Podcasts about implementing ai

The speed and magnitude of AI implementation at the firm level will help determine its overall impact on growth, productivity, and employment. Survey evidence shows CFOs' approach to AI integration varies based on how they assess the risks and potential benefits of the innovative technology. In this episode, we talk with John Graham, Professor of Finance at Duke University's Fuqua School of Business, about what's driving CFOs' decisions on AI spend, the impact on productivity and employment thus far, and parallels with the late-1990s desktop computer revolution. Simply Put: Expert perspectives on the trends influencing fixed income, banking, and the macro landscape, hosted by FHN Financial's Macro Strategist, Will Compernolle. Tune in to better understand what's moving the markets and what to keep an eye on in the weeks and months ahead. Listen and subscribe wherever you get your podcasts.

Pablo Gonzalez of Vendoroo joins us to discuss how AI is changing the way real estate investors and property managers operate and scale their businesses! Pablor shares insights on raising capital and building communities before diving into how AI can be implemented in real estate operations. He breaks down how Vendoroo uses AI to coordinate maintenance, understand tenant sentiment, and help property managers operate more efficiently. Pablo also discusses when it makes sense for landlords to implement these tools and shares his outlook on the future of property management as AI continues to evolve! If you enjoy today's episode, please leave us a review and share with someone who may also find value in this content! ============= Connect with Mark and Tom: StraightUpChicagoInvestor.com Email the Show: StraightUpChicagoInvestor@gmail.com Properties for Sale on the North Side?  We want to buy them. Email: StraightUpChicagoInvestor@gmail.com Have a vacancy? We can place your next tenant and give you back 30-40 hours of your time. Learn more: GCRealtyInc.com/tenant-placement Has Property Mgmt become an opportunity cost for you? Let us lower your risk and give you your time back to grow. Learn more: GCRealtyinc.com ============= Guest: Pablo Gonzalez, Vendoroo Link: Pablo's LinkedIn Link: Vendoroo Property Maintenance Call Test Link: Play Bigger (Book Recommendation) Link: JWB Real Estate Capital Guest Questions:  02:22 Housing Provider Tip - Leverage AI and other tools to improve maintenance requests response time! 03:24 Intro to our guest, Pablo Gonzalez! 14:54 Strategies to raise capital. 26:45 How to build and leverage a community to grow your business. 36:20 Implementing AI to scale a business. 41:22 The value of Vendoroo!                                                45:40 Understanding tenant and client sentiment. 49:25 At what unit count does it make sense to implement Vendoroo? 53:32 The future of the property management industry. 60:40 What is your competitive advantage? 61:17 One piece of advice for new investors. 62:47 What do you do for fun? 63:20 Good book, podcast, or self development activity that you would recommend?  63:44 Local Network Recommendation?  65:25 How can the listeners learn more about you and provide value to you? ----------------- Production House: Flint Stone Media Copyright of Straight Up Chicago Investor 2026.

Jake Hoffman of Gnosis Freight talks about AI – trust; misconceptions; data; asking the right questions; measuring success; & why the real innovation isn't AI. IN THIS EPISODE WE DISCUSS: [03.08] The biggest misconceptions people have about AI in logistics. "There's a big misconception that AI itself is the differentiator, that if you have good AI that means all your problems go away. AI is just an amplifier of whatever is underneath the surface… People are learning that the hard way." [04.16] What being an AI-native company means for Gnosis Freight, why they've changed how they talk about AI, and how AI changed their understanding of how software would become cheaper and easier to build. "We use it so we can make ourselves better, so we can do more for the customer." [07.56] The origin of the name 'Gnosis'. [10.41] With more and more logistics platforms adding AI features, whether AI itself is becoming a commodity, and why real innovation isn't AI, it's the infrastructure behind it. "If you're not using it, you're behind… But sometimes it becomes a checkbox." [16.19] If AI is only as good as the data it's trained on, what separates good logistics data from bad logistics data. "It's a bunch of people optimizing a local system for a local maximum or minimum, but there's nobody that's orchestrating the entire thing to give you the entire system maximum and minimum." [18.59] As AI pilot failure continues to be a big issue, the questions companies should be asking vendors as they evaluate AI-powered logistics platforms, and the new strategies they should be embracing. [23.31] How companies should measure AI success – not just celebrate the launch of AI initiatives. [25.46] Where Gnosis sees AI making a measurable impact on cost, efficiency, and margins in logistics. [31.47] What autonomous execution looks like in practice for logistics teams, and which logistics processes are closest to being fully automated with AI today. [33.36] What needs to happen before businesses can trust AI to make operational decisions on its own. "Implementing AI with the right guardrails is key… Often our first implementation is a recommendation, not a final decision." [37.29] How AI will change the role of logistics professionals. [40.32] Jake's advice for supply chain leaders looking to invest in AI over the next few years. "Don't buy the product, buy the system. Don't pick the software solution, pick the partner." RESOURCES AND LINKS MENTIONED: Head over to Gnosis Freight's website now to find out more and discover how they could help you too. You can also connect with Gnosis and keep up to date with the latest over on LinkedIn, Instagram, Facebook and X (Twitter), or you can connect with Jake on LinkedIn. Check out our other podcasts HERE.

After two years in the host's chair, Glenn Hopper passes FP&A Today to its new host, Sarah Schlott:  a 20-year FP&A leader. The two swap stories on their unlikely paths into finance (including Glenn's forgotten 2006 indie film ), then dig into what's next for the show: more curiosity, more challenging of FP&A's "sacred cows".    Glenn's new book: The AI-Ready CFO: A Strategic Guide to Evaluating and Implementing AI, Automation, and Analytics https://www.amazon.com/AI-Ready-CFO-Evaluating-Implementing-Automation/dp/1394415885   Two recommended follows for AI content  https://www.youtube.com/@AIDailyBrief   https://www.youtube.com/ ⁨@matthew_berman⁩    

In this episode of Great Question: A Manufacturing Podcast, Smart Industry's Sarah Mattalian talks with Mike Fedorov, COO and co-CEO of Applied AI Labs, who discuss why AI implementations often fail to deliver expected results. They explore how manufacturers can work with the muddy waters of imperfect data, establish effective governance, and design AI solutions around measurable business outcomes.  The conversation concludes with a look at AI as a tool for amplifying human capabilities rather than replacing them.

