, Louis, working with these advisors is if you look at the average advisor, if you look at his or her book of business, 80% is mass affluent. So think lawyers, doctors, firemen, 20% high net worth. Usually the high net worth clients, ultra-high network clients, they already have the documents. They already paid $20,000 to have those documents draft and we were not doing anything for them. So in 2022, we had that light bulb moment even before LLMs. OpenAI launched in 2022, we actually used the Bertha model before OpenAI, but I know I’m digressing. Let me get back here. So I was not doing anything for these high net worth, ultra-high net worth clients. So we had this idea, what if we use AI to read their existing plans, all their grants, LATs, all this sophisticated irrevocable trust, connect to all their assets and then provide a summary of everything they have in place? So that was the idea in 2022. Can we do it? And we did it and that became Ester and that became our family office experience. So just to summarize, we help the advisor clients regardless where they fall in the wealthy spectrum. They don’t have the estate planning documents, we create them. If they already have the estate planning documents, we use AI to read this documents, summarize them and provide insight and observations. “Hey, here are ways that you can optimize these documents.” That’s what we do. Louis Diamond: It’s so valuable. I wish I met you a month ago because I went through a very expensive estate planning exercise with an estate planning attorney and my own personal experience is exactly the same that you had. It’s expensive. I have no idea what I was signing. It was a long questionnaire and it wasn’t driven necessarily by my advisor. They gave me the idea to get updated estate plans, but it was a disconnected process. So this makes a ton of sense. I think let’s pull on the thread of being a direct to advisor company rather than trying to pull an end around the advisor and going directly to a consumer. Why was that an important design decision for you? Because I would assume the total adjustable market might be a little bit bigger if you’re going direct to a retail client that may or may not have an advisor versus going directly to a business, an RIA, a wealth management firm, et cetera. Rafael Loureiro: Yeah. What we notice working within these spaces, something triggers you to do your estate planning. I’m not going to ask why you decide to do yours now, but usually it’s related to death in the family, a kid going to college, you buy a new house, you have a new baby, you’re getting married, you get a divorce. Direct to consumer, you have to find the client at that moment for them to consider estate planning as an important thing to do. There’s actually surveys. I think Fidelity put a survey out, that says family is the main reason why people do estate planning. And the second reason is the advisor. So if you work with a financial advisor, most likely he or she’s going to make you do your estate planning. So we did not want to be on the direct to consumer place spending millions and millions of dollars in marketing. We’d rather spend millions and millions of dollars in AI and technology and serve the advisor and empower the advisor to have this conversation and go to you and say, “Hey, Louis, how is it possible that you don’t have your estate planning document? Let’s do this now.” And I know this is uncomfortable. There’s another survey that came out recently saying that some of the advisors don’t want to talk about that. It’s still a hard subject to approach, but we have to have this conversation. Louis Diamond: I would say it almost sounds like an advisor not wanting to talk about their fees. Let’s not talk about that because it’s uncomfortable and no one wants to hear about it. Rafael Loureiro: Oh, you have to have it because they saw a huge lack of education. For example, one thing that we come across all the time, and I know it’s minor, is kids going to college. “Oh yeah, my daughter’s going to college. I don’t have to do anything.” Yeah, you do. She needs an advanced healthcare directive because if you don’t have one and something happens to her, you cannot just go to the hospital and ask for information. They won’t give it to you. We need to educate our clients. We need to do a better job. And I think advisors play that role and we want to empower them to talk about estate planning and tax planning. Louis Diamond: It makes sense. It’s a brilliant strategy because instead of advisors selling against Wealth.com as like, “I can do better and I have a estate planning guy I can refer you to,” it’s you’re working alongside them and you rely upon the advisor to provide the education to be the trigger moment. And I know again, from personal experience, if my advisor didn’t suggest that I should update my estate planning documents because I moved states, I wouldn’t have done it. It’s not like a fun thing to do. It’s an expense, et cetera. So that makes a ton of sense. You’re partnering with the hub or the influencers, if you will, of who’s driving estate planning in this country. It’s a great strategy. Rafael Loureiro: And you said something very important and I want to highlight, the world is very different after COVID. Before COVID, some of these advisors, all their clients were in the same city. I had one estate planning lawyer to help my clients, right? But now with after COVID or during COVID, people moved. “Oh yeah, I’m not living in a farm. Oh, I moved to Montana. Montana is beautiful. I saw Landman or Yellowstone. Now I’m leaving Montana. Landman is in Texas.” How? Now you don’t have estate planning lawyer in Texas. You don’t have estate planning lawyer in Montana. With the right partnership with Wealth.com, now you can serve all your clients regardless where they are in the US because we are present in every jurisdiction and we have lawyers in every jurisdiction. So we empower you to serve clients regardless where they are in the US. Louis Diamond: Very cool. And how about the pricing model? You don’t have to say what it costs, but is it one license that a firm is buying on behalf of their entire client base or is there an incremental cost for each client? And I’m throwing a lot at you. And then third part of the question is, are you seeing advisors charge directly for the Wealth.com estate planning output or are folks wrapping it into their fee as just a value added service as part of their planning and comprehensive wealth management process? Rafael Loureiro: Very good question. My goal, our goal, has always been we want to make estate planning available, democratized estate planning, make it more accessible to the population. So the way we charge is we charge the advisor annual recurring fee. We do not charge per document. I want you to provide estate planning to all your clients. That’s our goal. I don’t want you to think, oh, but that’s going to cost me money. No, all your clients set them all up with estate planning. Are they charging? It depends. So the way I’m going to say this is, I’m going to say that 60% of my advisors are charging not for the documents because they’re not lawyers, they’re charging to help educate you on estate planning. You as a client, you have to go to the process yourself to get the documents. So that’s where an advisor would send an invitation to Wealth.com. You and your wife or your partner, you’re going to go to the workflow and you’re going to get the document at the end. But the advisor is going to set up a call with you, the advisor is going to help you collect the documents. The advisor is going to educate you why estate planning is important. And some of them are charging for this. Some of our advisors, more on the high net worth, alternate high net worth space, you already charge a very good fee to provide your service so they probably provide Ester output, I should say, as a value added service. It depends on the use case. Louis Diamond: Makes sense. So I’ve heard you talk in interviews about a major gap in estate planning between client expectations and what a client is expecting, hoping to get with estate planning, especially when it comes to interacting with their financial advisor and what is actually fundamentally delivered by advisors. So I’m curious, why is there a gap and why do you think that gap has existed for so long? Is it as simple as people don’t like talking about death and it’s expensive or is there a deeper answer? Rafael Loureiro: I think it’s all of the above and your experience is amazing. You pretty much, you are the typical client. You took long to do it. It costs you a lot of money. You’re now like, next time you have to do an update, you’re going to wait five to 10 years to do it because we spend thousands of dollars to get it updated. Why does it have to be like that? And now with AI, and that’s what I think is going to change a lot in the next five years, is why can we not have continuous estate planning? What I mean by that is work with your advisor. I have connection to all your assets. I have connection to CRM. I have connection to your bank account. If you give me access, I don’t need password, but you can actually connect all your assets, I have connection to the portfolio management platform. So as you live your life, as you get married, as you buy a property… You finally decide to buy a property in Tahoe, I get these pings and then I can empower your advisors to say, “Hey, go talk to Louis and say, hey, it’s time to update your estate plan.” Or a rental property outside your home state in California, you need to update your… Or he has just crossed a tax threshold or he just got married or he just had a new beneficiary. My goal is to empower the financial advisor to provide more and more value to this relationship. I’m not trying to replace the financial advisor, but I’m trying to empower him or her to give you more value so him or her becomes more critical for your relationship. Why people haven’t done estate planning I think is a lack of education, is the fear of the cost. “Oh, I have to talk to a lawyer. Oh my gosh, that’s going to cost me $5,000.” I want to make this easier. I want to make this simple. I want to empower the advisor to demystify estate planning and tax planning, make it more accessible, bring the estate planning more to the middle. What I mean by that is why is this estate planning exclusive to the high net worth, ultra-high net worth? Because in that space, 90% of the people have estate planning, 90% of the people. It’s the fear of the cost, I think, and then people don’t want to think about that. Louis Diamond: Yeah. I think that’s exactly right. Yeah. It very much sounds like it’s a win-win. It’s like a next best action type event where you’re giving an advisor on a silver platter a way to add value, which is what I think every advisor wants to do and then it’s a massive value add to the end client. My guess is you don’t have much friction in delivering those sorts of insights to advisors that they can then deliver to their clients. Rafael Loureiro: I would say if you’re not doing it, there is a big risk. You’re going to lose your clients to people that are doing it and they are providing the family office experience. Yeah. Louis Diamond: Yeah. What about the competitive landscape for Wealth.com, whether it’s other FinTechs that are attempting to do something in the space or even just the legacy advisor, the estate planning attorney in town or an advisor’s preferred T&E attorney. How do you think about the competitive landscape in the trust and estate world today? Rafael Loureiro: There are competitors. From day zero when we came in, there were competitors. I don’t see an incumbent. I think now we have became the incumbent. I think there is a segment of the market, just to paint a picture, one third of the advisors are going to retire in the next 10 years. So there is a segment in the market where to your point, they already work with a estate planning lawyer. That’s not a bad thing. They’re like, “Oh yeah, I get leads from this lawyer. My clients are all located in my neighborhood. I don’t need to provide out of state estate planning,” then we’re not going to get there.” But at the same time, if you look at our growth, we’ve been growing and that’s why we just raised a series B, our growth is out there to prove it, we’ve been tripling the company size every year. There’s a need, there’s a demand. Financial advisors are waking up. They are in a very competitive market. They need to provide more to the clients because I feel like investment management, it is becoming table stakes. Financial planning, it is table stakes. So what else can I offer my clients? And that’s why you see some advisory firms offering BillPay. I file your taxes. I’ll get your estate planning done. You got to differentiate yourself. We’re seeing the need. If you look at our penetration, we have now 2,000 firms on the platform and the firms go from independent, a small SMB advisor with one or two advisors in the office, all the way to the top three, three out of the top five banks in the US. We are there, right? Louis Diamond: Wow. It’s interesting. Let’s talk about that. So on the bank side, it’s typically not a segment that is ripe for technological disruption or external tools like this to come in and make a dent. How are banks and very large platforms thinking about Wealth.com? Is it a similar kind of buying journey or decision that an individual RIA or an individual advisor would make or is it a little bit different? Rafael Loureiro: It’s a little bit different. So without mentioning names, these banks, some of these banks that work with high net worth, ultra-high net worth clients, they were providing this summary report that Ester put together, they were, before Esther, but it was taking them 30 to 50 hours. All human labor to put one together, Excel, Visa, PowerPoint, 30 to 50 hours. Even to these very expensive, very wealthy clients, they were only doing once a year. “Hey, here’s your report.” “Oh yeah, but I just sold the house in St. Barts. Can I get a new update?” “No. Next year you’re going to get the update.” I’m not even kidding. It was serious. So they were doing the work, but it was all labor-intensive. Now with Wealth, a much better output, I should say, it’s take minutes. And instead of only