Don’t miss the AI partnership revolution Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this episode, Vince Menzione sits down with Amit Sinha from WorkSpan and Marc Monday from ServiceNow to dissect the rapid evolution of AI-native partnerships and the shifting dynamics of the channel ecosystem. They explore how the hyperscaler co-sell model has transformed into a complex strategy of asymmetrical collaboration that demands unprecedented speed, simplicity, and scale from publishers. By integrating AI agents to orchestrate workflows, manage high-risk renewals, and automate low-dollar deals, companies can activate their sellers and drive explosive, exponential growth in their partner programs. https://www.youtube.com/watch?v=ZP4cFBcCI9Q Key Takeaways The partner channel is no longer just a piece of the strategy; it is the entire strategy for winning in 2026. Modern co-selling is an asymmetrical collaboration where publishers must often do more than fifty percent of the heavy lifting. Implementing AI agents within partnerships can lead to massive revenue impacts, such as a 24% higher lift on renewals for companies like Boomi. True scaling requires moving beyond traditional time-and-materials consulting toward outcome-based frameworks for customers. Activating sellers through continuous AI-driven account orchestration is the ultimate key to unlocking exponential ecosystem growth. The market is moving faster than ever, necessitating that partner enablement and roadmaps shift to agile, sprint-based cycles rather than long-term rigid plans. 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 native, ecosystem shifting, hyperscalers, Work Span, ServiceNow, lifecycle incentives, cloud native, consumption led, DocuSign, Gong, Boomi, workflow orchestration, asymmetrical collaboration, CRM integration, marketplace private offers, high propensity, seller activation, agentic solution, outcome based consulting, LLM control tower. Transcript Amit Sinha and Marc Monday Audio Episode [00:00:00] Marc Monday: We have to be soup drop dead simple and we’re gonna talk about that nice. In this world. It has to be simple. Even though under the covers it’s very complicated, [00:00:10] Vince Menzione: you can feel it happening. The ecosystem is shifting beneath us. The way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:21] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:43] Vince Menzione: It is the strategy because being in the room [00:00:46] Marc Monday: changes everything. Let’s start. [00:00:52] Vince Menzione: And, uh, two incredible friends up on, uh, up on stage. But I think I’m just gonna have my, one of my first friends come up. Amit Sinha from Work Span, a great, great friend and supporter. We’ve been together since the beginning, since the very first ultimate partner in Dallas when we commandeered Microsoft facility. [00:01:12] Amit Sinha: Yeah, [00:01:12] Vince Menzione: you have a little bit that you’re gonna share first and then we’re all gonna come join you. [00:01:16] Amit Sinha: Absolutely. And [00:01:17] Vince Menzione: then we’re gonna have my other great friend, mark Monday on us on stage with us as well. So yeah, [00:01:21] Amit Sinha: what a privilege. Uh, what a privilege. Vince, you do an amazing job as a community and, uh, incredible. [00:01:27] Amit Sinha: Shout out to Alexandra. Uh, we work together at Cisco talking about lifecycle incentives across the whole lifecycle. So amazing work done there as well. So. Very quickly, I’m gonna talk to you about AI native partnerships. A quick motivation. That’s me. Of course, we are using Nano banana to cover that. [00:01:45] Amit Sinha: That’s me looking up a Yellow Pages. I will date myself. That’s, uh, McDonald’s coming to India and me looking up, uh, the nearest McDonald’s, right? And this is me now booking Uber Eats Ma and I had this real experience yesterday night. I flew in from Sapphire in Orlando and I was hungry. Ma said, let’s, let’s get Uber Eats. [00:02:06] Amit Sinha: And we had a great. De this is digital native, right? We had no idea the world would transform this way, but completely new ways of working. Okay. Um, and, uh, another great experience that Mike, my co-founder and CEO seated the back half, I spent a decade at SAP, uh, doing hana, which was a database product, but it was on premise. [00:02:28] Amit Sinha: We had these racks and our whole gig was actually take an amazing HANA database with this server mounted, deployed. Wow. The CIO and the CFO, that this is the most amazing thing. And they would not say, Hey, you can’t take that box away, because it’s such a good insight that I get for my, uh, analytics product, right. [00:02:47] Amit Sinha: So that’s the old way. And look at us. We are all cloud native, right? Cloud has gotten to a place where it’s not just about infrastructure, running things and meters and stuff like that in a scalable way. It is a also source of innovation. New capability, new business model, consumption led business model. [00:03:07] Amit Sinha: Whole new way of working, right? So this comes to the new world now, what does AI need to look like? We heard all the amazing speakers talk about, uh, you know, the promise of ai, right? But you have a choice. Uh, you have a choice to do it yourself or, uh, especially as partnership professionals, right? When you do it yourself, you have this chat bots and stuff that you get from all the major. [00:03:33] Amit Sinha: You can always get more productive, but that’s about half an hour saved. The bar is too low there. So this is an amazing piece of, uh, research put together by all the experts. Vince, thank you for doing that. Uh, we had Jay McBain lend his voice as well. We had Rob Moyer with all his, uh, decades of, you know, insight and wisdom as to what would the future with AI look like, uh, encapsulate in that. [00:03:57] Amit Sinha: So go ahead, take a picture. Uh, this is not gated. Um, beautiful piece of content has also new insights from leading firms. AI native, I would dare say frontier firms who are like DocuSign or Gong who are really pioneering AI native partnerships, Boomi, and how they’re powering their renewal business case across AWS Google and Microsoft Marketplaces. [00:04:21] Amit Sinha: Uh, this really talks about that. And here, uh, this is the thought leadership that we bring to the table. And again, this is not a vendor pitch. This is, you know, as you elevate from the low bar about making yourself productive where you’re cut and paste, uh, into a chatbot, your context so that you can get a better co-sell email out there. [00:04:40] Amit Sinha: You DIY, this thing. But if you think of working with works span, these are three things that you should think about. First is imagine instead of cut and paste, you have your entire partnership context right there. And because the context is there, the right better together story, the right case study, the right partnership documents, the right opportunity and accounts that intelligence not only informs you, but also your team in a, in an extended way, and even your partnership in an extended way that’s fully automated. [00:05:13] Amit Sinha: Second is it’s not just informing you or sensing you, it is also acting. And I think this is where there are, you know, death by a thousand cuts if happening in the world where all this time gets taken up, right? But if you have an agent that scales in ly, whether you are big mature partnership, you got lots and lots of accounts and opportunities to cover, the agent can do that. [00:05:36] Amit Sinha: Or if you’re a new partnership, how do you get to market quickly? With the right assets, the right get to market content. This can work both ways. And lastly, how do you secure this partnership is done in trust. So you should have an agent for every partnership, uniquely your partnership with Microsoft, your partnership with ServiceNow, your partnership with uh, AWS and Google. [00:05:59] Amit Sinha: They all get a different agent. And the point here is these agents can work in a circle of trust and the boundary that gets established. So via work span, come talk to us outside. And with that, Vince, let’s uh, bring Mark along. Come on, mark. [00:06:17] Vince Menzione: Alright. I am gonna have you and then Mark, uh, yeah. Want mark in the middle? [00:06:22] Marc Monday: Oh, uh oh. [00:06:24] Vince Menzione: So, uh, let me move over so I get back to the picture slide. Look at those two handsome gentlemen up there. Uh, thrilled to have you Mark as well. Uh, for those of you who don’t, because you’ve been, you were just in Boca with us this Yeah. This winter. [00:06:39] Marc Monday: That’s right. [00:06:40] Vince Menzione: And, uh, tell us about your new role at ServiceNow. [00:06:43] Marc Monday: Well, I have the absolute privilege of leading the partner channel at ServiceNow. Yeah. Um, it’s comprised of our partner programs, our program gives and gets, and importantly our five routes to market, our consulting and implementation partners, our resell partners, our service provider partners, our hyperscaler partners, and importantly our build partners. [00:07:03] Vince Menzione: I love it. I love it. So let’s talk about the partner programs and why they’re so critical to ServiceNow right now. [00:07:08] Marc Monday: I think in this world scale is everything, and so this profession has always been a bit mercurial and a little bit of a black box for organizations. What does the partner team do? What does that look like? [00:07:21] Marc Monday: But what we have to continue to do is explain, this is your force multiplier. Working together in collaboration helps you scale beyond your individual numbers. And that’s really the thing that we’re focused on is how do we drive that? And I have three big things that we have to focus on is we have to be sup, drop dead simple, and we’re gonna talk about that [00:07:40] Vince Menzione: nice. [00:07:41] Marc Monday: In this world, it has to be simple. Even though under the covers it’s very complicated. We have to be incredibly fast. Agility is the key in this very moment. And then as I said, with that becomes the scaling element and the force multiplier. [00:07:56] Vince Menzione: And you have spent many, you, well, we both worked at Microsoft together. [00:07:59] Vince Menzione: It’s [00:07:59] Marc Monday: true. [00:07:59] Amit Sinha: Way back way. [00:08:00] Marc Monday: I feel like you’re punking me having me right before lunch. Like I remember back at Microsoft, you did something to me, so I’m gonna have you right before lunch. [00:08:07] Vince Menzione: It’s, no, it’s really terrific to have you. But, uh, so yeah, you, you mentioned about like the change and the specificity and the clarity around it. [00:08:16] Vince Menzione: Amme you have, uh, broken the model, so to speak, working with ServiceNow, right? Yeah. You went from being a traditional. I’ll call it co-sell Engine Marketplace Company. Uh, tell us, tell us, tell us about the innovation that’s going on in the room. We’re working with ServiceNow. [00:08:31] Amit Sinha: Absolutely. Uh, when you think of co-sell, the first mine goes to just co-sell with the hyperscalers, right? [00:08:36] Amit Sinha: Because they kind of pioneered and started this in a unique way. We, of course, got started with Microsoft eight years ago, doing not just co-sell and P two P, but since then AW S and Google right. You would be surprised to know that we do about 10% of AWS sales through work, expand co-sale. Right. Just [00:08:53] Vince Menzione: wow. [00:08:53] Amit Sinha: But that’s where we started. Where we ended up is really looking at all partner types and all motion types and. Mark and I disagreed and he, he really pushed me hard on this. Yeah, and the point here is if you look at your build partner motion, it’s also a co-sell. You build, then you co-sell and go to market, [00:09:11] Vince Menzione: right? [00:09:12] Amit Sinha: If you think about your services partners, right? You have a product. They have amazing last mile services and digital transformation. Uh, capabilities, and again, there’s a coastal motion there. So where we world works span eventually was not just coastal with hyperscalers, but across all partner types. And Mark, thank you for pushing us on that. [00:09:31] Amit Sinha: Yeah. And being a pioneering partner on works span with us. I really appreciate [00:09:34] Marc Monday: this. It was a fun rumble we got there. [00:09:37] Vince Menzione: So why does it matter now for ServiceNow specific? [00:09:40] Marc Monday: Yeah. I mean the reality is, um, I’m gonna say something provocative. We’re, we’re all friends. Yeah. Um, Cosell iss probably a misnomer. It’s not a 50 50 coequal relationship. [00:09:53] Vince Menzione: Yeah. You don’t walk in together holding it back. [00:09:55] Marc Monday: It’s asymmetrical collaboration. I love that. And I want to put the stake in the ground. The co-sell motions that have been created by the hyperscalers are wonderful. The pipe has been opened, but the reality is the publisher. Has to do a lot of the work and the systems are there, but the key is not just connecting into partner center as an example. [00:10:16] Marc Monday: Yeah. But building your own infrastructure and processes. That’s where the magic comes together, and that’s where we really drive scale. And so if we approach co-selling is asymmetrical collaboration and recognizing that you probably need to do more than 50%. When a, when a a team collaborates on co-authoring a book, it’s not like someone’s writing every other word, and it’s exactly 50%. [00:10:40] Marc Monday: Or if a pilot, a co-pilot is with a pilot on a plane, they’re not doing exactly 50% of the work’s, [00:10:46] Vince Menzione: right? No. [00:10:47] Marc Monday: This asymmetric approach requires that we do a lot of the work on our side. Yeah. And that’s where AM and team have really helped us a ton. [00:10:55] Vince Menzione: And ServiceNow was known as a ticketing solution back in the day. [00:10:58] Vince Menzione: Right. And you’ve kind of, I mean, it it, it started that way. [00:11:01] Marc Monday: We have a wonderful heritage 20 plus years Yeah. Of workflow orchestration. Yeah. And in a diggen world, what are we really doing? We’re orchestrating workflows, and importantly, we need to govern those workflows and we need to sequence them in a meaningful way. [00:11:17] Marc Monday: And so our vision of a control tower across any hyperscaler, any LLM, any workflow, any system of record, any time, that’s the key to everything. [00:11:27] Vince Menzione: And so now you’ve taken the work span approach and driven it across what I see, like taking, taking this. This stack, we’ll call it. Yeah, the tower. Yeah. And then applying all of the methodologies and best practices on what we’ve called co-selling and ecosystem orchestration, essentially is what it really is. [00:11:46] Amit Sinha: Absolutely. [00:11:46] Vince Menzione: Yeah. [00:11:47] Amit Sinha: Yeah. And we are thrilled to partner with ServiceNow on this. So ServiceNow, as you guys know, uh, release their CRM product. So we got in at the ground floor on that opportunity and with the now assist agents as well. What we’ve really built is an integration between work span as a platform. [00:12:03] Amit Sinha: And ServiceNow, CRM as well. So if anybody is using that all the way from ServiceNow opportunities to Marketplace private offers, you can a genetically do that. Of course you can do it on Salesforce Hub, spot and Dynamics, but now ServiceNow is an additional option on that. I wanna really double click though, mark, on your point around asymmetry around this, when we say six to seven partners are gonna surround the end customer, right? [00:12:27] Amit Sinha: Yes. They will come at different points in time. Yes. Right? And they will also have different roles to play. So just as you think of a team, right? A soccer team for that matter, or a football team, pick your analogy right. Not everybody’s equal. Right? There’s always a qb. There’s always somebody who holds the prime on the deal. [00:12:45] Amit Sinha: There’s always a role to play. [00:12:46] Marc Monday: Yeah, [00:12:47] Amit Sinha: and I think what’s beautiful about our partnership here is when you look at it applied to services partners, it’s about building billion dollar businesses around ServiceNow, using their competency, but knowing the kind of joint accounts you need to go pursue in order to. [00:13:03] Amit Sinha: You know, burn down their inventory or, or co-sell alongside. If it’s the build partner, it’s about attacking an industry vertical or a joint account there. Right? So knowing very intelligently who to partner with and when to bring them on is the AI orchestration that is key in this partnership [00:13:19] Vince Menzione: here. Yeah. [00:13:19] Vince Menzione: So important. ’cause you, it isn’t single threaded this, this asymmetrical approach. [00:13:24] Amit Sinha: Right. So [00:13:25] Vince Menzione: incredible. You just ha you just finished your big event. I was hoping I did spare Share with us a little bit of your perspective on what’s been changing and how your ecosystem is evolving. Uh, I had Jen Odes in the studio. [00:13:38] Vince Menzione: That’s right. As you know, back in the fall. Fall, go back and watch it again. Yeah, it’s available. Great. Great podcast interview. Yeah. And you’ve been on stage at our events before and we’ve had that as a podcast, but take us how things are changing from the partner type perspective. We have MSPs in the room. [00:13:53] Vince Menzione: I know MSPs are, I know again, hands on the steering wheel. So important, right? Yeah. This technology is so complex. How are you thinking about ecosystem in your role? [00:14:03] Marc Monday: Yeah, I said earlier it’s about simplicity, speed, and scale. Yeah. Last week we had our big customer event knowledge, and on the first day we had our partner event. [00:14:13] Marc Monday: I think the biggest thing that’s happening right now is the pace of change is a bit overwhelming at times. And keeping pace with that is super critical. So what we’ve tried to do and what we announced last week was a lot of investment in giving our channel partners the exact same tools that we use in our business, right? [00:14:32] Marc Monday: So we were really focused on. Um, delivering business value. And so we took our, the solution that we use or the tools that we use for, um, delivering, uh, business value through our partners. It’s an assessment tool. Um, we’ve syndicated that to our partners. We’ve made that available. We also put a little bit of a stake in the ground around what do customers expect right now? [00:14:56] Marc Monday: Um, the time and materials business is gonna be under a tremendous amount of pressure. Some studies are predicting that it could be. Compressed by as much as 30% customers are looking for outcome based. Yeah. Um, they may stop on that journey and, and have something that’s fixed fee. But the reality is everyone is expecting value from the, the technology that they buy, and particularly from an agent perspective. [00:15:21] Marc Monday: We really leaned in on that and published what I think is a pretty good framework mm-hmm. For, um, outcome-based consulting. And we had a couple partners co-author that with us, which was really wonderful. Nice. Um, and it was a nice piece of co-creation and I think I’m seeing more and more of that where we’re co-creating with our partners in ways that we’ve never done before. [00:15:41] Marc Monday: And then I think importantly, security and reliability, um, and managing risk increasingly will be important. In an agentic world, we call it a control tower. We made two fairly big acquisitions in the last several months in terms of both the front door and the back door in terms of securing with the calls that are going into that agent or from that agent. [00:16:04] Marc Monday: To your various data sources. And so for us trying to bring that all together with our strong history of workload flow, orchestration, and then importantly, governance, security, and risk, uh, in the environment today, when you have the potential for hundreds of thousands or even millions of agents touching your core systems of record, [00:16:24] Vince Menzione: how are you thinking about both tiering your partners and also enabling your partners? [00:16:30] Marc Monday: Yeah, I think this is also an, an an area where I’d love to benchmark with y’all, um, because, you know, historically most of us built a fairly robust learning plan for our partners. You’d have a certification and then you would have a competency, and then you, maybe you’d have a wrapper around that competency. [00:16:48] Marc Monday: And it would take a long time, maybe 12 or 18 months to get to that highest level of certification. And it was incredibly robust and that’s wonderful. But when the roadmap is moving so fast that we’re releasing weekly, monthly, and every 90 days, does that type of training still hold water? So I’m proposing that we have both a volume view of how many trained individuals can we get as quickly as possible, and then value. [00:17:16] Marc Monday: And so we don’t want to lose this rich history, what I would describe as the rear view mirror, how we got here, but we also need to approach the windscreen, the windshield, where are we going and what is that opportunity? Yeah, so we have to go a little bit faster when it comes to enablement, [00:17:32] Vince Menzione: so. You, you were in a partnership, you, you call it a built on partnership. [00:17:37] Vince Menzione: Is that, is that the approach that [00:17:38] Amit Sinha: Yeah. ServiceNow has an ISV program called The Built On Partnership. Built On [00:17:41] Vince Menzione: Partnership, yeah. [00:17:42] Amit Sinha: Uh, so we sign onto that program, great accelerators to build lot of coaching and help to build on the ServiceNow platform. It’s not just the CRM integration, where it’s the opportunities and orders. [00:17:54] Amit Sinha: And by the way, this is the best platform or order management out there. So if you think of, uh, of your, if you are a MSP or consulting partner, building orders for your customers, now you want them to land on the marketplace, right? You wanna build that highway. Think of work span, right? So that’s where we came in and we said that if we look at the large number of channel partners, MSPs, who need to do that and are using ServiceNow as a platform to do it, can they genetically do it right from the now CRM? [00:18:24] Amit Sinha: Yeah, so that’s why we came in. The three big use cases we saw, number one was renewals. You talked about Alexandra doing it. Renewals is so [00:18:31] Vince Menzione: important. Yeah. [00:18:32] Amit Sinha: Oh my goodness. If you think about the renewals playbook [00:18:34] Vince Menzione: was so huge, [00:18:35] Amit Sinha: six months, nine, you know, uh, 90 days out, you wanna build that playbook. Mm-hmm. In an agent way when you reach out. [00:18:43] Amit Sinha: And by the way, you heard, uh, die Talk about 462 billion of uncontested Cloud commits out there. Yep. You want your high risk renewals to go against the high propensity to buy accounts. Right. So imagine that matchmaking, if you were to do it humanly, it’ll take you days. If you had an agent to do it like the now assist agent, it can just be done like that. [00:19:06] Amit Sinha: So that was the first use case we went after. Nice. The second one was the low dollar automation. We all have businesses that we land, right? Sub 50 K deals, so we have inside sales teams calling on those customers all day long. So now imagine a Gentech solution where you take all those low dollar deals and again, tie to the marketplace. [00:19:26] Amit Sinha: How can you have express private offers, right, from your opportunities? So those were the two use cases that we went after first and boy, uh, we got some amazing results, [00:19:36] Vince Menzione: I bet [00:19:36] Amit Sinha: for one of these companies, Boomi, we showed that 24% higher lift on renewals. That’s like hundreds of millions in impact just in one year alone. [00:19:46] Vince Menzione: And using AI internally as obviously you’re an AI company. Yeah. How are you thinking about how’s the impact of AI helping the partner function within ServiceNow? [00:19:54] Marc Monday: I, I think there’s this really wonderful opportunity right now where in the short term, we’re taking busy work out of the partner management profession. [00:20:05] Marc Monday: Um, partner managers historically have spent a lot of time chasing data and chasing information and really acting as an ombudsman for the partner within the organization. That work is very quickly. Getting identified. That’s phase one. The thing I’m actually a little more excited about is when it can expand the horizon to have different types of conversations, expanding the partnerships, expanding the multi-partner oppor opportunities. [00:20:29] Marc Monday: That, for me is the next phase, but we, I believe we are the most progressive when it comes to using AI on ourselves and really trying to take the profession to the next level. [00:20:40] Vince Menzione: Nice. Well, I was gonna, I was gonna, I want to go back to the platform again. ’cause you, you’re, you’re starting, you, you mentioned renewals, you’re mentioning some of the success. [00:20:50] Vince Menzione: What else can you point to on the success side, [00:20:52] Amit Sinha: there’s some, uh, amazing research that Sam here has done, uh, with all the data that Wepan has. So we looked at close to a million opportunities and, uh, looked at all the companies doing well. And we actually tabulated how many sellers are engaged on co-sell, not the partnering team, but how many end sellers. [00:21:11] Amit Sinha: This shows the extent of the transformation that the company has gone through, and what we found was amazing. If more than 50% of your sellers have engaged on 10 or more deals, your ecosystem is exponential. It doesn’t need the kind of the doctoring or the prod or the push to kind of say, Hey, use partners. [00:21:31] Amit Sinha: The sellers get it themselves, right? So we, we did this analysis and found like, wow, how can we then get sellers to activate? And the bottleneck that we found was. That there are not enough partner managers to assist every seller in the world. I think that seller activation is the unlock that AI can do. [00:21:50] Amit Sinha: Imagine if you have a partner agent sitting on every account and every opportunity 24 by seven, right? As the world changes, as the world evolves, as the solutions come in. As you know, market events happen. These agents are listening, positioning the right. One of those six partners, or all six partners for that matter, in front of people. [00:22:10] Amit Sinha: So I feel like that that big unlock is seller activation. Yeah. So if all partner managers do with ai, next is one. Of course, get yourself skilled up and yourself productive. But next, direct it to your own internal sales teams and get them activated on your partnerships because that’s where you will move the revenue lever the fastest, in my opinion. [00:22:30] Vince Menzione: Fantastic. What advice do you have for whether they be ISV partners or other partners in the room? ’cause we have partners of all types here. Yeah. What would you have, what would you say to them that need to do differently or better? [00:22:43] Marc Monday: Yeah. [00:22:44] Vince Menzione: Starting today, [00:22:46] Marc Monday: I, I don’t wanna be a broken record, but I would just say go faster. [00:22:48] Marc Monday: However fast you think you’re going, it’s not enough. Yeah. Um, the reality is I think Bill McDermott says like, the market’s never been this fast before and it will never be this slow again. Oh. The reality is this is the pace we run at, and the only way we can run at this pace is if we have the agents doing much of the work for us. [00:23:09] Marc Monday: So I would say go faster. The second thing I would say is automating a bad process is a bad process. So really go and interrogate the workflow that you’re actually thinking about identifying. I’ve seen too many instances from partners and partnerships where you’re taking a bad process and you’re trying to build automation. [00:23:29] Marc Monday: Go back and deconstruct it or start fresh blank piece of paper. Um, again, to my metaphor of the rear view mirror and the wind screen, like it’s, we should honor the past. We’ve done a wonderful job in the last 30 years of building all of this stuff. It’s just not built for this speed. So we need to really stay focused on what’s in front of us. [00:23:49] Vince Menzione: We talked a little bit earlier in one of the other sessions about the playbook and the three year plan, and then maybe moving to sprints. That’s right. How are you, how are you thinking? Are you thinking along the same lines? A [00:23:59] Marc Monday: hundred percent. Uh, we need to move at the pace. Sorry, I’m, we need to move at the pace that the roadmap is moving. [00:24:05] Marc Monday: So if we’re doing weekly, monthly, and quarter releases, we don’t wanna whipsaw the channel. We have to be careful of that. But the reality is, if we’re pivoting our product strategies or release strategies on a quarterly basis. We have to have that same level of agility. That’s where the people who’ve grown up in this profession taking really complicated stuff and making it simple is so critical. [00:24:26] Vince Menzione: Ami, you touched on AI’s role in the partner function. But let’s expand on that. What, what’s it gonna look like in two years? If AI becomes, will it replace the partner function? What, what do you see happening? [00:24:38] Amit Sinha: Absolutely not. I think, uh, we are seeing this evolution and, and you can see the parallels in the engineering organization. [00:24:44] Amit Sinha: When Claude Cursor came along, you saw engineering completely transformed as to how products are now built. How they are, how product managers write PRDs, how engineers actually code this, you know, code the scaffolding all the way to the user experience, how it’s tested. Everything has fundamentally changed. [00:25:01] Amit Sinha: So if you went and asked the engineering leader, how will your role change? Right? Imagine answering that question today, right? It’s fundamentally different. I feel like it’s coming to every function. Whether you want it or not, it’s coming to every function. And the partnership leader will look like the partnership operator that Rob talks about. [00:25:19] Amit Sinha: Yes. It’ll be about orchestrating real time relationships at the account level, at the opportunity level, and being a hands-on person. Uh, i, I would say even at the leadership level or down to partner managers, how can you cover the breadth of accounts and opportunities that’s out there to, for you to prosecute? [00:25:36] Amit Sinha: It’ll not look like I’m managing a partnership. It’ll not look like, Hey, I have to offer an MDF. It’ll not look like, Hey, let’s do A QBR, you know, and get all the teams engaged because that’ll be too late essentially. So this operator perspective is what’s gonna change just as it changed in engineering, it’s gonna happen in partnerships [00:25:56] Vince Menzione: perspective as well. [00:25:57] Marc Monday: Big plus one on what Rob’s talking about. I, I, I’m a big fan of that and I love this idea of using what’s happening in the developer world as an analog for where we’re going. Yeah. Um, I met a product manager last week and she was saying that she was producing 30 or 40 product requirement docs every week. [00:26:14] Marc Monday: Um, that’s remarkable output and she can only do that because of the way she’s leveraging ai. The same will be true for a partner manager, a 10 x, a 20 x, a 30 x on each individual once we get to that stage, and it will happen very quickly. [00:26:29] Amit Sinha: Yeah. Imagine putting a hundred joint account plans together in a day. [00:26:33] Amit Sinha: Yep. [00:26:33] Vince Menzione: Right. Incredible. [00:26:34] Amit Sinha: Imagine putting like five connections on an opportunity just surrounding your deal right now. Right. Doing that. [00:26:41] Vince Menzione: I couldn’t even, I, I couldn’t even imagine. I know you couldn’t even imagine when we were back in the days we were running PAMs and Yeah, totally. Those resources, what they had to do and what’s all totally automated today. [00:26:52] Marc Monday: It. It’s true, it’s true. I was, um, I was bemoaning this, I’ve been on the road a lot lately and I was like telling my wife, like, I long for the days where you have one meeting and you go, you know, you go to New York and you do a two hour QBR and you go to a nice dinner and then maybe you walk around Central Park. [00:27:06] Marc Monday: The reality is you’re doing a hundred of those every single day. It’s a different era. That’s where we need to get the tools to work for people. [00:27:15] Amit Sinha: Mark, I love your analogy around the rear view mirror versus the windshield. Mm-hmm. You have to see through the windshield. [00:27:20] Marc Monday: We do. We do. It’s amazing. Don’t be afraid. [00:27:23] Marc Monday: I, I mean, I would just say do not be afraid. Be excited. We in this room, get to lead the path. Yeah. It is an absolute privilege. [00:27:32] Vince Menzione: So insightful, gentlemen, you’ve been incredible to be on stage with today. Uh, I we have a le a little less than a minute. I was hoping maybe if there was like one question we could take. [00:27:42] Vince Menzione: I got John with a mic and then it’s lunchtime after this, so [00:27:48] Marc Monday: ask on because he can be more pithy. [00:27:50] Vince Menzione: Yeah. [00:27:55] Vince Menzione: Well, you’re both are gonna be around here. I hope [00:27:57] Marc Monday: we will be here. [00:27:58] Vince Menzione: Mark didn’t have you got to sleep in your own bed last night? [00:28:00] Marc Monday: Uh, yeah. It was a long day, but yes. I thank you for, it was very late. Thank you so much. Let’s put this on the record. Marks down. We’re having the event in Bellevue. That was great. [00:28:09] Marc Monday: We’re gonna [00:28:09] Amit Sinha: bring it back. We’re gonna bring it back to Bellevue. [00:28:12] Marc Monday: Seven mile commute is the best trip that I’ve had in many, many weeks. [00:28:17] Amit Sinha: Thank you. Well, thank you, gentlemen. It [00:28:19] was [00:28:19] Marc Monday: incredible. [00:28:20] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. [00:28:28] Vince Menzione: Subscribe where you listen, and head over to the Ultimate partner.com for show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live event in Reston, Virginia, [00:28:44] Marc Monday: October [00:28:45] Vince Menzione: 26th through October 28th. Until next time. Keep showing up in the rooms that matter because being in the room changes everything.

In this podcast, Greg Voisen sits down with Kate Marshall, author of AI at Work: A Step-By-Step Foundational Guide for Implementing AI (2026 Edition), to unpack why so many smart, capable professionals feel paralyzed by artificial intelligence. Rather than offering another piece of tech hype, Kate reveals how her 18-year background in cybersecurity and AI governance exposed the real culprit behind failed workplace adoption: bad data habits, messy systems, and fear of the unknown. Discover why moving away from generic prompt libraries, training models on your actual workflow, and conducting an honest "Trust, Check, Reject" audit can eliminate machine noise and give you back your time—without losing the human magic that makes your work unique.

Every founder I know is asking the same question: "How should we actually implement AI across our company?"The reality is that every playbook will require customization, but there are clear patterns beginning to emerge.In this episode, Chetan Narain, Cofounder of Pepper, joins me and my colleague, Interplay Senior Partner Kevin Tung, to share how Pepper is integrating AI across its products and organization - and the lessons they've learned along the way.We discuss:• Where vertical SaaS ends and vertical AI begins• AI agents and guardrails• Organizational redesign• How to move fast without creating chaosIf you're building a company and thinking beyond AI features toward AI transformation, I think you'll enjoy this conversation.⏱️ Chapter Markers:00:00 — Intro — Implementing AI across your company and why it matters now01:23 — Where vertical SaaS ends and vertical AI begins: dashboards → autonomous agents03:36 — Pepper 101: the $1T food distribution opportunity05:37 — Pricing agents: moving from recommendations to action08:42 — Trust, autonomy, and guardrails for mission-critical workflows09:33 — ROI you can prove: GP lift and attribution clarity11:25 — Experiments that broke: letting non-tech teams ship code14:21 — Pepper's "product build system": AI-reviewed PRDs and prototypes19:22 — Organizational design: single-threaded ownership vs. diffusion23:03 — Speed traps: building 4 prototypes ≠ faster outcomes24:22 — Kevin Tung on logging mistakes and compounding intelligence26:10 — A/B testing as a sandboxed guardrail27:02 — Chetan's path: Google PM to first PM of Uber Eats29:37 — COVID pivot: Pepper Pantry hits $10M run rate in a week32:57 — Distributor-first model: white-labeled apps and trust34:33 — If king for a day: accelerating tech adoption in food36:31 — Early adopters and tailwinds across 20k+ distributors38:11 — Wrap and takeawaysLinks:• Chetan Narain: LinkedIn• Pepper: Website, LinkedIn• Interplay: Website, LinkedIn, X• MPD: LinkedIn, X

In this episode of The Tech Leader's Playbook, Avetis Antaplyan speaks with technology executive, investor, author, and MIT Media Lab affiliate researcher Harry Glorikian about how AI is changing business at the operating-model level. Drawing from his book The Invisible Interface, Harry explains why domain experts may outperform pure technologists, how AI agents could enable billion-dollar companies with remarkably small teams, and why traditional software businesses face growing disruption. They also examine AI implementation mistakes, organizational redesign, proprietary data, cognitive rent, leadership accountability, and why executives should focus on revenue creation—not only headcount reduction. This conversation is essential for CEOs, CIOs, CTOs, investors, entrepreneurs, and technology leaders preparing their organizations for an AI-native economy.What You'll Learn• Why AI strategy must be led by executives rather than delegated entirely to technology teams.• How domain expertise helps organizations build more accurate and valuable AI workflows.• What the invisible interface means for software, commerce, customer relationships, and competitive advantage.• When proprietary data, institutional knowledge, and AI memory create cognitive rent and vendor lock-in.• The organizational questions leaders should answer before deploying AI agents across the business.Chapters00:00 AI Leadership and Organizational Change01:35 Harry Glorikian's Career Journey06:30 Leadership Lessons and Innovation16:24 Executive AI Implementation Mistakes25:00 AI Agents and Smaller Teams27:30 SaaS Disruption and Consolidation34:12 Why AI Is Not a Bubble39:32 The Invisible Interface52:42 Redesigning AI-Native Organizations01:06:01 AI Investment Opportunities and PredictionsFollow Avetis AntaplyanInstagram:https://www.instagram.com/avetisantaplyanSpotify:https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDeApple Podcasts:https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628Follow Harry GlorikianLinkedIn:⁠https://www.linkedin.com/in/harryglorikian/⁠Website:⁠https://glorikian.com/⁠HIRECLOUT:https://www.hireclout.comThe Tech Leader's Playbook:https://www.podcast.hireclout.comLinkedIn:https://www.linkedin.com/in/hirefasthirerightartificial intelligence, AI leadership, enterprise AI strategy, generative AI, AI agents, large language models, organizational design, future of work, digital transformation, AI implementation, executive leadership, AI business strategy, domain expertise, proprietary data, cognitive rent, AI memory, competitive advantage, SaaS disruption, software disruption, AI infrastructure, business innovation, technology investing, one-person billion-dollar company, Harry Glorikian, Avetis Antaplyan, The Invisible Interface, The Tech Leader's Playbook, MIT Media Lab#ArtificialIntelligence #AILeadership #EnterpriseAI #GenerativeAI #AIAgents #DigitalTransformation #FutureOfWork #TechnologyLeadership #BusinessStrategy #SaaS #Innovation #ExecutiveLeadership