reserving these to the very, very wealthy clients, now they can go downstream and offer this to their mass affluent clients and then high net worth clients. They’re all seeing the need. They’re all waking up because they were doing the work, but it was all labor-intensive, like I said, all manual before and they want to automate. Louis Diamond: Very interesting. I definitely want to spend some time talking about Ester. You mentioned it a few times, but before that, I’d say two very real strategic areas that a firm might take on when it comes to estate planning. The first one is a lot of very successful advisors, they cultivate amazing COI referral relationships with attorneys and usually the attorneys are T&E attorneys for obvious reasons. Have you gotten pushback or have you seen that because of Wealth.com, these advisors now are referring less business to these high-powered trust and estates attorneys and then they’re not able to grow their business as much in return. That’s one question if you can weigh in. Rafael Loureiro: I have not heard that. And just to clarify, I think with Wealth, having Wealth as part of your tool framework, you’re going to be able to serve more clients and still leverage your trust estate attorney. And I’ll explain how. For example, we know how to stay our lane. So let’s say you go into the workflow and as part of the workflow, you say, “Hey, I have a special needs child.” At that moment we say, “Stop. Let me put you in touch with a lawyer.” You can decide to use your own lawyer or you can use one of in our network. We have lawyers in every jurisdiction, but it’s up to you. We focus on the revocable trusts and the wealth. If your client requires something more sophisticated, you can still use Wealth.com to map out the client’s situation using Ester. You’re going to be able to see everything they have in place at that moment and then use your relationship, your trust and estate lawyer to make the document update. So I think what we are doing is reserving the most complex case for the trust and estate lawyer if a document needs update, but I don’t think you are breaking that relationship. That relationship will stay there and you’re still going to have that lead exchange, but I don’t have any numbers to answer your question. Louis Diamond: I think that makes sense. It’s not like with Wealth.com, at least not yet. It’s not like there isn’t a role for a T&E attorney and especially for more complex esoteric type situations, an advisor could still refer some of their relationships to a T&E attorney, but they’ll come armed with better information. And also with more clients getting involved with estate planning, there’s also conceivably more opportunities that they can refer out to an estate planning attorney in turn. Rafael Loureiro: Can I use that? You did a much better job than I did. Exactly. Exactly what you said. The difference is now your advisor, your clients are going to be much better informed, that they know exactly what they need from the lawyer. So yeah, 100%. Louis Diamond: Perfect. And then the other one, which is I’d say less commonplace, but it’s a trend. The trend, and you hit on it, that as investments are becoming commoditized or not as differentiated, advisors are being called on to offer more and more services, whether it’s tax preparation in-house or bill pay or picking up clients’ dry cleaning, et cetera. But I think a big area that I’ve seen firms invest in is an in -house trust and estate attorney. Do you think Wealth.com is taking some of the sizzle out of that in-house service or is it just different? Is it two different use cases? Rafael Loureiro: It’s two different uses cases and we actually sell to that use case where if you have your trust estate attorneys in-house, we actually leverage them and they become users on the platform. Going back to my previous answer, now with Wealth.com, you’re going to be able to serve more clients with estate planning. You can actually route some of the use cases back to your trust estate team through Wealth.com. They do whatever they have to do and then you’re able to serve more clients. An example, trust and estate lawyers, they had to read the documents before Wealth.com. They would spend countless hours reading a hundred-page documents. Now with Esther, we do the summarization. We show your trust estate team where all the information was extracted. So instead of reading one document per hour, you’re going to be able to read three documents per hour and visualize the client estate plan and be able to optimize it because we’ve provided insights and suggestions and then the trust and estate lawyer can provide their own and say, “Hey, no, I agree with this one,” or “I think we should also do this.” I think you’re going to optimize the use of your trust estate team. You’re not going to get rid of them. No. Louis Diamond: It’s more so you’re automating the high value differentiated work. It also kind of sounds like, I don’t know when eMoney or MoneyGuidePro came into the mainstream, but it’s almost a difference between a paraplanner for a firm, manually creating pie charts in Excel and PowerPoint and analyzing a bunch of stuff and then eMoney and MoneyGuidePro and NaviPlan and all these companies come about and all of a sudden a lot of the work is automated. And it’s not like a paraplanner is out of work. They just become the experts, the users of the platform and they can allocate their attention to higher value, more bespoke work rather than we’ll say more of the factory kind of below the line things that was taking up a lot of their time. Rafael Loureiro: Absolutely. I like to use the analogy of the shoemaker. In the past, the shoemaker would make one shoe. It would be a beautiful shoe, but he would make one shoe a week or every two days. Now you have specialized agents. All that agent does is read estate planning documents. All that agent does is enriching the documents with insight and observations and looking to all the legal law changes that happened recently. So now you’re able to still make the same high quality shoe, but just at a higher volume. And you have a lot of dedicated workers doing one thing and doing one thing extremely well. So my goal is to empower the shoemaker. My goal is to empower the advisor and with a thousand analysts, a thousand paraplanners. So just making my job more efficient. Louis Diamond: I love it. You fit in Ester a good bit. It seems fairly clear what Ester’s doing. Sounds like an amazing value add. Just given the pace of AI innovation and I don’t think anyone knows where it’s going, but what are you most excited about Ester being able to do either now or in the future and what’s the vision if you can project out a year, which seems like an eternity in AI time, what’s on the dream board for what Ester’s going to be able to do for your Wealth.com clients? Rafael Loureiro: As a technologist, I love this question. I see AI in three distinct phases. You had the first phase of Ester in 2022, 2023 when we launched, which was summaries. It was amazing summarizing data. Some of these clients, Louis, think about this, some of these clients, they have 13 documents in place. They had every type of irrevocable trust you can imagine plus a revocable trust in place. They had very complicated assets, very complex assets. So Ester was amazing in summarizing. That was phase number one. Phase number two is now being able to augment. You read the data, you see an opportunity and you create a task that’s right there in front of the advisor saying, “Hey, I think you should reach out to this client and include this report with some of these observations. Click this button if you agree.” You still involve the advisor, the human is still in the loop. And that’s what we are with Ester right now. We do that. We assess the data, we see the opportunity, we involve the advisor, advisor get involved and say, “Yes, let’s do this,” and click a button, an email is triggered, our report is attached. Here we go. The third phase and that’s coming next and very soon is now you have an agent acting on the behalf of the advisor. I still want to make sure, and I want to make this very clear, I don’t want to get myself in trouble, the devices always evolve, but you have all these specific agents, that’s tax planning agent, that’s the estate planning agent, work independently, connected to the world, extremely well-trained with thousands and thousands of documents that we’ve seen over the years, finding opportunities, creating the tasks, creating the emails, creating the report, having everything ready to go, just waiting for the advisor to say, “Do it.” And we do this enough to the point where the advisor is going to say, “All right, you don’t need my permission anymore to do this specific task. Go.” You connect to the IRS, you download the text transcript, you crunch to this data, you create a report and it’s ready to go. The other thing too is I want to be able, my goal in the next year, a year and a half, is I want to continue estate planning. Up to this point, estate planning has been exactly like you described. You go to a lawyer, you pay thousands and thousands of dollars and those documents start collecting dust in a shelf somewhere while you live your life. And being from this space, that’s not how it works. There is new legislation being passed OBBA became like you crossed tax threshold, you have liquidated events, you get married, you get divorced, you buy real estate property, so on and so forth and that document is already stale. Why does it have to be that way? Now with AI, now with the technology we have in place, it won’t be. I promise you. Louis Diamond: Very cool. That’s exciting. That sounds like the perfect evolution of AI from summary, just here’s something you can read quickly to suggesting action, to then taking action. It does seem like the flow that it’s been and I’m sure there’s 15 other flows from here that we don’t even know yet. Or you probably do because you’re in this, but for me, I can’t even imagine what phase four and five are going to look like for you. Rafael Loureiro: Yes, it’s exciting. Louis Diamond: Definitely is. I saw, when I was doing some research for this that Wealth.com announced a fairly major strategic partnership with Dynasty Financial Partners, embedding Ester into their Dynasty desktop. What do you think this partnership says about where the business is going and how do you expect advisors to really take advantage of this in practice? Rafael Loureiro: It was a new development. We’re super excited about the Dynasty Financial Partnership. Before, if you look at before this partnership, we would have to empower advisor one by one with a Wealth.com license. With this partnership with Dynasty, every advisor in the Dynasty family or using the Dynasty desktop is going to be able to use Ester. So they’re going to be furnished with an AI intelligence that they can ask any estate planning questions, they can get tax planning questions answered. They’re going to be able to upload their clients’ estate planning documents and get a summary with opportunities, with everything that they can do for those estate planning documents. I think it fits perfectly well for enterprise IRAs, wire houses, this solution. Instead of doing one by one, you can actually have AI for all your advisors at once answering their most basic questions and taking action. That’s literally like the agents I was trying to describe. So that’s just the first step in that direction and we’re super excited about this. Louis Diamond: Very cool. Let me ask you another one. So you said earlier that as investment management becomes more commoditized that advisors not only have to offer more services and provide more value, but they also have to differentiate from the advisor or the firm across the street to provide more family office services, if you will. But let’s say, and this will be great for you, Wealth.com becomes like air that everyone’s breathing. It almost becomes like financial planning tool, e-Money. It’s commonplace. Now it’s commoditized across the space, it’s not a differentiator anymore to offer financial planning. As Wealth.com expands more firms work with the platform, what do you think is the next layer or next level of differentiation that your clients then can point to if it’s no longer maybe a couple of years from now that we use Wealth.com that we help with estate planning? Rafael Loureiro: Wow, that’s an interesting one, and approach my wife and bring ideas and suggestions. For me, if I can make that happen where the financial advisor is helping with my taxes, so when it’s tax time, we just have to have a one-hour meeting and we’re ready to click a button and have everything done, that can help me with BillPay. And think about like high net worth and ultra-high net worth people where it becomes extremely complicated to do BillPay properly because you have to pay from the right account, from the right trust. If they can take this off my plate so I can focus 100% in my business and my family, it’s mission accomplished. If that means that they’re going to walk my dog to make this happen, I know I’m exaggerating here, but pick up my laundry like the example you use, I think you’re going to have to do this. That in my mind is how these financial advisors survive the AI revolution. It is that personal relationship. It’s knowing me well. It’s spending more time with me than once a quarter. And with AI, with the right AI, and I know AI, there’s a lot of smoke in this space and very little fire, but with the right agents, with the right workflows, one advisor is going to be able to serve more than a hundred clients. Because right now the ratio is a hundred clients per advisor, maybe you’re going to be able to serve like 200, 250 well. Serve them well, knowing them well, knowing them personally. I think that’s going to happen in the next couple of years. Louis Diamond: I think that’s right. It’s more so like the intangibles that an advisor has. Their secret sauce isn’t going to be necessarily we offer these seven things. It’s going to be, I really get you. I understand you. It’s the advisor’s personal relationship and empathy with that client and all the years that they’ve known them. And then it’s just using all these different tools to aid that relationship. It kind of