Andrew Burt is a lawyer, entrepreneur, and former national security official widely recognized as one of the world's leading experts in the intersection of law and artificial intelligence.  Over the last decade, he has built companies, law firms, and software systems that have revolutionized how AI is managed for legal risks, and his work has impacted hundreds of millions of people around the world. As a pioneer in the field of legal engineering, he founded and led the world's first legal engineering team focused on automating data governance in 2016. In 2019, he co-founded and later sold the first-ever law firm run by lawyers and data scientists solely focused on artificial intelligence.  He is co-founder and CEO of Luminos.AI, the first AI governance company focused on legal risk, where he currently serves as CEO. In this episode… Companies are adopting AI faster than they can set guardrails around it. Privacy and legal teams can review an AI model or approve a vendor contract, but AI governance doesn't stop there. Risk varies by use case, including whether the system is internal or customer-facing and the level of human oversight involved. As organizations connect new AI tools, chatbots, and agents to more business processes and systems, AI governance has to move from policy to a scalable structure.  One of the biggest challenges companies face is making governance work at the same speed as AI adoption. Andrew Burt knows this well as a co-author of the NIST AI Risk Management Framework, where he helped shape how companies identify, document, and manage AI risk. Turning frameworks into action is where organizations often get stuck. Implementing AI guardrails requires involvement from legal, privacy, security, compliance, engineering, and other business teams. Yet when too many people share responsibility without a lead decision-maker, it can create what Andrew calls "governance debt." Effective governance starts with accountable leadership and a working connection between the teams writing the rules and the teams building the AI systems. This means moving beyond policy-heavy approaches so governance can scale with the business and the technology.  In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Andrew Burt, Co-founder and CEO of Luminos.AI, about the challenges of scaling AI governance. Andrew explains why traditional governance models struggle to keep up with how quickly AI systems are built and deployed. He breaks down the differences between managing risk at the model level and at the use-case level, including why the same AI tool can carry different risks depending on its use. Andrew also shares his prediction for the future of AI regulation in the United States and offers practical steps companies can take to strengthen AI governance.

Cat Robson-Scarborough picked up eight awards in her first year of business. But she is not afraid to say that not all awards are worthy of the title. Cat, co-founder of Your Man With a Van, joins Debbie to share how she went from retail leadership to building one of the UK's fastest growing removal franchises, now sixty six branches strong. Our guest shares her honest take on business awards, not all of it positive. She explains why she and her husband Dan ditched their franchise consultant to build a fairer model, with low entry fees, rolling monthly contracts and no punishing commission structures. Cat also talks candidly about the courage it took to go against industry norms, the challenges of scaling quickly, and why she stepped away from the property network she founded to focus on the franchise. Finally, we hear about her new podcasting venture, and how AI is being implemented while staying mindful of its wider social impact. About Cat Cat is Co-Founder and Franchise Director of Your Man With a Van, a multi-award winning national removals franchise. Cat has grown the network to 65 branches in just over two years with her husband Dan.  Recently named "Entrepreneur of the Year" at the Global Woman Awards and a genuine trailblazer in ethical franchising, she's building something the industry doesn't see often: a model where the harder you work, the more you keep. Cat has spent her career understanding what genuine customer trust looks like and, just as importantly, how to protect it when a business grows. As UK Director of Retail and Customer Services at Orvis, with experience across some of Britain's most respected consumer brands, she has also won awards at almost every organisation she has worked for. # She knew when she met Dan, his was a business that had earned his customers' trust. Together, they asked a simple question. Why couldn't every town in the UK have this? That question became the Your Man With A Van franchise. Cat is on a mission to help others achieve their business dreams whilst creating fair and equitable opportunities.      {2:35} Cat's journey to founding Your Man With a Van. {4:47} The philosophy behind franchising fairly. {8:43} Using research and experience to create a franchise their way. {10:59} Cat's franchisee awards and using socials for recognition. {13:47} The biggest challenges along the way. {15:58} Building the UK Property Network. {19:45} Cat's experience of business awards and how it's impacted her business. {22:25} The MBN 'Now What' Podcast. {24:30} Plans for the next couple of years. {26:57} Implementing AI in a human way. {33:28} Keeping drivers safe through appropriate working practices. {35:09} The pressure on franchisees to develop their businesses. {35:58} Cat's big tip for franchising.   Connect with Debbie at: https://thebusinessawardsshow.co.uk                                         https://bestsmeawards.co.uk/                                        Connect with Cat:  https://yourmanwithavan.com/                                https://catrobsonscarborough.com/ LinkedIn:  https://www.linkedin.com/company/yourmanwithavan/ Facebook: https://www.facebook.com/YourManWithAVan/ Instagram:  https://www.instagram.com/yourmanwithavan YouTube: https://www.youtube.com/@yourmanwithavanfranchise The MBN Pod Now What?: https://open.spotify.com/show/3XpfdItmk7oaIMauu3xZIx

Join Mark Hayward in this insightful episode as he explores the often overlooked nuances of transitioning from a corporate career to entrepreneurship. Mark draws on his extensive experience to highlight the challenges faced by new entrepreneurs. This episode delves into crucial aspects of operating a small business, including sales strategies, cash flow management, and leveraging AI tools, while also addressing the emotional and psychological hurdles that come from embarking on this new journey.The conversation navigates through essential topics such as the "day rate delusion," pipeline discipline, and the dynamic of business development once you leave the corporate safety net. With SEO keywords like "entrepreneurship challenges," "business growth strategies," and "small business operations," these show notes encapsulate key guidance for anyone contemplating a similar professional shift. Additional focus on hiring practices, financial literacy, and the impact of AI technology highlights the necessity of foresight and strategic planning in building a sustainable business foundation.Key Takeaways:Understanding the "day rate delusion" is crucial; without considering overheads and non-billable time, your profitability won't match expectations.Developing a robust pipeline discipline is vital to avoid the feast and famine cycle commonly experienced by new entrepreneurs.Building effective hiring practices focused on cultural fit and clear onboarding processes ensures better team cohesion and retention.Monthly financial checks and a genuine understanding of key financial metrics like gross margin and cash flow forecasts are imperative for business stability.Implementing AI strategically in everyday tasks can save significant time and improve efficiency, easing the workload of small business owners.SPONSORIf you want to be a guest on podcasts to raise your profile then go to www.podcastintroduction.com and set up a call with our teamResources:Patreon Community: Join the community for exclusive content at patreon.com/businessgrowthtalks.Embrace the full entrepreneurial conversation with Mark Hayward as he demystifies the transition from corporate security to entrepreneurial freedom. Tune into this episode to uncover actionable strategies for a successful business journey. Stay connected for more profound insights and practical advice from the series. Support the showIf you want to watch the full video of this episode go to:https://www.youtube.com/@markhayward-BizGrowthTalksDo you want to be a guest on multiple podcasts as a service go to:www.podcastintroduction.comFind more details about the podcast and my coaching business on:www.businessgrowthtalks.comFind me onLinkedIn - https://www.linkedin.com/in/mark-hayw...Tik Tok - https://www.tiktok.com/@mjh169183YouTube Shorts - https://www.youtube.com/@markhayward-BizGrowthTalks/shorts

Most real estate wholesaling business owners struggle to scale beyond their first year, but the right systems and team can change everything. David sits down with Kyle Eisenbarger and Joe Ientile from Sunflower Home Buyers, two entrepreneurs who scaled to 181 deals last year and are looking to continue expanding rapidly. They discuss their direct mail marketing strategy, the critical hiring mistakes that taught them valuable lessons, and their ambitious 2027 growth plans including in-house construction crews. KEY TALKING POINTS: 0:00 - Intro 0:19 - An Overview Of Kyle and Joe's Business 1:12 - Pivoting From Wholesale to Flips 3:26 - How They Got Started 4:11 - Deals That Kicked Their Teeth In 6:20 - Hiring Mistakes & Bringing In Coaches 8:10 - Doing 100 Deals in Year Two 10:29 - Their Direct Mail Strategy 12:19 - Marketing Budget & Channels 13:49 - 2027 Growth & Hiring Plans 15:42 - In-House Construction Crews 17:28 - Differentiating From Competitors 19:14 - Their Review Collection Strategy 20:32 - Implementing AI in the Business 25:11 - Biggest Challenge Right Now 26:14 - Overcoming Fear of AI 29:05 - Where to Find Them 29:36 - Outro LINKS: Facebook: Kyle Eisenbarger https://www.facebook.com/kyle.eisenbarger   Facebook: Joe Ientile https://www.facebook.com/joe.ientile   Website: Sunflower Home Buyers https://www.sunflowerhomebuyers.com/   Instagram: David Lecko https://www.instagram.com/dlecko   Website: DealMachine https://www.dealmachine.com/pod   Instagram: Ryan Haywood https://www.instagram.com/heritage_home_investments   Website: Heritage Home Investments https://www.heritagehomeinvestments.com/

How are beauty and wellness business leaders actually using AI today?  That was the question posed to three longtime industry executives on stage during Glossy's annual E-Commerce Summit in Miami Beach earlier this month — and the answers may surprise you.  For example, Jenna Manula Linares, vp of digital marketing and TikTok Shop at Tarte Cosmetics, has recently added 15-minute team check-ins at the end of each weekly meeting that require staffers to share how they used AI that week and whether or not it was successful.  “We're creating a culture of experimentation,” she said. “So, what I challenge my teams to do each week is to use AI in a new or different way.” The team then tracks these challenges and results using Tarte's internal AI program.  Meanwhile, David Baker, chief revenue officer of the skin-care brand Beekman 1802, has found success in identifying early AI adopters within the brand and empowering them to learn new skills and own tentpole projects. “First and foremost, it's finding the people who have an interest in it, and giving them the room and space to play,” he said.  Baker is teaching his team to think of AI as a colleague that works while the rest of the team is off the clock. “Finding and sourcing creators gets really hard, so we've built an agentic staffer. Her name is Zoe, and Zoe is designed to source [creators] and draft personalized outreach, so that we can find people who fit our ethos and fit our brand voice really, really well at scale, while we sleep,” he said.  “AI has permeated every team and workflow we have at Tarte,” Linares said. “I'm constantly telling my team, if it takes you longer than 15 minutes to do something, there's a faster way, and you should learn and try to figure it out via AI.” Then there is Ulta Beauty, which rolled out one of the largest AI partnerships within beauty retail last month, with Google Gemini. The team has spent the past few weeks learning how its consumers actually use the new AI-powered features, which include an on-site and in-app chatbot.  “We continue to find new data sets that we need to put into [the chatbot's knowledge base, like] store locations, store hours — a lot of those things where customers are just asking generic questions,” said Josh Friedman, svp of digital and e-commerce at Ulta Beauty. “They're asking lots of questions about the brand, and we're seeing some really good use cases with our customer care agent, as well.”  In today's episode of the Glossy Beauty Podcast, host Lexy Lebsack takes listeners live on stage with Ulta Beauty's Josh Friedman, Tarte's Jenna Manula Linares and Beekman1802's David Baker to learn about the actual impact of AI today. 

Implementing AI isn't about systems or workflows alone. It's a human transformation that touches every role, skill, and interaction. This is why HR needs to lead the change. In this episode, Karina Young is joined by Dr. Jeff Smith, author and COO at 15Five, to discuss how HR can guide organizations through this shift. Jeff shares strategies for managing change with empathy, upskilling employees, and creating systems where humans and AI complement each other. They also discuss the importance of trust, communication, and engagement in making AI adoption successful. What you'll learn: The importance of HR leading AI transformation, not just IT or executives How to address fears and resistance around AI  Key skills for employees and managers to thrive in an AI-powered workplace Join us as we discuss: (00:00) Meet HR Superstar: Jeff Smith (07:02) AI as a rethinking of work, not a productivity tool (12:47) Managing FOBO and resistance (15:11) Long-term planning for AI adoption (25:41) The AI maturity framework (30:33) The mindset shift that HR needs right now Resources: For the entire interview, subscribe to HR Superstars on Spotify, Apple Podcasts, or YouTube, or tune in on our website. Original podcast track produced by Entheo. Listening on a desktop & can't see the links? Just search for HR Superstars in your favorite podcast player. Hear Karina's thoughts on elevating your HR career by following her on LinkedIn: https://www.linkedin.com/in/karinayoung11/ Register to 15Five Next: https://www.15five.com/15five-next-2026-registration Download 15Five's HR Outcomes Playbook: https://www.15five.com/ebook/hr-outcomes-playbook-unlocking-the-true-business-value-of-hr/?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2_2023_Podcast_CTAs&utm_content=HR For more on maximizing employee performance, engagement, and retention, click here: https://www.15five.com/demo?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2-Podcast-Ads&utm_content=Schedule-a-demo Jeff Smith's LinkedIn: https://www.linkedin.com/in/jeffsmithphd/

Implementing AI is different than other types of software. Globalization Partners (G-P) Head of HR Laura Maffucci shares her lessons from navigating an AI mandate, handling employee fear, and building a cross-functional AI governance council. Listen to hear how we transition from informal employee experimentation to structured, agentic workflows that enhance productivity without removing the human in the loop. Key takeaways from the discussion: Why bolting generic AI tools onto existing, broken workflows fails to deliver much results How an internal cross-functional AI council enables employee use The difference between executive perceptions and employee realities Enabling the desired behaviour Being real 00:00 Lessons from early enterprise AI implementation 01:13 Scope of AI deployment at GP 02:17 Managing employee fear of job replacement 04:31 Moving from unstructured to structured automation and the change implications 06:00 The differing implementation needs: deep versus broad 08:41 The failure of bolting on AI 10:43 Purpose-built compliance and agentic data scraping 12:43 Managing shadow AI and workflow fragmentation 13:46 Structuring a corporate AI policy council 15:10 Creating positive energy around governance rules 16:40 Executive delusions vs employee realities 18:37 Why rising quality standards impact efficiency 19:21 The role of HR in change management 20:52 Balancing personal skepticism with strategic adoption 22:05 Finding non-technical AI champions in house 24:22 The power of authenticity over corporate jargon 25:27 Where to connect with Laura and G-P Find Laura Website: https://www.G-P.com/ or https://www.globalization-partners.com LinkedIn: https://www.linkedin.com/in/laura-maffucci/ Find Andrea (me) Website: https://thehrhub.ca/ LinkedIn: https://www.linkedin.com/in/andrea-adams1/

Our guest on this episode of Higher Logic's The Member Engagement Show is Ashleigh Brookshaw, a strategic advisor at Higher Logic who is also a Prosci-certified change manager and agile & traditional project manager. As more associations adopt AI, Ashleigh touches on several topics related to the challenges and opportunities that can bring: How organizations can adopt AI successfully. Why AI is first and foremost a change management challenge, not a tool implementation challenge. What are the key components of AI readiness? Is the quality of your data good enough to get high quality AI outputs? Implementing AI with both members and internal staff in mind. How to decide what AI initiatives to prioritize. The right way to do staff enablement. The skills or mindset shifts that people need the most in AI adoption. Involving members in your AI adoption. The signals of a successful AI implementation?

When even a seasoned healthcare professional can't navigate the system safely, what would the average patient or family do? We connected with Kathryn Biasotti, a nurse leader and patient safety advocate with more than 30 years of experience in healthcare operations, risk management, and quality. Kathryn shares a deeply personal story of loss that exposes how communication breakdowns and documentation gaps can lead to devastating outcomes, even in well intentioned systems. Watch the video version here. Chapter Timestamps 00:00 Preview clip 00:57 Welcome to The Digital Healthcare Experience 01:23 Introduction to Kathryn Biasotti 02:11 A personal story of loss and missed opportunities 02:57 Breakdown in communication and care coordination 04:17 Lack of transparency and delayed interventions 06:41 What would the average family do without medical knowledge 08:07 Structural failures and systemic gaps in care 09:07 What the Patient Safety Structural Measure aims to fix 12:25 Communication failures and the risk of litigation 14:02 Why communication remains the leading cause of safety events 15:27 The role of patient advocacy and leadership accountability 17:06 Building a culture of safety from the top down 18:48 The role of AI in improving patient safety 21:08 Alert fatigue and the human factor in technology 23:56 Implementing AI responsibly in healthcare systems 25:37 The most important takeaway for healthcare leaders   Connect with Kathryn on LinkedIn at https://www.linkedin.com/in/kathryn-biasotti-49680611b/ Find Kathryn's work at https://www.pfps.us #digitalhealth #patientsafety #healthcareinnovation #riskmanagement #healthcareai #patientexperience Subscribe and stay at the forefront of the digital healthcare revolution. Find out why we're the fastest growing digital health channel on YouTube!  The Digital Healthcare Experience is a hub to connect healthcare leaders and tech enthusiasts. Powered by Taylor Healthcare, this podcast is your gateway to the latest trends and breakthroughs in digital health. Learn more about The Digital Healthcare Experience here. Taylor Healthcare empowers healthcare organizations to thrive in the digital world. Our technology streamlines critical workflows such as procedural & surgical informed consent with patented mobile signature capture, ransomware downtime mitigation, patient engagement and more. For more information about Taylor Healthcare, please visit imedhealth.com   The Digital Healthcare Experience Podcast: Powered by Taylor Healthcare Produced by Naomi Schwimmer  Hosted by Chris Civitarese Edited by Eli Banks Music by Nicholas Bach  

Send us Fan MailIn this episode of Embedded Insiders, Ken sits down with Andrea Gallo, CEO of RISC-V International, to discuss the company's upcoming RISC-V Summit in Bologna from June 8 - 11. They also recap this year's embedded world exhibition and conference, highlighting AI at the edge and industrial robotics as the top trends at the show. Next, Rich and Vin are back with another Dev Talk discussing the different definitions of AI, and recent news about Arm becoming a silicon provider.But first, Ken and I are discussing upcoming travel to NI Connect in Fort Worth and Computex in Taipei. For more information, visit embeddedcomputing.com

Description:Want to break into cybersecurity? Learn how Nikhil Agarwal moved from reverse engineering video games to leading AI security teams and automating complex infosec workflows. [bic-00003]In this episode, we explore:How childhood curiosity about software keys and "cheat codes" builds a foundation for red teaming. [bic-00004]The evolution from freelance bug hunting to professional penetration testing. [bic-00004]Nikhil reveals practical AI tools for automating security tasks in the cloud. [bic-XXXX1] [bic-00009]Demystifying AI-powered threat hunting: Practical steps and strategies. [bic-XXXX2] [bic-00009]Implementing AI for cloud security threat detection and automated incident response. [bic-00008]Timestamps: [bic-00004]00:00 - Intro & Countdown00:29 - Welcome Nikhil Agarwal00:52 - Childhood curiosity and reverse engineering games01:45 - Early freelance red teaming and the "pre-bug bounty" eraGuest Bio: [bic-00004]Nikhil Agarwal is a cybersecurity expert specializing in AI security teams and the automation of complex security operations. He leverages a background in red teaming and penetration testing to bridge the gap between hands-on technical skills and modern AI-driven cloud security.Community Link | Subscribe on YouTube [bic-00007]Tags: [bic-00005] [bic-00006]Nikhil Agarwal, AI Security, Red Teaming, Cloud Security Automation, Bug Bounty, AI Threat Hunting, breaking into cybersecurity, cybersecurity career, how to get into cybersecurity, cybersecurity podcast, infosec career, cybersecurity career change, cybersecurity for beginners, cybersecurity career advice, cybersecurity jobs, CISO interview, pivot to cybersecurity, cybersecurity certifications.***Sponsored by CPF Coaching LLC - http://cpf-coaching.comThe Breaking into Cybersecurity: It's a conversation about what they did before, why they pivoted into cyber, what the process was they went through, how they keep up, and advice/tips/tricks along the way.Check out our books:The Cybersecurity Advantage - https://leanpub.com/the-cybersecurity-advantageDevelop Your Cybersecurity Career Path: https://amzn.to/3443AUIHack the Cybersecurity Interview: https://www.amazon.com/Hack-Cybersecurity-Interview-Interviews-Entry-level/dp/1835461298/---About the hosts:Renee Small is the CEO of Cyber Human Capital and author of Magnetic Hiring. https://www.linkedin.com/in/reneebrownsmall/Christophe Foulon is a Cybersecurity Strategist and passionate about customer service and process improvement. https://www.linkedin.com/in/christophefoulon/- Website: https://www.cyberhubpodcast.com/breakingintocybersecurity- Podcast: https://podcasters.spotify.com/pod/show/breaking-into-cybersecuri- YouTube: https://www.youtube.com/c/BreakingIntoCybersecurity- Linkedin: https://www.linkedin.com/company/breaking-into-cybersecurity/

Kyler and Ned are joined by Enrico Teotti, an independent consultant with over 25 years of experience. Enrico has worked with clients on real-world AI implementations, and he’s here talk about what he’s learned, including using AI to query databases, and for debugging and performance analysis. They also touch on the importance of using AI... Read more »

Kyler and Ned are joined by Enrico Teotti, an independent consultant with over 25 years of experience. Enrico has worked with clients on real-world AI implementations, and he’s here talk about what he’s learned, including using AI to query databases, and for debugging and performance analysis. They also touch on the importance of using AI... Read more »

Kyler and Ned are joined by Enrico Teotti, an independent consultant with over 25 years of experience. Enrico has worked with clients on real-world AI implementations, and he’s here talk about what he’s learned, including using AI to query databases, and for debugging and performance analysis. They also touch on the importance of using AI... Read more »

Episode Overview In this episode of The EdTech Podcast, we bring together three educators who have moved beyond using AI—to actively creating with it. From building bespoke tools and secure large language models to designing simple, classroom-ready solutions, this conversation explores what it means to be an educator–creator in an AI-driven world. Chris Loveday shares how his college has developed over 20 AI-powered agents to support both operational efficiency and student experience, including a fully safeguarded internal large language model designed with education-specific guardrails. His work highlights critical themes of digital equity, safeguarding, and the importance of keeping humans firmly in the loop. Aaron Patching brings a practical, classroom-level perspective—demonstrating how teachers can use tools like Canva and low-code platforms to solve everyday challenges. From interactive recall quizzes to real-time navigation tools for parents' evenings, he shows how small, purposeful innovations can have a big impact on workload and engagement. Dan Comber explores how AI can transform static school resources into dynamic, interactive experiences. From chatbot-powered policy access to rethinking how students and parents engage with key information, his work focuses on accessibility, communication, and embedding AI into school culture—not just as a tool, but as part of how systems operate. Across the conversation, a shared message emerges: successful AI integration in education is not about the technology itself, but about solving real problems, building staff confidence, and maintaining a strong ethical and human-centred approach. The episode also tackles key challenges, including staff training, sustainability, data privacy, and the need for clear governance. Whether you're just starting out or already experimenting, this episode offers practical insights, honest reflections, and a powerful reminder—AI in education isn't something happening to us, it's something we can actively shape. Chris Loveday: linkedin.com/in/chris-loveday-5b712622b/  Aaron Patching: https://www.linkedin.com/in/aaron-patching/ Dan Comber: https://www.linkedin.com/in/dan-comber-teacher/  Chapters 00:00 Introduction to AI in Education 02:50 Creating Bespoke AI Solutions 05:48 Student-Centric AI Tools 08:46 Empowering Educators with AI 11:24 Innovative Approaches to Teaching 14:20 Bridging the Gap with AI 14:49 Overcoming Resistance to AI 16:54 Interactive Learning with AI 20:03 The Future of AI in Education 25:51 Building Effective Data Systems in Education 27:02 Exploring AI's Role in Education 29:26 Engaging Staff with AI Technology 31:49 Implementing AI in the Classroom 33:13 Educating Students on AI Literacy 35:31 The Importance of Continuous Training 37:46 Practical Tools for Teachers 41:42 Sustainability and AI in Education 45:36 Advice for Educators Embracing AI 52:22 NEWCHAPTER   Resources   AI and Education Steering Panel - https://aieducation.org Canva - https://www.canva.com Claude AI - https://www.anthropic.com ChatGPT - https://chat.openai.com Google AI Tools - https://ai.google/

I first heard about this guy on the Joe Rogan show. He built a hot business on a simple concept: Companies hire him to embed AI usage and thinking in their businesses. Now he's creating his own agent software (a customized version of NeoClaw) that he's installing in companies. Best of all: Jon Cheney says what he built at GenAIPI can be built by people listening to this episode. We break down how. Jon Cheney is the founder of GenAIPI (General AI Proficiency Institute), an AI consulting and enablement company that helps businesses adopt AI through training, strategy, and implementation. He previously built and exited a venture-backed startup, then used AI tools to launch GenAIPI from scratch with just $400. Today, the company is at roughly $4.5M ARR and is evolving from fractional AI consulting into software-assisted AI infrastructure for clients. Sponsored byZapier More interviews -> https://mixergy.com/moreint Rate this interview -> https://mixergy.com/rateint

Summary In this insightful interview, Wendy Vestevich shares her expertise on AI adoption, change management, and the operational and reputational impacts of technology rollouts. Discover practical strategies for fostering human-centric AI integration and overcoming adoption challenges across organizational levels. Keywords AI adoption, change management, operational impact, organizational change, human-centric AI, technology rollout, frontline workers, leadership, AI challenges, digital transformation Key topics Operational consequences of AI adoption failure Reputational impact of technology rollouts Change management strategies for AI Frontline worker engagement and incentives Measuring AI adoption success Chapters 00:00 Introduction to AI Adoption Challenges 02:49 The Impact of Reputation on Technology Rollouts 05:44 Understanding User Perspectives on AI Technology 09:03 Differentiating Adoption Metrics for Leadership and Frontline Workers 11:51 Navigating Job Security Concerns in AI Adoption 14:54 Measuring AI Adoption Success Across Different Roles 17:58 The Shift in Roles and Responsibilities with AI 20:54 Coping with Change: The Human Element in AI Integration 24:09 Reframing AI as a Tool for Empowerment 27:05 The Future of Work in an AI-Driven World 28:31 Rethinking Outcomes in the Age of AI 29:49 The Role of Humans: From Creators to Curators 31:24 AI's Impact on Frontline Workers 34:43 Challenges in Implementing AI in Field Service 38:21 User Experience in the Era of AI 40:57 The Human Element in Customer Service 46:32 Advice for Successful AI Adoption   Wendy Vestevich LinkedIn - https://www.linkedin.com/in/wendyvestevich/  