sounds like that’s what you’re saying. It’s all the other stuff that advisors do that might be different today, over time, people catch up and that becomes commoditized similar to we offer financial planning and that’s a differentiator. Now it’s, if they don’t offer financial planning, it’s a problem. Rafael Loureiro: Yeah, 100%. You got it. Yes, it is the intangibles. That’s perfect. Louis Diamond: Okay. I got two more questions for you. What’s one thing you wish more advisors understood about estate planning that they still miss today? Rafael Loureiro: I think there is an education component. Just deploying Wealth.com and expecting is going to work with your clients. It’s not like that. You need to be willing to have the conversation like your advisor did it with you. You need to have the tough call and say, “Hey, are you ready? Do you have estate planning in place? Why not?” And then having that conversation. Louis Diamond: And I would imagine too, it’s also cool, I got all these documents so instead of it getting locked in the safe or locked in the drawer, it’s also incumbent on the advisor to explain the documents. “Hey, these are a bunch of stuff in here that whatever, we don’t have to get into, but here’s the four key things about this document that you should understand. The power of attorney we’ve nominated is your father-in-law. Your proceeds are going to get distributed one-third to your son, a quarter to your daughter,” et cetera. It’s going to be those things and translating the documents into real words that clients are going to understand. Rafael Loureiro: 100%. That is critical because I’m a software engineer, I’m not equipped to be reading a hundred pages document and trying to understand everything that’s there without … Now with AI, you can actually ask Claude to summarize and Gemini to summarize it, but that was not the case three years ago. So that education component is critical. And some of my advisors are actually very successful, I should say. A smaller firm in this case, I’m not going to say the names, I don’t have that permission to say their name, but they are actually doing these estate planning webinars as a lead generation. Because clients are curious about this. Sometimes if you don’t ask them, you’re never going to know, but they’re probably very curious about estate planning. They’re probably very concerned they don’t have the documents in place. Even the ones that have the documents, they’re probably concerned that they need an update and they haven’t done it. So by doing this webinar, they feel more comfortable just going to the event. They know they’re not going to be the center of attention and then asking a question or hear people asking questions. Some of my most successful clients are actually using webinar as a lead generation to explain state planning. Louis Diamond: It’s a great idea. It’s like you’re empowering the advisor to talk more about estate planning. It’s no longer this bugaboo that was too complex or not in their swim lane. It’s empowering them to lead with, it sounds like. Rafael Loureiro: 100% Louis Diamond: Amazing. And last question, if you were an ambitious advisor building a new firm from scratch today, what would you tell them to focus on to create a more durable, harder to replicate future-proof business? Rafael Loureiro: That’s a great question because the factory floor of a hundred years ago, is no longer work. If you have a chance to start from the beginning, it’s a new world. It’s a new world for companies like ours. Even for companies like ours that are in the bleeding edge of technology, everything is changing with AI. How I organize my teams is changing with AI. So I would say select Wealth.com. No, that’s … I’m kidding. I’m kidding, but yes, I’ll say select the right tools, use AI properly, it’s no longer a headcount game. I’m not saying you’re not going to need help, you’re going to need help, but make sure the tools are talking to each other because it is a new age. It’s an agent about speed, about being able to offer more service quicker, about increasing the relationship, the intangibles, to your point. It’s no longer once a quarter call to your clients. So if I had the chance to do everything again, if I had a chance even to start Wealth.com again, it’s different how you organize your team in this age of AI. AI is going to be bigger than the industrial revolution. Trust me, the shockwave is huge. To your point earlier in this call, we’re getting a big jump every month. It’s no longer every year, every month there is something new coming from AI. So if you start your firm again, select the right partners, select the right tools and then hit the ground running. Louis Diamond: Perfect. That’s amazing. Rafael, this has been so fun. I learned a ton from you. You just have a way of storytelling and I absolutely love the why behind Wealth.com, the personal experience that probably a lot of listeners have had as the light bulb moment. And instead of just complaining about it, you actually took action and now are creating the future of estate planning, empowering advisors to offer estate planning to their clients, getting more folks in this country set up with trust and estates and wills, et cetera. So I think it’s amazing what you’re doing and I’m very excited to continue to watch your success. Rafael Loureiro: Thank you. Thank you for the opportunities and just to do a final plug, estate planning, tax planning, stay tuned. There is more coming. Louis Diamond: There we go. Thanks so much. Rafael Loureiro: Thank you. Mindy Diamond: As a financial advisor, you hold yourself to the highest standards of integrity, honesty, and credibility. You are successful because you take your professional responsibility seriously and are dedicated to your clients. But are you living your best business life? Are your goals aligned with your firms or could a better option exist? Should I Stay or Should I Go? is a book written with you in mind it’s a self-guided journey that walks you through the key steps that we take with our advisor clients. This strategic thought process and roadmap to professional self-discovery is designed to help you ask the right questions and think critically and objectively, whether you’re considering change or not. Learn how to get your copy at diamond-consultants.com/thebook. Why AI Matters Now: Filling the Estate Planning Gap with Wealth.com A conversation with Louis Diamond and Rafael Loureiro, Co-Founder & Chief Executive Officer at Wealth.com. Louis Diamond: Welcome to the latest episode of our podcast series for financial advisors. Today’s episode is Why AI Matters Now: Filling the Estate Planning Gap with Wealth.com. It’s a conversation with Rafael Loureiro, the firm’s Co-Founder & Chief Executive Officer. I’m Louis Diamond and this is the Diamond Podcast for Financial Advisors. Mindy Diamond: At Diamond Consultants, we help elite advisors identify the right environment for their businesses to thrive, whether that’s at a wire house, boutique, or independent firm. With nearly three decades of experience, we’ve guided thousands of advisors and represented more than a quarter of a trillion dollars in assets transitioned, and each year, one in four advisors managing a billion dollars or more who change firms are our clients. Our process is education driven and based on building relationships, starting as your strategic partner well before you’re even thinking of a move. To schedule a confidential conversation, call us at 908-879-1002. Wondering why advisors change firms and where they’re headed? Are transition deals going up or down? Those very questions and more inspired us to create our annual Advisor Transition Report. It’s the award-winning data-driven resource designed for advisors that connects the dots between the motivations around movement and the firm’s appetite for top talent. Arm yourself with the knowledge you need to make smart decisions. Download your copy at diamond-consultants.com/transitionreport. Louis Diamond: In the wealth management world, estate planning has largely lived in a separate lane. It’s a topic advisors may raise with clients then hand off to an attorney and eventually a set of documents come back, filed away, rarely revisited, and often disconnected from the rest of the planning process. That structure has been in place for a long time and for the most part, it’s gotten unquestioned, but when you step back, it creates a gap between what do clients expect from their advisor and what actually gets delivered when it comes to estate planning. Rafael Loureiro, co-founder and CEO of Wealth.com, ran straight into the gap after a planning event of his own which should have been a coordinated process, felt fragmented, manual, and surprisingly opaque. And likewise, I recall the same type of disjointed experience in my own estate planning process. It’s experiences like these that became the starting point for building Wealth.com. What makes this story interesting isn’t just that they’re using AI but how they’re using it inside the estate planning process, and it’s how AI allows the model itself to change from a one-time legal event to something that evolves alongside the client, from static documents to a system that can actually interpret, update, and surface what matters, from a disconnected handoff to something the advisor can actively lead. In my conversation with Rafael, we get into how that plays out in practice, how tools like Ester move from summarizing estate documents to identifying gaps, to prompting next steps, and eventually preparing action on behalf of the advisor, because when AI moves from simply organizing information to helping drive decisions, estate planning stops being a periodic task and starts to look more like a continuous part of the advice process. So let’s dive in. Rafael, thank you for coming on our show today. Rafael Loureiro: My pleasure, Louis. Thank you for having me here. Louis Diamond: Of course. Let’s jump in and in researching you and speaking to you in the past, I got to admit, you had a very different path into the wealth management industry probably than anyone I’ve ever interviewed. So can you walk us through your background briefly and early professional endeavors? Rafael Loureiro: Absolutely. The accent that you hear is Brazilian. So I’ve been in the US for 25 years. I’m a software engineer by trade, came here as a HMB, been involved with different companies over the years and then most recently before Wealth.com. I was a chief technology officer with a fraud prevention company, nothing to do with wealth management, but by selling that company, it’s how the Wealth.com story started. Louis Diamond: Perfect. And I was referring to also some of your early career endeavors even before founding your last company, if you’re comfortable sharing that. Rafael Loureiro: Yeah, absolutely. I’ve been involved with four different startups in different spaces. One of them was in, if you remember all the way back to 2008, the real estate prices, the first startup with foreclosures. So when houses went into foreclosures, me and my partner, we created a system to index that. I also had work on a photo album company. It became a lifetime business. It’s still running. I was the CTO and I did my share of consulting. I used to work for Accenture, Avanade, and then a home builder Fortune 500 companies. So I have a ton of experience in the technology space before Wealth.com. Louis Diamond: Perfect. And you mentioned the last business that you started that I believe sold to LexisNexis. Can you walk through what that business was? Rafael Loureiro: Yeah. So I did not start the business. I joined the business before Series A. The person that started the business, Rei Carvalho, he’s actually Wealth.com chairman. So the team is still together. The US, San Francisco, New York, offices in Sydney, Singapore, London. We serve clients like Coinbase, grew very fast and then got acquired by LexisNexis in 2020 during peak COVID. Think about, we literally signed the documents, popped the champagne on March 2020. No vaccine. Louis Diamond: Oh, my God. Rafael Loureiro: We literally popped the champagne and we all went back home to work from home because that was the guy that’s from LexisNexis. Through that experience, selling a company, one thing you usually do, it’s a big liquidity event and estate planning is always related to big moments. You get married, someone in your family die, you have a new kid, you have a liquidated event. So I work with a financial advisor. They’re amazing. They helped me with financial planning, wealth management, saved me a lot of money insurance. But when it was time to do the estate planning, Louis, my experience was, “Hey, Rafael, we always work with this lawyer, go talk to the lawyer.” And then it was a completely broken process. First, because it was COVID and I had to go see the lawyer face-to-face. That was weird right there. Second, because I was expecting the lawyer to know everything about me because my advisor knows everything about me, know about my life situation, know about liquid event, know about my kids, rental houses, everything and then the engineer. I know what I told the lawyer, but do I know for sure that everything I told the lawyer end up in the document? No, I don’t. Long story short, otherwise it is a long story, we’re having a virtual coffee. I don’t know if you remember everyone, big beard, long hair, everyone working from home, and then somehow all the Emailage C-level team and founders, the co-founders, we start complaining about state plan. Even another example, my chairman, the Wealth.com chairman, Emailage CEO, Rei Carvalho, he was like, “Hey, Rafael, I’m done with the summer heat in Arizona. I’m moving to Denver. I’m going for cooler weathers.” Literally the moment he moved to Denver, he gets a call from his estate planning lawyer, welcome him to Denver and saying, “Hey, we need to update your documents. “But I just spent thousands of dollars creating my documents.” “Yeah, but you live in a new state, you have to optimize your documents.” At that moment, Louis, we’re like, “Where there’s a problem, there is an opportunity,” and the company was born. Louis Diamond: I find the best company origin stories, it’s you have that, you have a personal experience or a moment where you have a realization that t

In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)'s s For Your Informatics (FYI) podcast, Sabrina Hsueh and Li Zhou host AI safety and ethics expert Ray Eitel-Porter, Luminary and Senior Advisor for AI at Accenture and an Intellectual Forum Senior Research Associate at Jesus College, the University of Cambridge. Previously, he served as Accenture's Global Responsible AI Lead. Ray is the author of Governing the Machine and sits on several boards and councils advising on data analytics and strategy. In the interview, Ray shares how he was inspired to research responsible AI by data privacy concerns and how biased datasets harm models. He describes his objective as helping people understand the potential risks of emerging technologies in order to confidently use them. He discusses case studies from his book where companies successfully implement responsible AI practices in the workplace, and shares how his framework will be useful even as technologies continue to emerge and change. Finally, Ray offers some advice for younger professionals in AI and medicine.

LISTEN and SUBSCRIBE on:Apple Podcasts: https://podcasts.apple.com/us/podcast/watchdog-on-wall-street-with-chris-markowski/id570687608 Spotify: https://open.spotify.com/show/2PtgPvJvqc2gkpGIkNMR5i WATCH and SUBSCRIBE on:https://www.youtube.com/@WatchdogOnWallstreet/featured  Major layoffs at Meta, Accenture, and major banks are fueling fears that AI is rapidly replacing white-collar jobs. This segment explores the growing backlash against artificial intelligence, concerns over data centers and energy costs, the impact on education and critical thinking, and why many Americans are increasingly skeptical of AI's long-term consequences.