In this episode, Dr. Karen Litzy hosts Dr. Sherry Zhang, an expert in obesity genomics, personalized nutrition, and longevity science. They explore how genetics and AI are transforming healthspan strategies, empowering practitioners to deliver more precise, actionable advice to their patients. Whether you're a healthcare provider or health-conscious individual, discover how to leverage DNA insights and technology to enhance longevity and quality of life. In this episode: ·       Dr. Sherry Zhang shares her journey from classical musician in China to leading health tech innovator focused on longevity. ·       The limitations of one-size-fits-all nutrition and how genetics reveal why personalized approaches are essential. ·       How genetic insights help combat health misconceptions and promote empowerment rather than excuses. ·       The role of AI, multi-omics, and federated data models in revolutionizing health monitoring and prevention. ·       Practical ways clinicians and practice owners can incorporate genetic and digital health data into patient care today. ·       Using insights like sleep quality, grip strength, and heart rate variability as early markers of health decline. ·       The importance of a proactive, trajectory-based view of health spanning decades, not just episodes of illness. ·       Strategies to build trust in privacy-preserving AI tools and navigate data regulation challenges. ·       The future of healthspan extension: living vibrantly into your 120s and beyond. Timestamps:  00:00 – Welcome and Dr. Sherry Zhang's transition from musician to health tech innovator 01:19 – The limitations of traditional nutrition models revealed through genomics 01:51 – Why one-size-fits-all doesn't work—genetic variations in weight management 02:44 – How genomics can correct misconceptions and empower health choices 04:09 – The importance of genetic pride and understanding evolution's role in our health 05:16 – Avoiding genetic excuses: personal responsibility in health behavior 06:00 – Building personalized nutrition profiles with GenoPallet 08:07 – How genetic insights influence patient motivation and adherence 10:01 – The power of identity and self-perception in health behavior change 11:08 – Impact of personalized data on engagement, especially in metabolic health 12:03 – How to interpret sensitivity to substances like caffeine and alcohol 13:24 – The significance of metabolizer status—fast vs. slow—on lifestyle choices 14:32 – Defining health span practically: years lived in good health, not just disease-free 15:12 – Monitoring long-term health trajectories vs. snapshots 16:10 – The shift from reactive to proactive healthcare practices 17:10 – Integrating multi-layered omics and continuous data streams for longevity 18:22 – The role of resilience and capacity in health monitoring 20:22 – Early biomarkers for health decline and how wearable tech can help 21:51 – Implementing AI in practice: opportunities and challenges for non-data scientists 23:28 – Privacy and security: federated data models safeguarding personal health info 24:41 – The future of AI in personalized prevention and health management 28:39 – Envisioning healthcare in 20 years: living vibrantly into your 120s 30:40 – Sherry's advice for her younger self—cultural learning and lifelong growth 37:04 – Connecting with Dr. Sherry Zhang and accessing her resources   Resources & Links: ·       Yisharijang.com – Dr. Zhang's official website ·       The Founder Effect (Book) – her memoir exploring her journey and scientific insights ·       Genopallet – Personalized nutrition based on DNA ·       Buck Institute for Research on Aging – Leading longevity science research ·       Houseband Horizons – AI-powered health management platform ·       Federated Learning – Privacy-preserving AI technology Connect with Dr. Sherry Zhang: ·       LinkedIn ·       Substack ·       Instagram ·       X   More About Dr. Zhang: Dr. Yi Sherry Zhang is an obesity genomics scientist, health tech entrepreneur, and leader in personalized nutrition. She is the founder of GenoPalate, a U.S.-based nutrigenomics company that uses DNA insights to help individuals make more informed, personalized food choices. With nearly two decades of experience bridging science and real-world health applications, she currently serves as Executive Director of External Strategy & Partnerships at the Buck Institute's Price Lab, where she focuses on advancing data-driven approaches to healthspan and longevity. Dr. Zhang is also the author of the Amazon bestseller The Founder Effect and a frequent speaker at major industry conferences including HLTH and the Precision Medicine World Conference. Jane Sponsorship Information: Book a one-on-one demo here Mention the code LITZY1MO for a free month Follow Dr. Karen Litzy on Social Media: Karen's Instagram Karen's LinkedIn Subscribe to Healthy, Wealthy & Smart: YouTube Website Apple Podcast Spotify SoundCloud Stitcher iHeart Radio

Dr. Monty Pal and Dr. Arturo Loaiza-Bonilla discuss the institutional risks in the use of artificial intelligence (AI) in clinical practice and how overreliance on AI could erode essential skills. They also highlight practical approaches, including routine "AI-off" drills, to help oncologists retain their decision-making agility. LINK TO FULL TRANSCRIPT

March 25, 2026 In this week's NARPM podcast episode, host Pete Neubig talks with Inaas Arabi, Chief Operating Officer at Block & Associates Realty,, about a failed AI implementation attempt and what he learned. Be a wise man and learn from others' mistakes. Inaas outlines the steps you need to take for a successful AI implementation.

Are finance teams implementing AI the wrong way? In episode #359, Ben Murray argues that many CFOs and finance leaders are approaching AI backward—focusing too much on prompts and quick wins rather than building the foundational data infrastructure required for meaningful, repeatable insights. Drawing from recent AI webinars and his experience building softwaremetrics.ai, Ben explains why SaaS metrics, retention, and cohort analysis should not rely on AI. Instead, these should be computed through structured, deterministic systems first—then enhanced with AI for deeper analysis and pattern recognition. Resources Mentioned My new metrics engine: https://softwaremetrics.ai/ My SaaSpocalypse post: https://www.thesaascfo.com/the-saaspocalypse-ai-agents-vibe-coding-and-the-changing-economics-of-saas/ What You'll Learn Why prompt-driven AI workflows are not scalable in finance The difference between deterministic systems and AI-driven analysis Why you don't need AI to calculate core SaaS metrics like retention or CAC payback The importance of structured data and clean data pipelines How AI should be layered on top of computed financial data—not raw inputs Why context windows and token usage matter when working with large datasets How AI can uncover insights (like expansion opportunities) that FP&A teams may miss Why It Matters Prompt-based workflows create inconsistency and lack of auditability Without structured data, AI outputs are unreliable and not repeatable Finance teams risk “prompt fatigue” without building scalable systems Deterministic calculations ensure accuracy for critical SaaS metrics and reporting AI delivers the most value when used for analysis—not basic computation Efficient data handling reduces token costs and improves performance

You're being told to use AI. But which tool you actually need to do your best work?Leaders and change practitioners everywhere feel the same pressures right now — more meetings, more information, more mandates to adopt AI — with less time to think and less clarity about where to start. And most of the advice begins in the wrong place: with the tool.In this episode of Chain of Learning, I talk with Barry O'Reilly, bestselling author of Unlearn and Lean Enterprise, and author of the new book Artificial Organizations, about why the real opportunity with AI isn't automation. It's better judgment.Barry shares examples from his work with Fortune 500 executives who are successfully pairing human instinct with machine insight — not by adopting every new tool, but by understanding how they work, where judgment matters most, and what needs to be unlearned along the way. It's about letting go of the belief that your expertise is your competitive advantage, and starting to see AI not as a replacement, but as a thinking partner that can sharpen your clarity, your presence, and your preparation.In this episode, you'll learn:Why starting with the tool is the wrong place to start — and what to do insteadHow to identify your natural traits and highest-leverage tasks as the foundation for working with AIThe unlearning required to shift from relying on instinct alone to combining human judgment with machine insightHow successful leaders are using AI to pressure-test ideas and show up more prepared and presentWhy the skills that make you more effective with AI are the same skills that make you more influential with peopleWhere does judgment matter most in your role right now — and what might you need to unlearn to create space for a better way of working?ABOUT MY GUEST: Barry O'Reilly is the bestselling author of Unlearn and co-author of Lean Enterprise. He hosts the Unlearn Podcast and is co-founder of Nobody Studios, an AI-driven venture studio. His newest book, Artificial Organizations, is a practical guide for leaders ready to combine human and machine intelligence to make better decisions faster. Barry O'Reilly is also giving away a copy of Artificial Organizations to THREE lucky winners!Artificial Organizations explores how leaders can combine human judgment with AI to make better decisions in an increasingly complex world. Instead of focusing on AI tools, the book shows how organizations must redesign how leaders think, work, and make decisions so technology enhances clarity rather than amplifies confusion. It presents a practical leadership system for using AI as a thinking partner to improve judgment, reduce decision overload, and lead more effectively.Register now to enter the giveaway!IMPORTANT LINKS:Full episode show notes with links to other podcast episodes and resources: ChainOfLearning.com/69 Check out my website for resources and ways to work with me KBJAnderson.comConnect with Barry O'Reilly: linkedin.com/in/barryoreilly Follow me on LinkedIn: linkedin.com/in/kbjandersonCheck out Barry O'Reilly's book, Artificial Organizations: artificialorganizations.com Subscribe to my newsletter: kbjanderson.com/newsletter Learn more about my coaching, trusted advisor partnerships, and leadership learning experiences: organizations@kbjanderson.com RELATED LINKS:Unlearn Podcast | Intentional Leadership with Katie AndersonEpisode 59 | Get Better at Getting Better: Leveraging AI to Elevate Human Learning with Nathen HarveyTIMESTAMPS FOR THIS EPISODE:02:28 Where to start on adopting AI05:04 Importance of understanding natural traits and strengths before looking into AI tools07:12 Defining the problem first before looking for the tool to close the gap08:17 Why some may see AI as a deflection tool09:02 How to use AI for synthesizing data rather than rudimentary tasks12:28 Why judgment is the leadership advantage and leveraging AI to make better judgment12:38 Using decision velocity to improve decision making13:35 Decision advantage in synthesizing data to make a decision14:35 The difference between AI and human strengths in decision making16:26 Unlearning how you work to make progress19:32 Why human thinking plus machine equals a better outcome20:28 Examples of how to use AI to be the best business and thinking partner24:46 Importance of asking the right questions when brainstorming with AI26:06 The limitations of AI and knowing how to use it to your advantage30:18 How technology can help us be make a bigger impact33:12 The loss of psychological safety when implementing AI and unlearning this fear35:35 Better results when teams collaborate with AI vs. doing it independently36:06 Shifting from control based learning mindset to influence based learning mindset for continuous improvement37:54 Implementing AI to be the most effective in your organization40:34 How to start building an AI stack knowing your natural traits, one or two tasks, and then experimenting with an AI tool42:54 The skills that make us more effective with machines to increase influence43:16 Questions for reflection on how to implement AI in your organization Enter to win a copy of Barry's book here: https://kbjanderson.com/giveaways/book-giveaway-artificial-organizations

Are your employees telling you they're overwhelmed — but the work still looks like it's getting done? Or are you throwing people into the deep end on day one and wondering why they're burning out or checking out?The problem might not be the people. It could be that you don't have a shared language for capacity.In this episode, Martin and Khalil break down a simple but powerful framework for understanding where your employees are at — and what to do about it. You'll walk away with a mental model you can start using in your next one-on-one.Key Topics & Timestamps00:53 - Why “Overwhelmed” Means Different Things to Different People03:01 - A Real Hiring/Onboarding Example: The “Overwhelmed” Employee Who's Doing Great04:00 - The 4 Performance Zones Framework (Green/Yellow/Orange/Red)10:04 - Deep Dive: What Green, Yellow, Orange, and Red Actually Look Like16:46 - Make It Actionable: Teach the Zones + Manager Moves for Each Color19:17 - Normalize the Yellow Zone: Growth, Challenge, Reflection (and Wrap-Up)Key TakeawaysDefine what each performance zone looks like for each role in your company — green for your office manager looks different than green for your field lead.Make the zones part of your company language: teach them to your team, post them, and reference them in every one-on-one.Ask "What zone are you in?" regularly — not just during formal reviews, but in passing conversations.When an employee hits the orange zone, look at what you've assigned them before blaming their capacity; it's usually a management decision that got them there.If someone lands in the red zone without warning, that's a sign they weren't communicating — and a sign the environment didn't make it safe to.Don't mistake a comfortable employee for a productive one; if someone's in the green zone in year one, you're leaving their growth on the table.Apply the growth equation to every stretch assignment: challenge them, then give them structured time to reflect on what they learned before adding the next thing.Resources⁠Drive by Daniel Pink "When Things Are Hopeless" article ⁠⁠⁠⁠Implementing AI in Your Business Workshop Sign-Up ⁠⁠⁠⁠⁠24 Things⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Construction Business Owners Need to Successfully Hire & Train an Executive Assistant⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Schedule⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ a 15-Minute Roadblock CallBuild a Business that Runs without you. Explore our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ GrowthKits⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Need Marketing Help? We Recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Benali⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need Help with podcast production? We recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Demandcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Checkout ⁠⁠⁠⁠⁠⁠Quo⁠⁠⁠⁠⁠⁠ More from Martin Holland⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠theprofitproblem.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠annealbc.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠benali.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from The Cash Flow ContractorSubscribe to our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow On Social:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X(formerly Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Cashflow Contractor

Are you the only person your builders call when something goes wrong? Most subcontractor owners don't realize they've accidentally become their company's full-time account manager, and it's the reason they can't step away from the business.In this episode, Khalil and Martin break down why this happens, what an account manager actually does (and how it's different from a project manager), and how to build this role into your company so you can stop being the bottleneck.What You'll LearnThe critical difference between an account manager and a project manager, and why confusing them creates chaosWhat the full account manager workflow looks like from discovery and onboarding through post-installHow to find, develop, and compensate the right person for this role inside your companyWhy proactive communication changes the power dynamic between subs and buildersHow to use the 80/20 rule to decide which builder accounts deserve dedicated managementKey Topics & Timestamps01:00 - Episode Intro06:54 - Account Manager vs. Project Manager: Process vs. People + One Point of Contact14:48 - Hiring & Incentivizing Great Account Managers (Homegrown Traits + Pay Structure)18:49 - What Great Account Managers Actually Do (Advocate, Proactive, Problem-Solver)23:47 - Defining the Role: Not Sales, Not PM — Owning the Builder Relationship26:24 - The Account Manager Workflow: Onboarding → Pipeline → Quote → Production → Post-Install + Scaling Tips Key TakeawaysIf every builder calls you directly when something goes wrong, you've become your company's account manager, whether you intended to or notStart building this role by documenting exactly what you do for your top builder relationships so the process can eventually be transferredGrow your account manager internally; external hires lack the institutional context needed to be effectiveThe account manager must have full context across sales, production, and install to make the same quality decisions you wouldCompensate this role well with a strong base plus account-based incentives; they are essentially an inside salesperson for your most valuable relationshipsBegin with one key account and your most reliable employee before expandingResourcesTodd Hagopian and the 80/20 (Pareto) principle for prioritizing accounts⁠⁠⁠Implementing AI in Your Business Workshop Sign-Up ⁠⁠⁠24 Things⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Construction Business Owners Need to Successfully Hire & Train an Executive Assistant⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Schedule⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ a 15-Minute Roadblock CallBuild a Business that Runs without you. Explore our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ GrowthKits⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Need Marketing Help? We Recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Benali⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need Help with podcast production? We recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Demandcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Checkout ⁠⁠⁠⁠⁠Quo⁠⁠⁠⁠⁠ More from Martin Holland⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠theprofitproblem.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠annealbc.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠benali.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from The Cash Flow ContractorSubscribe to our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow On Social:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X(formerly Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Cashflow Contractor

When Tony Xu cofounded DoorDash 13 years ago, he was rejected by more than 100 investors. Today, it's a $70B+ behemoth dominating the delivery industry. Tony joins SPC General Partner Aditya Agarwal to reveal how DoorDash won the delivery war and answer the burning question of whether AI agents pose a threat to his company. He also shares why customer obsession became the company's guiding principle, the challenges of digitizing the physical world, and how startups today can build competitive advantages in the age of AI. Tony Xu: https://www.linkedin.com/in/xutony/ Aditya Agarwal: https://www.linkedin.com/in/adityaagarwal3/South Park Commons: https://www.linkedin.com/company/southparkcommons/Apply to SPC: https://www.southparkcommons.com/applyChapters:(00:00:00) - Intro (00:01:00) - Becoming a founder(00:11:48) - Implementing AI and customer obsession (00:18:22) - Is AI a threat to DoorDash? (00:21:29) - Digitizing the physical world(00:25:31) - Company culture and values (00:31:33) - Tony's unpopular business opinion (00:37:42) - How to stay curious and motivated (00:39:31) - Preparing children for the new age (00:42:47) - Audience Q&A

What if the best advice for training AI agents is actually the missing piece in how you manage your team? Khalil breaks down the "How to Hire an AI" playbook and reveals how its five core elements: persistence, identity, tools, autonomy, and accountability, are the exact framework contractors need to transform their employee management. This episode isn't about technology; it's about finally giving your team the clarity, tools, and trust they need to take work off your plate.What You'll LearnThe five elements every AI agent needs (and why your employees need them too)How to create a "trust ladder" that gives employees autonomy without micromanagingWhy closing loops proactively is the difference between good employees and great onesThe three-layer memory system that makes knowledge stick in your companyHow to set up team rhythms that actually get followed when stress hitsTime Stamps00:47 - Episode Intro02:56 - The Five Key Elements of Training AI and Employees07:31 - Implementing AI and Employee Management Strategies18:54 - Understanding Autonomy and Trust in AI19:38 - Effective Communication and Loop Management23:05 - Establishing Rhythms and Leveraging AISnippets from the Episode"Employees want to be autonomous in their role. They want to be able to become a master of what they're doing. They want meaningful work that's challenging and that they can own." - Khalil BenalioulhajKey TakeawaysThe Five Elements Framework: Persistence, Identity, Tools, Autonomy, AccountabilityGive Your Team Permission to Push BackThe Three-Layer Memory System for Your CompanyMinimum Authority Principle: Start Small, Expand Trust Over TimeThe Trust Ladder: Define What Autonomy Looks Like at Each LevelClose Loops Proactively or They'll Live in Your Head ForeverEstablish Rhythms Now So You Have Them When Chaos HitsResources⁠⁠Implementing AI in Your Business Workshop Sign-Up ⁠Claude AI⁠⁠CompanyCam⁠⁠Granola AI⁠⁠Wispr Flow⁠⁠24 Things⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Construction Business Owners Need to Successfully Hire & Train an Executive Assistant⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Schedule⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ a 15-Minute Roadblock CallBuild a Business that Runs without you. Explore our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ GrowthKits⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Need Marketing Help? We Recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Benali⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need Help with podcast production? We recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Demandcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Checkout ⁠⁠⁠⁠Quo⁠⁠⁠⁠ More from Martin Holland⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠theprofitproblem.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠annealbc.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠benali.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from The Cash Flow ContractorSubscribe to our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow On Social:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X(formerly Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Cashflow Contractor

Ted Thatcher says the market is struggling to find firm footing as we go through the largest technological buildout in human history. Markets have to digest the huge price tags, he continues, but the Street has reason to question that spend. He thinks Meta Platforms (META) is the best at implementing AI, citing higher ad impressions in its latest report. Ted also covers the outlook for Amazon (AMZN) and Alphabet (GOOGL), as well as what he thinks is next for SaaS companies threatened by AI.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

  In this episode of the Profitable Christian Business Podcast, Doug Greathouse sits down with John Munsell, CEO of Bizzuka and author of INGRAIN AI: Strategy Through Execution, to unpack why most businesses struggle with AI — and what Christian leaders can do differently. John explains that AI failure is rarely a technology issue. Instead, it's a strategy and leadership problem. Without a unified approach, companies save time but fail to generate real value or revenue. This conversation explores how AI can become a force multiplier rather than a distraction, why AI fluency must be shared across teams, and how faith and stewardship should guide AI adoption. John also shares practical guidance for solopreneurs and leaders who feel overwhelmed by how fast AI is moving. If you're a business owner, leader, or solopreneur who wants to implement AI wisely, ethically, and profitably, this episode provides both clarity and direction. What You'll Learn in This Episode: Why AI is a strategy problem, not a tech problem The difference between saving time and creating revenue Why most companies fail without a unified AI framework How AI can enhance people instead of replacing them Why AI fluency should exist across the entire organization How Christian leadership shapes ethical AI deployment Practical AI advice for solopreneurs and small teams Key Quotes: "They lack a unified strategy." "AI can shape culture and behavior." "You need to be a good steward of those gifts." ⏱️ Episode Chapters 00:00 – Introduction to John Munsell and AI in Business 04:50 – John's Journey into AI and Market Trends 09:42 – Why Unified Strategy Matters 14:34 – Turning AI Into Revenue 19:49 – AI for Solopreneurs 29:30 – The Blueprint for AI Adoption 31:14 – Implementing AI the Right Way 32:43 – Why AI Adoption Fails 37:01 – Building an AI-First Culture 38:38 – Scalable Prompt Engineering Explained 44:15 – Taking the First Step with AI 47:20 – Seeking Wisdom in a Rapidly Changing World 52:12 – Faith, Ethics, and Responsibility in AI 54:58 – Resources for Implementing AI

In this episode, Katie Noe, Product Marketing Manager at Bizzabo, joins Louise Liu to share her journey of implementing AI in competitive intelligence. Katie breaks down her workflow step by step, from how things worked before AI to what's changed since, and the impact it's had across product marketing and her cross-functional partners.For more information; check out Katie's article: How I Built a Win/Loss Program Without the "Right" Resources.All rights reserved. © Product Marketing Hive.

In this episode, Katie Noe, Product Marketing Manager at Bizzabo, joins Louise Liu to share her journey of implementing AI in competitive intelligence. Katie breaks down her workflow step by step, from how things worked before AI to what's changed since, and the impact it's had across product marketing and her cross-functional partners.For more information; check out Katie's article: How I Built a Win/Loss Program Without the "Right" Resources.All rights reserved. © Product Marketing Hive.

Brannigan Thompson, EVP and Chief Human Resources Officer at Voya Financial, joins host Dave Hennessy to discuss Voya's strategic shift and what it means for talent strategy. Brannigan shares how his experience living and working in the Netherlands early in his career shaped his leadership approach, and how Voya is now designing its organization for the future rather than around current talent. Key topics: - Designing structure and success profiles for where the business will be in 3-5 years - Implementing AI agents in HR, including interview scheduling and development planning - Voya's four cultural pillars: customer obsession, AI and automation, performance, and quality fundamentals - Why Voya helps employees discover their individual purpose—even when they choose to leave - The importance of continuous performance feedback and measurable KPIs Plus: Keystone's Coach's Corner with Shawna Simcik on the difference between kind and nice leadership.

Today, we are thrilled to welcome Ethan King as our guest. Ethan is an entrepreneur and author who coaches individuals on AI through the Entrepreneurs' Organization (EO). He joins us today to share insights on entrepreneurship, books, and life. He also explains how small business owners can implement AI. Stay tuned as Ethan breaks down practical AI strategies that any entrepreneur can start using today. Ethan's Journey Ethan has been an entrepreneur for 25 years. He began with a passion for art and a pivot into graphic design. While in college, a class project evolved into a real e-commerce business supplying fraternity and sorority gear. Over time, he expanded into Zeus Closet, a retail and custom apparel business serving entertainment, corporate, and educational markets. Starting with only $700 alongside his future wife and business partner, Ethan emphasizes creative problem-solving and simplicity in business. His focus on automation began in 2011 and eventually evolved into AI, which he has been teaching and applying in practical ways across his businesses for the past three years. Entrepreneurs' Organization (EO) and Accelerator Ethan considers EO and its Accelerator program his practical MBA. After joining EO in 2014, he applied systems and frameworks to scale his businesses, focusing on people, cash, strategy, and execution. Since then, he has coached other entrepreneurs through the Accelerator program, helping them reach the million-dollar revenue milestone. He highlights the value of peer learning, mentorship, and surrounding oneself with a like-minded community as essential elements for business growth. Wealth Beyond Money In his book Wealth Beyond Money, Ethan introduces his six dimensions of success: spirituality, intellect, money, physical presence, love, and entertainment, spelling SIMPLE. He recommends constant calibration across those areas, rather than balance. The book, inspired by a TEDx-style talk in 2014, became a bestseller in multiple categories. The AI Evolution After his wife introduced him to ChatGPT in 2022, Ethan immediately implemented it in his businesses and demonstrated its power to other EO marketing chairs. Recognizing the demand, he began teaching AI strategies to business owners and wrote ChatGPT to Double Your Business in 90 Days. He updates the book continuously, providing readers with fresh content and practical tools for implementing AI efficiently. Implementing AI in Business Ethan used AI in his own business as a testing ground before he began teaching others, applying tools like voice agents, social media automation, and custom AI solutions to improve efficiency and scale operations with minimal resources. His approach focuses on practicality, so he only teaches methods that genuinely benefit everyday business owners in B2B and B2C contexts. Perspective on AI Adoption Ethan has noticed that most entrepreneurs are aware of AI but are barely scratching the surface. Experts using AI are rare, while some people remain resistant. He highlights proactive learning, noting that AI will replace jobs for those who ignore it, but can create opportunities for those who embrace it. He draws parallels to past technological shifts to illustrate the transformative potential of AI. Work-Life Integration and Partnership Ethan explains that working with his wife in business has strengthened their relationship. She handles operational responsibilities while he focuses on vision and creativity. He stresses the importance of shared goals and complementary roles, describing their partnership as a battlefield collaboration that builds resilience and alignment. Year-End Advice for Small Business Owners Ethan recommends three key actions: invest in AI learning and team training, upgrade necessary equipment and software, and intentionally reflect and plan for the upcoming year. He encourages people to create vision movies as a tool to emotionally engage with people's personal and business goals, integrating reflection and planning into a meaningful process that drives results. Connect with Eric Rozenberg On LinkedIn Facebook Instagram Website Listen to The Business of Meetings podcast Subscribe to The Business of Meetings newsletter Connect with Ethan King On his Website LinkedIn  