This week on Conflict Managed we welcome Shalin Desai. Together we explore: Trying to escape vs. learning the skills to navigate difficult situations Learning and practicing The Art of Living breathing What is within our control Training your mind The role of emotions at work The connection between breath and emotions Emotional regulation: how? Taking the mental “trash” out regularly Conflict Managed is available wherever you get your podcasts and on YouTube @3pconflictrestoration   Shalin Desai is the Director of Programs for the Art of Living Foundation, one of the world's largest nonprofit organizations, whose initiatives have positively impacted over 500 million people across 180+ countries. With more than 25 years of experience teaching breathwork and meditation, Shalin is known for integrating ancient wisdom with modern leadership and well-being practices. He also serves as Chief Revenue Officer of Sri Sri Tattva, a global wellness brand offering natural and Ayurvedic products that promote holistic health through a blend of tradition and science. For over 15 years, Shalin has designed and delivered corporate leadership and wellness programs for organizations including Microsoft, Dell, Boston Consulting Group, Accenture, Salesforce, Eli Lilly and Company, and Merck & Co. His work helps leaders and teams manage stress, build resilience, and cultivate mental clarity while reconnecting with a deeper sense of purpose. Shalin is known for his Intuitive Life Scan, a breakthrough approach in which trained guides provide unbiased insights into an individual's current situation. A highly engaging speaker known for his relatable storytelling and humor, Shalin inspires audiences with practical techniques they can apply immediately to improve focus, leadership, and overall well-being. Shalin holds a degree in Supply Chain Management from the State University of New York and lives in Indianapolis with his wife and two children. Conflict Managed is produced by Third Party Workplace Conflict Restoration Services and hosted by Merry Brown.

(0:00) Intro (1:47) About the podcast sponsor: The American College of Governance Counsel (2:34) Start of interview  (4:12) Laurie's origin story (6:19) From Management Consulting (Accenture) to Product Innovation (Visa). "What they all had in common was that I got to start with a blank sheet of paper." (8:52) Toward Venture Capital and Board Governance. From Sun Microsystems to Packet Design to investing. (13:07) How she got interested in board governance. Her first board experience with Interactive Investor (cross-listed in US and UK) (14:27) Joining Playground Global in 2019 (16:16) Tesla's Day-Zero Board (20:15) Zoox and Autonomous Ambition (24:11) Boards Across Company Types: VC-backed companies and family businesses. Example of her time as board member at Bose. (27:57) Lessons from Church and Dwight. The roles of M&A and marketing. (30:37) Her co-authored paper on The Artificially Intelligent Boardroom (Stanford GSB)  (35:30) Private Markets and Trillion-Dollar Valuations (40:28) The role of private equity in this environment, and its distinctive board structure. (42:55) Geopolitics and Supply Chains (47:20) Cybersecurity Oversight in the AI Age (50:45) Courage in the Boardroom. “As board members, we have to be courageous enough to ask the right questions at the right time, rather than sit back and hope everything will be okay.” (52:22) Books that have greatly influenced her life: Night Train to Lisbon, by Pascal Mercier (2004) The Immortal Life of Henrietta Lacks, by Rebecca Skloot (2010) Sapiens: A Brief History of Mankind, by Yuval Noah Harari (2011) (54:14) Her mentors: Heidi Roizen  Scott McNealy Peggy Johnson (56:49) Quotes that she thinks of often or lives her life by. "It is easy enough to be pleasant, when life flows by like a song, but the man worth while is one who will smile, when everything goes dead wrong." Ella Wheeler Wilcox (57:32) An unusual habit or an absurd thing that she loves. Dancing, after following research from Kelly McGonigal. Hummingbird feeders. (59:39) The living person she most admires: her husband, Ben Lenail. Laurie Yoler is a venture capital investor at Playground Global, former board member at Tesla and Zoox, and a director or advisor to more than 25 boards. She currently serves on the boards of Church & Dwight and the NACD Northern California Chapter. You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

In May 2026, OpenAI and Anthropic launched a combined $5.5 billion assault on the $375 billion enterprise consulting market. OpenAI's $4 billion "DeployCo" targets Fortune-scale giants by directly embedding engineers into client teams, while Anthropic's $1.5 billion venture focuses on mid-sized companies. Both tech giants realize that great AI models aren't enough—the real competitive advantage and money lie in actual implementation. They are no longer just building models, but transforming into a new kind of consulting firm to directly compete with heavyweights like McKinsey and Accenture.2026年5月，OpenAI 與 Anthropic 豪擲 55 億美元，聯手突襲價值高達 3,750 億美元的企業顧問市場。OpenAI 斥資 40 億美元成立「DeployCo」，主攻大型企業並將工程師直接派駐客戶端解決痛點；Anthropic 則透過 15 億美元的合資企業鎖定中型公司。兩大 AI 巨頭皆看清殘酷現實：光有最強的 AI 模型已經不夠，真正的商機與競爭優勢在於將 AI 成功落地實作。他們正從單純的模型供應商，正式轉變為麥肯錫與埃森哲等傳統顧問巨頭的致命競爭對手。

This episode of the InfoSec Beat podcast focuses on the cybersecurity ecosystem. Accenture CISO Kris Burkhardt talks with Rex Thexton, the chief technology officer for Accenture Cybersecurity. In his role, Rex oversees Accenture's relationships with cybersecurity vendors. Hear his in-the-trenches perspective on big trends in the space including consolidation, AI as a forcing function and tool fatigue. Don't miss Rex's advice on how to make ecosystem partner decisions and measure if a partner is truly making an impact or just adding complexity.

The Accenture agency acquisition is still in progress. Five AI tuck-ins closed this week across fintech, crypto, process mining, hardware, and spend management. And three deals that tell you everything about where the lower middle market is heading right now.Christian and Ayelet are back for Deal Review Friday — and this one is packed.Three deals. Five AI tuck-ins. One major tease still in progress. Running a little over 15 minutes. Worth it.⏱️ TIMESTAMPS0:00 — Welcome, May 15th 2026, and what's on the agenda0:45 — Accenture update: deal still in progress, silence is golden1:42 — AI tuck-in #1: Carta acquires Avantia — AI-native legal services + UK international play3:47 — AI tuck-in #2: MoonPay acquires Dawn Labs — autonomous AI trading agents5:38 — AI tuck-in #3: Celonis acquires Ikigai Labs — MIT spin-out, AI professor joins as chief scientist7:30 — AI tuck-in #4: Nominal acquires Fid Labs — AI agents connecting to dev environments and physical hardware8:20 — AI tuck-in #5: Coupa acquires Rossum — document ingestion layer completes source-to-pay stack8:39 — Deal #1: Brands at Work acquires Chorus — two London independents bet on integrated model9:45 — Why experiential has shifted from discretionary to core marketing strategy11:53 — Two independents, no banker, no PE: why this deal is worth celebrating13:05 — Deal #2: Smartly finalizes acquisition of INCRMNTAL — LOI to close in 7 weeks13:30 — What INCRMNTAL actually does and why Smartly needed it15:26 — Smartly manages $7B in media spend — and now has the measurement layer to match16:00 — Props to the INCRMNTAL founders and Smartly's Head of Corp Dev17:16 — Deal #3: OpAd Media acquires Broad Agency — two women-owned independents join forces18:30 — How Carrie Kerpen brought the two teams together at dinner19:30 — Ayelet was at the table when it happened20:30 — Same theme as Brands at Work / Chorus: independents on their own terms21:01 — Girl dinner confirmed. Christian not invited.21:57 — Wrap + episode 60 reminder

368: Before You Merge: Five Factors Every Nonprofit Leader Must Weigh (Staci Barfield)Episode SummaryFor too many nonprofit leaders, the word “merger” lands like a verdict, a sign something has gone wrong. Staci Barfield, Senior Director of Consulting Excellence at Armstrong McGuire in Cary, NC, argues the opposite: a merger belongs early on a leader's strategic menu, not at the end. Drawing on her work facilitating the Arise Collective and MATCH (Mothers and Their Children) merger, Staci walks Patton through the full continuum of collaboration and unpacks the five factors every leader should weigh: mission alignment and strategic rationale, organizational and cultural fit, governance and leadership readiness, financial health and due diligence, and capacity to manage change while continuing to serve. She makes the case that funders are increasingly convening these conversations and that the strategic exercise itself has value even when it doesn't end in a merger. Listeners walk away with a practical framework for assessing any form of collaboration, and a sharper read on when a merger isn't a retreat but a way to magnify mission.About StaciStaci Barfield is Senior Director of Consulting Excellence at Armstrong McGuire, where she leads the methodologies, tools, and resources that equip the firm's advisor team to deliver consistent, high-impact client work. She came to the philanthropic sector after a long corporate career in information technology and business process improvement at Gap, Inc., Andersen Consulting (now Accenture), Sprint, AT&T, and Springs Industries. The pivot was catalyzed when a Hurricane Katrina deployment with the American Red Cross showed her that her business skill set translated directly to mission-driven work. From there she went on to serve as Vice President of Development for the National Multiple Sclerosis Society, Eastern NC Chapter, Executive Director of National Students of AMF, and CEO of Children's Flight of Hope, before joining Armstrong McGuire. Across all of it, Staci has been driven by the same instinct: maximizing an organization's opportunities for success through both strategic and operational initiatives.ResourcesConnect with Staci on LinkedInCase study referenced in the episode: Arise Collective + MATCH (Mothers and Their Children)Shared services model referenced in the episode: Ascend Nonprofit Solutions (Charlotte, NC)Companion episode: #350 with Andre Anthony: What Every Nonprofit Leader Needs to Know About MergersStaci's book recommendation: I Never Thought of It That Way: How to Have Fearlessly Curious Conversations in Dangerously Divided Times by Mónica GuzmánFollow Your Path to Nonprofit Leadership and please leave a review!Learn more about Staci's work and leadership resources at Armstrong McGuire (ArmstrongMcGuire.com)

Kevin Werbach speaks with long-time responsible AI leader Rumman Chowdhury the current environment, in which substantive standards and oversight efforts for AI are taking shape amid a larger anti-regulation wave. Chowdhury distinguishes sharply between frontier labs, where the posture is largely "AI at all costs," and the non-tech enterprises she works with, who are wrestling with how to scale governance bodies that originally reviewed single AI implementations to hundreds of systems, third-party procurement questions, and agentic workloads. She describes the current evaluations market as immature on nearly every dimension, and explains why generic benchmarks rarely translate to enterprise contexts like insurance or auto manufacturing. The conversation then turns to AI's impact on work and education. Her concern is that companies pursuing short-term efficiency by cutting entry-level hiring will face what MIT researchers Caosun and Aral call the "augmentation trap," in which workers' cognitive skills atrophy while new workers never develop them. She offers "discernment" as her 2026 word of the year, discribing the skill -- more than just critical thinking -- we must cultivate and defend. Her new podcast and forthcoming book, Thinking About Thinking, argues that our notion of intelligence was built for an Industrial Revolution workforce we are now automating away. Dr. Rumman Chowdhury is the founder of Humane Intelligence PBC, building modular, tool-agnostic AI evaluation infrastructure for enterprise and real-world contexts. She co-founded the nonprofit Humane Intelligence in 2022 and served as its CEO until 2025. She previously was Director of the Machine Learning Ethics, Transparency, and Accountability team at Twitter, founder of the algorithmic audit platform Parity, and Global Lead of Responsible AI at Accenture, where she built one of the first enterprise-level bias detection tools. She has served as U.S. Science Envoy for AI and as a Responsible AI Fellow at Harvard's Berkman Klein Center, and holds a doctorate in political science from the University of California, San Diego. Transcript Virginia SB 384 / HB 797 — Independent Verification Organization legislation (Fathom) The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading Open to Debate: Will AI Make Work Obsolete? Why AI evals need to reflect the real world (Transformer)

What does it mean to operate as an integrated firm in the age of AI? In this episode, Keri Smith, Global AI & Data Lead for Banking and Capital Markets at Accenture, speaks with Mandell Crawley, EVP and Chief Client Officer, and Dan DeDora, Lead, Integrated Client Intelligence and Head of FID Client Strategies at Morgan Stanley, on how AI is transforming client experience, from data activation to breaking down silos, and why true transformation starts with people.

For this episode, let's revisit a Case Interview & Management Consulting classic where we speak about resume cliches across firms. Editing out cliches from Deloitte and Accenture resumes tends to take up the majority of time when we work with candidates from these firms, and the other accounting firms like PWC, E&Y and KPMG. Typically, when we start the editing sessions, it is very difficult for the client to see how vague and misleading their resume really is. This podcast explains this concept and can be used to edit your own resume. Here are some free gifts for you: Overall Approach Used in Well-Managed Strategy Studies free download: www.firmsconsulting.com/OverallApproach McKinsey & BCG winning resume free download: www.firmsconsulting.com/resumepdf Enjoying this episode? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo

Most banks think they have an attrition problem under control because the closure numbers still look healthy. But customers are not leaving the way they used to. They are opening accounts at Chime, SoFi, Robinhood, Cash App, and Acorns while keeping their old bank relationship open. The direct deposit stays, and the account stays active, and even the dashboard says everything is fine. Meanwhile, more spending, more engagement, and more deposits quietly move somewhere else. In this episode, I break down what I call “silent attrition” and why the first outbound transfer matters more than the eventual account closure. Using data from J.D. Power, Cornerstone Advisors, Accenture, and a real-world engagement with a $10 billion institution, I explain why traditional retention metrics no longer reflect customer reality, how challenger brands are winning share of wallet without triggering alarms, and what banks can do right now to identify customers who are already halfway out the door. Because by the time the account closes, the relationship has usually been gone for years. #Banking #DigitalBanking #Fintech #CX #AI #CustomerRetention #attrition #BankTransformation

How can organizations use executive assessments to make better decisions?Why do you need to build your Executive Assessment fluency to have more impact as an HR leader?My guest on this episode is Mina Morris, Managing Director and Head of Assessments at AccentureDuring our conversation Mina and I discuss the following: Why executive assessment should start with business strategy, not tools, models, or methodologies.How using multiple data sources creates a more complete and accurate view of executive talent.Why executive assessment should be the start of the development conversation, not the end.How executive assessment helps organizations identify “diamonds in the rough” within their leadership pipeline.Why executive assessment without development is just measurement. Connecting with Mina: Connect with Mina on LinkedInEpisode Sponsor: Next-Gen HR Accelerator - Learn more about this best-in-class leadership development program for next-gen HR leadersHR Leader's Blueprint - 18 pages of real-world advice from 100+ HR thought leaders. Simple, actionable, and proven strategies to advance your career.Succession Planning Playbook: In this focused 1-page resource, I cut through the noise to give you the vital elements that define what “great” succession planning looks like.

FranBridge is led by its Founder, Jon Ostenson, a top 1% Franchise Consultant in the US, and frequent contributor on franchising across a variety of outlets and publications. Jon is a multi-brand franchisee himself, and along with his business partners, he has great operators leading these ventures. As a result, he is able to commit over 90% of his time to helping others achieve their own dreams of freedom and wealth generation through business ownership. Prior to FranBridge, Jon was the President of ShelfGenie, a national franchise system with 200 locations. Before he had his start in franchising with ShelfGenie, Jon spent 15 years in the corporate world, most recently as the Vice President of Sales for Carter's Inc., responsible for over $350M in annual sales. Jon began his career as a Consultant with Accenture, often working Internationally on behalf of clients. Jon serves on the Board of the Entrepreneurs Organization and is active in supporting charitable organizations such as Growing Leaders and Hope International. Jon has BBA and MBA degrees from the University of Georgia and lives in Atlanta where he and his wife, Jenny, have 3 children and are very active in the community. Check out FranBridge Consulting for premier non-food franchise opportunities: travischappell.com/franbridge Learn more about your ad choices. Visit megaphone.fm/adchoices

With AI promising to accelerate everything, is the most important role for a leader now to be the one who knows when to hit the brakes? Agility requires a balance between the rapid adoption of new technologies and the strategic wisdom to know which ones will actually deliver customer value. It's less about moving fast and more about moving in the right direction. Today, we're going to talk about how AI has permanently changed product development. But while it enables teams to tackle more problems faster than ever, the real challenge has shifted to keeping pace with rising customer expectations. This new landscape requires a shift in product leadership—from simply adopting trends to discerning real value, and using human judgment and creativity to decide where AI can make the biggest impact, and where it's just noise. To help me discuss this topic, I'd like to welcome, Kevin Wang, Chief Product Officer at Braze. About Kevin Wang Kevin Wang is the Chief Product Officer at Braze, where he leads the definition of Braze's product roadmap and R&D efforts, as well as managing and scaling the Product Management and Product Design teams. Kevin joined Braze as its fifth employee in 2012, helping to build the first product sold to customers and the early engineering team. He's since held a variety of roles across product management, engineering, engineering management, and technical recruiting. Prior to Braze, Kevin was a consultant at Accenture focusing on the energy sector. Kevin holds a B.S. in Brain & Cognitive Sciences from MIT. Kevin Wang on LinkedIn: https://www.linkedin.com/in/kevin-wang-96131916/ Resources Braze: https://www.braze.com/ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://aglbrnd.co/r/d15ec37a537c0d74 We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company