Most enterprises have roadmaps stretching 3-5 years out. What if you could compress that to 1-2 years? Brian Elliot is the Co-Founder and CEO of Blitzy, an enterprise-focused autonomous software development platform tackling one of technology's toughest problems: how do you modernize 20-100 million lines of legacy code when the developers who wrote it retired 15 years ago?In this episode, Brian explores:Why orchestrated AI agents can handle 80% of transformation work autonomously (and why humans still matter for the other 20%)The realities of enterprise buying cycles and why embedded on-site teams accelerate change managementWhy documentation and test coverage are the unsexy first steps that make everything else possibleAbout the Guest: Brian Elliott is CEO and Co-founder of Blitzy. A serial entrepreneur, former Infantry Officer with the 1st Ranger Battalion, and West Point graduate in Systems Engineering with a Harvard MBA, Brian brings a unique blend of military precision, engineering expertise, and entrepreneurial vision to transforming enterprise software development.As CEO, Brian leads Blitzy's mission to empower systematic AI adoption across enterprises, transforming traditional development lifecycles into AI-native workflows. Under his leadership, Blitzy has developed an agentic platform where thousands of specialized AI Agents cooperate at inference to autonomously deliver enterprise-scale code that is tested, validated, and compiled.Focused on operational deployment at scale, Brian architected the company's proven Agentic SDLC Accelerator—a structured methodology that systematically guides engineering organizations from technical validation to full-scale enterprise adoption. This framework unlocks autonomous capabilities across the complete software development lifecycle.Timestamps:01:25 – Understanding Blitzy's AI Capabilities03:25 – Challenges and Solutions in Enterprise Software06:00 – The Genesis of Blitzy07:30 – Insights from Nvidia and AI Development11:00 – Implementing AI in Enterprise Systems18:00 – Change Management and Customer Collaboration20:30 – Understanding Enterprise Security Needs25:10 – Improving Code Quality and Test Coverage28:15 – Blitzy's Mission and Market Direction30:10 – Challenges and Opportunities in Enterprise SoftwareGuest Highlight:"Code is beautiful in that it's verifiable. We're following enterprise best practices—everything goes to a dev branch where a human can look at it, review it, go through a typical QA process. The first thing we're gonna do is document their code so they know what's going on, then add test cases, then develop software at scale that's highly verifiable."Get Connected:Brian Elliot on LinkedInYousuf Kahn on LinkedInIan Faison on LinkedInHungry for more tech talk? Check out past episodes at ciopod.com: Ep 62 - Running IT Like a Growth EngineEp 61 - What Manufacturing Can Teach You About Scaling Enterprise AIEp 60 - Why the Smartest CIOs Are Becoming Business StrategistsLearn more about Caspian Studios: caspianstudios.comOur Sponsor: This episode is brought to you by Blitzy, the Enterprise Autonomous Software Development Platform with Infinite Code Context. Blitzy uses thousands of specialized AI agents that think for hours to understand enterprise scale codebases with millions of lines of code.Enterprise Engineering leaders start every development sprint with the Blitzy platform, bringing in their development requirements. The Blitzy platform provides a plan, then generates and pre-compiles code for each task. Blitzy delivers 80%+ of the development work autonomously, while providing a guide for the final 20% of human development work required to complete the sprint.Public companies are achieving a 5x engineering velocity increase when incorporating Blitzy as their Pre-IDE development tool, pairing it with their coding co-pilot of choice to bring an AI-Native SDLC into their org.Visit Blitzy.com and press book demo to learn how Blitzy transforms your SDLC from AI Assisted to AI Native. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Ryan Deiss shares his insights on the impact of AI on business and marketing. He discusses the uncertainty surrounding the future, the shift in consumer behavior towards AI-driven results, and the steps his companies are taking to adapt. Ryan elaborates on the strategic pivot at Digital Marketer, transitioning from traditional training to leveraging AI tools trained on proprietary IP. He also provides practical advice on how businesses can audit and implement AI to improve efficiency and drive growth. Whether you're an entrepreneur, marketer, or business owner, this episode is a must-watch to understand the transformative potential of AI in today's market. 00:00 Uncertainty in the Age of AI 00:38 Exploring Ryan Deiss' Marketing Empire 01:25 Navigating Market Conditions and Deal Strategies 05:19 Reviving Businesses: The Process 12:08 The Role of AI in Business Optimization 19:32 AI's Impact on the Information and Coaching Industry 25:59 AI Integration in Business Operations 32:35 Future of Work: AI and Human Roles 36:40 AI's Influence on Business Valuations 39:21 Implementing AI in Portfolio Companies 41:36 AI Integration in the Workplace 42:26 Challenges and Fears of AI Adoption 43:23 AI as a Competitive Advantage 43:59 AI in Marketing and Acquisitions 44:45 The Future of AI in Business 48:26 Implementing AI for Efficiency 55:55 The Rise of AI Agents 01:03:50 AI's Impact on Employment and Economy 01:08:05 Digital Marketer's AI Pivot 01:17:47 Final Thoughts and Reflections

Tomer Cohen is the longtime chief product officer at LinkedIn, where he's pioneering the Full Stack Builder program, a radical new approach to product development that fully embraces what AI makes possible. Under his leadership, LinkedIn has scrapped its traditional Associate Product Manager program and replaced it with an Associate Product Builder program that teaches coding, design, and PM skills together. He's also introduced a formal “Full Stack Builder” title and career ladder, enabling anyone from any function to take products from idea to launch. In this conversation, Tomer explains why product development has become too complex at most companies and how LinkedIn is building an AI-powered product team that can move faster, adapt more quickly, and do more with less.We discuss:1. How 70% of the skills needed for jobs will change by 20302. The broken traditional model: organizational bloat slows features to a six-month cycle3. The Full Stack Builder model4. Three pillars of making FSB work: platform, agents, and culture (culture matters most)5. Building specialized agents that critique ideas and find vulnerabilities6. Why off-the-shelf AI tools never work on enterprise code without customization7. Top performers adopt AI tools fastest, contrary to expectations about leveling effects8. Change management tactics: celebrating wins, making tools exclusive, updating performance reviews—Brought to you by:Vanta—Automate compliance. Simplify security: https://vanta.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-linkedin-is-replacing-pms—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180042347/my-takeaways-from-this-conversation—Where to find Tomer Cohen:• LinkedIn: https://www.linkedin.com/in/tomercohen• Podcast: https://podcasts.apple.com/us/podcast/building-one-with-tomer-cohen/id1726672498—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Tomer Cohen(04:42) The need for change in product development(11:52) The full-stack builder model explained(16:03) Implementing AI and automation in product development(19:17) Building and customizing AI tools(27:51) The timeline to launch(31:46) Pilot program and early results(37:04) Feedback from top talent(39:48) Change management and adoption(46:53) Encouraging people to play with AI tools(41:21) Performance reviews and full-stack builders(48:00) Challenges and specialization(50:05) Finding talent(52:46) Tips for implementing in your own company(56:43) Lightning round and final thoughts—Referenced:• How LinkedIn became interesting: The inside story | Tomer Cohen (CPO at LinkedIn): https://www.lennysnewsletter.com/p/how-linkedin-became-interesting-tomer-cohen• LinkedIn: https://www.linkedin.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Devin: https://devin.ai• Figma: https://www.figma.com• Microsoft Copilot: https://copilot.microsoft.com• Windsurf: https://windsurf.com• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• APB program at LinkedIn: https://careers.linkedin.com/pathways-programs/entry-level/apb• Naval Ravikant on X: https://x.com/naval• One Song podcast: https://podcasts.apple.com/us/podcast/%D7%A9%D7%99%D7%A8-%D7%90%D7%97%D7%93-one-song/id1201883177• Song Exploder podcast: https://songexploder.net• Grok on Tesla: https://www.tesla.com/support/grok• Reid Hoffman on X: https://x.com/reidhoffman—Recommended books:• Why Nations Fail: The Origins of Power, Prosperity, and Poverty: https://www.amazon.com/Why-Nations-Fail-Origins-Prosperity/dp/0307719227• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• The Beginning of Infinity: Explanations That Transform the World: https://www.amazon.com/Beginning-Infinity-Explanations-Transform-World/dp/0143121359—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

There are a lot of ongoing changes happening with SEO and how user behavior is changing with AI. It's hard enough to keep up with as a web designer…I can't imagine as a client!But someone who's doing a great job keeping their SEO clients in-the-know and updated every step of the way is Lindsay Halsey, co-founder of SEO agency webshine.comShe shares how they're implementing AI SEO, how it's changing their current offers, pricing and what they're not changing.Head to the show notes to get all links and resources we mentioned, along with a full transcription of this episode at joshhall.co/407My 2023 Black Friday Sale is ON!!All Web Design Courses are 30% OFF.

Jeanne DeWitt Grosser built world-class GTM teams at Stripe, Google, and, most recently, Vercel, where she serves as COO and oversees marketing, sales, customer success, revenue operations, and field engineering. She transformed Stripe's early sales organization from the ground up and advises founders on GTM strategy.We discuss:1. Why GTM is becoming more strategically important in the AI era2. The rise of the GTM engineer3. A primer on segmentation4. How to build a sales org that engineers and product teams respect5. The changing calculus of build vs. buy for go-to-market tools in the AI era6. Why most customers buy to avoid pain rather than to gain upside—Brought to you by:Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyLovable—Build apps by simply chatting with AI: https://lovable.dev/Stripe—Helping companies of all sizes grow revenue: https://stripe.com/—Transcript: https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/179503137/my-biggest-takeaways-from-this-conversation—Where to find Jeanne DeWitt Grosser:• X: https://x.com/jdewitt29• LinkedIn: https://www.linkedin.com/in/jeannedewitt—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jeanne DeWitt Grosser(05:26) Defining go-to-market(08:43) The evolution of go-to-market roles(11:23) The rise of the go-to-market engineer(14:21) Implementing AI in sales processes(15:28) Optimizing sales with AI agents(23:47) Defining sales roles: SDRs and AEs(26:04) When to hire a GTM engineer(29:04) Hiring and scaling sales teams(30:50) The ideal go-to-market engineer(34:24) The go-to-market tool stack(40:39) Advice on building a great sales bot(44:34) Vercel's unfair advantage(46:37) Go-to-market as a product(47:04) Innovative sales tactics at Stripe(52:38) Effective go-to-market tactics(01:00:37) Segmentation strategies(01:09:31) Building a sales org that engineers love(01:14:00) Thoughts on PLG and pricing(01:16:44) Sales compensation and hiring(01:19:24) Lightning round and final thoughts—Referenced:• Vercel: https://vercel.com• Stripe: https://stripe.com• Rosalind Franklin: https://en.wikipedia.org/wiki/Rosalind_Franklin• Ben Salzman on LinkedIn: https://www.linkedin.com/in/bensalzman• SDK: https://ai-sdk.dev/docs/introduction• Gong: https://www.gong.io• Lyft: https://www.lyft.com• Instacart: https://www.instacart.com• DoorDash: https://www.instacart.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Kate Jensen on LinkedIn: https://www.linkedin.com/in/kateearle• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• Atlassian: atlassian.com—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

What does it actually look like to start using AI in a meaningful way inside your law firm? That is the question Melissa explores with legal technology consultant Ernie Svenson in this follow-up conversation on the future of AI and its impact on lawyers. Instead of trying to learn every tool or waiting for the perfect moment to start, Ernie explains why consistent use is the real driver of progress and why treating AI like learning a new language helps you build confidence over time.   Melissa and Ernie discuss why many lawyers approach AI implementation with hesitation and how simple, immediate payoffs can remove the barriers that keep firms from moving forward. They talk through examples of how AI can support everyday work in a law firm, how to think about choosing tools, and why the value comes from using AI in real situations rather than studying it in theory. They also explore the role of community and conversation in building practical skills, especially when the technology is evolving so quickly.   Let's talk! If you are a law firm owner looking to talk with us about partnering on your personal and professional growth, book a short, free, no-pressure call with Melissa here: https://velocitywork.com/calendar   Get full show notes, transcript, and more information here: https://www.velocitywork.com/337   Watch this episode on YouTube: https://youtube.com/@velocitywork

Watch the YouTube version of this episode HEREAre you an entrepreneur looking to grow and thrive in the legal space? In this episode of the Maximum Lawyer Podcast, Tyson interviews Matt Anderson, an attorney and real estate investor, about his unconventional journey blending law, entrepreneurship, and property investing. Matt shares lessons from multi-level marketing and business ownership and emphasizes the importance of hiring for culture fit.For lawyers who are new to the entrepreneurial space, it is possible to build a firm that runs on minimal daily involvement. In order to do this, you need to let go of a lot of the day to day work of practicing law as well as partner and hire individuals who can help you achieve that. Partner with another lawyer who has the same vision as you. After that, look at hiring good lawyers who will do all the necessary work that will bring you success. That way, you can spend your day doing what you want to do.Matt provides some insights on hiring staff based on culture and character, rather than experience. One way to do this is utilizing personality tests, inner metrics and multiple interviews to find the right fit. For Matt, anyone can learn a skill or aspects of a job. But, not everyone has the character or personality to work for a certain firm. As an owner, you need to determine what kind of firm you want to run and hire people based on what matters to you most.Listen in to learn more!2:01 Creative Side Hustles in Law School4:13 Building a Business, Not Just Practicing Law9:44 Hiring and Personality Fit16:32 Buying Law Firm Real Estate 23:23 Creative Financing and Seller Deals 25:12 Renting vs. Owning Your Home29:24 AI as a Law Firm Leveler32:13 Preventing Lifestyle Creep in Law Firms34:06 Impact of AI and the Future of Office Space43:36 Who Runs the Firm?47:20 Biggest Surprises in Partnership 49:40 Implementing AI in the Firm53:03 The Role of Hard Work in Success 58:03 Importance of Emotional Intelligence (EQ)Connect with Matt:Website  LinkedIn  Tune in to today's episode and checkout the full show notes here. 

My guest today is Jesse Zhang. Jesse is the co-founder and CEO of Decagon, one of the fastest-growing AI customer service companies. Decagon provides a centralized AI engine to auto-resolve issues at any time, in every language, and across every channel. Jesse shares his systematic approach to finding product-market fit by asking potential customers exactly how much they'd pay for solutions. We explore why customer service and coding have emerged as the two clearest AI use cases for enterprises, and the key business and technical factors behind Decagon's momentum. We discuss the intense competitive dynamics of building in AI today, strategic decisions around building proprietary models, and deploying AI agents at enterprise scale. Please enjoy my conversation with Jesse Zhang. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:49) Building a Company in a Competitive Market (00:07:26) Personal Background and Competitive Upbringing (00:10:32) Challenges and Lessons from Previous Ventures (00:12:21) Ideation and Customer Discovery Process (00:19:31) Developing and Refining AI Customer Service Agents (00:32:26) Voice AI and Future Prospects (00:38:20) Utilizing Customer Interaction Data (00:39:59) Frameworks for Implementing AI in Business (00:41:48) Evaluating the ROI of Coding Agents (00:42:53) The Future of Company Agents (00:45:15) Brand Personality in AI Agents (00:47:48) Investor Interest in AI Companies (00:54:32) The Competitive Landscape of AI Talent (00:57:21) Building Proprietary AI Models (01:10:36) Customer Qualification and Engagement (01:17:27) The Kindest Thing

Scott and Wes dive into the fundamentals of project initialization and planning, from outlining ideas and choosing the right tools to making smart technology decisions. They also chat about leveraging AI and collaboration to shape better projects before rolling up your sleeves and getting to work. Show Notes 00:00 Welcome to Syntax! 02:12 Brought to you by Sentry.io. 04:03 Make a plan. 04:06 Start with an outline and let it evolve. 05:59 Mind-Mapping software vs plain text. 08:49 Utilizing LLMs for alternative perspectives. 09:58 Utilizing humans for alternative perspectives. 11:17 Making technology choices. 13:24 Assessing the project's actual needs. 13:30 Is this a long-term project? 15:43 Is this project Open Source? 16:09 Are you working in a team? 18:12 Are you prioritizing learning? 19:48 Pick technologies with proven compatibility. 20:17 Implementing AI. 20:44 Steering docs. 26:24 Get to work and break stuff. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads