Podcasts about workflows

Nick Holzherr is originally from the Switzerland, but moved to UK when he was 7 years old, to the countryside. He had no real touch to computers until he was 18, when he attended university and everything picked up for him, tech wise. Eventually, he got into building businesses, and of those, he founded a coffee company, HR software company, and whisk.com, which was sold to Samsung in 2019. Outside of tech, he is the father to two young children. He enjoys skiing and snowboarding, and jokingly, he admits that running around ensuring his agents are prompted gets in the way of his family and hobby life. Through his entrepreneurial adventures, Nick spent large sums of money on legal contracts, ensuring that the i's were dotted and the t's were crossed. While he still feels that lawyers are very important and needed for certain scenarios, Nick wanted to create a way to level the playing field for small businesses, in the legal arena. This is the creation story of GitLaw. Linkshttps://git.law/https://nickholzherr.com/https://www.linkedin.com/in/nickholzherr/ Current Sponsors: Tiger Data Protected Harbor Render Fitnexa Perplexity Entelligence Checkout our Stacklist! https://stacks.codestory.co/ Hosted by Noah Labhart | Technical Founder & Startup Mentor. Our Sponsors:* Check out Granola and use my code granola.ai/CODESTORY for a great deal: https://granola.ai* Check out Perplexity and use my code CODESTORY for a great deal: https://www.perplexity.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

AI coding agents can produce software faster, but they do not replace the judgment needed to understand the system.Shaun Patterson, CTO at Titan, joins The Tech Trek to discuss how agentic coding is changing problem solving, development workflows, project management, and technical hiring.Shaun explains why engineers still need a strong mental model of the systems they are building. AI can generate code, reproduce bugs, research implementation options, and automate repeated debugging work. But it can also keep working on the wrong problem long after a human debugger would have found the answer.The conversation also gets into a bigger shift in software delivery. If agents can work across much larger pieces of a project, engineering teams may move from managing work at the story level to working at the epic level.Key Takeaways• AI speeds up implementation, but engineering judgment still matters.• Repeated debugging work can become reusable agent skills.• Faster implementation lowers the cost of testing different technical approaches.• Hiring increasingly needs to measure how engineers work with AI.Highlights02:08 Why AI can abstract work, but not engineering wisdom06:04 Turning repeated debugging sessions into reusable agent skills09:47 Why faster development may change traditional project management12:42 Moving engineering work from stories to epics16:19 Where agentic coding still creates problems19:29 How Titan evaluates engineers who use AIOne Line That Stuck“It abstracts your thinking, but it doesn't abstract your wisdom.”Follow The Tech Trek for more conversations with the people building and leading technology companies.

Info hunting and juggling sound familiar? It's the downfall of almost any business leader. Where is that email from Emily? Why can't I find last quarter's budget in Drive? Oh, and Keenen needs an answer back on that research project. Oh shoot, I swear Caleb confirmed the expenses in one of these Slack channels. You're off an information rabbit hole and by the time you find that Slack message, you already forgot what Emily's email said. Hit home? Well, as AI models expand to Coworking and Scheduled agents, we have a new best friend that doesn't really have a name. (Until we randomly named it. Lolz) Scheduled Agentic Context Carry. You need to know what it is, why it's important, and how to use it. We'll dive in. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Scheduled Agentic Context Carry (SACC) ExplainedAI Agents: Features vs. Benefits ParadigmCo-Working and Scheduled AI Workflow ShiftPersistent Context and Memory in AI AgentsLarge Language Models' 1,000,000 Token Context WindowsWorkflow Automation: Eliminating Human-AI Duct TapeMulti-App Integration and Cross-Platform ContextThree Steps to Deploy Scheduled Agentic Context CarryChain of Thought Iteration with Scheduled AgentsAutonomous Agent Limitations and Future BridgeTimestamps:00:00 Explaining SACC and AI benefits03:43 Introducing the Start Here series06:26 Rise of AI in enterprises11:55 AI agents learning industry trends15:08 Agent capabilities in AI systems16:47 Explaining complex trends simply20:13 Streamlining tasks with AI agents24:18 Understanding AI and context windows27:43 Understanding prompt engineering basics30:51 Debugging and reviewing schedules33:08 Building automated workflows this quarterSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

AI workflows can feel like magic when everything works. Five different steps might save you hours, but then one simple task refuses to work properly. In this episode, I talk about the frustrating side of AI automation and why building powerful workflows still requires patience, troubleshooting, and human judgment. CONQUER SHYNESS

Welcome back to Untangled. It's written by me, ​Charley Johnson​, and valued by ​members​ like you.This week I'm sharing my conversation with ​Nick Pyati​, a former senior strategy leader at Microsoft and the founder of ​Belari AI​. Nick spent nine years doing strategy for a company whose ground shifted every few months, and then all at once when ChatGPT landed. We disagreed about how much of the work AI will eventually do but on what strategy is and why most companies are getting it wrong, we landed in the same place. I hope you enjoy it — I certainly did!Untangled HQGet on ​the waitlist​ for the second cohort of Stewarding AI: How to Build Responsible Principles, Workflows, and Practices. Here's what one participant had to say about the first cohort:Deep DiveWhat is an ‘AI strategy'?Nick and I talk about a lot of things:* What Nick learned about setting strategy at Microsoft in the months after ChatGPT, when planning horizons compressed from a year to a few months.* The three approaches to AI Nick sees right now, and why the companies that have done nothing about AI may be best positioned.* Facilitation as a strategic practice, and what the human conversations do that most analytical approaches to strategy can't.* What AI is doing to knowledge work, and how companies are commodifying what once set them apart.But the question we kept circling back to was this: when a company's context changes, how does it rebuild the link between that context and the way it works? Every team works inside a context — the people it serves, the competitors it faces, the technology available to it, and all of the interpersonal dynamics and ways of doing things that amount to culture. And every team has a set of habits, beliefs, and capabilities that fit that context.But then the context shifts. A new competitor arrives, customers start wanting something else, technology changes, etc. The habits, beliefs, and capabilities that made the team successful stop making sense. Yet they keep doing the same thing! Why? Because, as Nick argues, it served them well for years. Re-establishing the link means first recognizing that the old way of doing things is no longer serving you. High performing teams across companies, non-profits, and government will paradoxically have the hardest time because they have so many positive examples validating their current approach.And here we are. AI changed the context for everyone everywhere all at once. Your staff are working differently. The people you serve, and the board you answer to, expect something different from you. Somewhere a competitor you haven't heard of is rebuilding the work from scratch. A context that felt durable now feels more like quicksand. As Nick notes, every company in every industry now has the problem Microsoft had in the months after ChatGPT, when planning horizons shrank from a year to a few months and the historical trend line stopped being a guide to, well, anything. Strategy, then, is whatever it takes to re-establish the link between how a team works and the context it now sits in.But strategy is also a big bet. Yes, Microsoft is data-rich and analytical, but Nick says almost none of that data decided the big questions. When your context is regularly changing, forecasting or trend analysis isn't much use. Strategy stops being an analytical question because the future can't be known. Instead, strategy becomes more about imagination, conviction, and sense-making; about what the team can believe in, and how the team adapts together without fragmenting. I've written recently about ​imagination​ and ​sense-making​, so what makes for a good big bet?Nick thinks of it as a Venn diagram. The bet has to be plausible — supported by what the market is doing, with a real story for why this team has a comparative advantage. The team has to be able to get conviction around it. They have to believe in it. And the bet has to be big enough to be worth the risk, because of the fifteen good ideas on the table, maybe three will ever pay off at a scale that justifies the investment of time and resources.Companies and organizations aren't making big bets mapped to the future they want to bring about. They're focused on the same question every company has asked of every IT rollout before this one: where can we plug this in? What can we automate? And when you ask these questions of a technology that can reshape how the whole business works, you get a scattering of small bets with no idea underneath them. I wrote about the mechanism behind this in ​The Copycat Economy​. When a technology is poorly understood, organizations copy each other rather than think for themselves — DiMaggio and Powell called it mimetic isomorphism. Every company is doing what its peers are doing, which is why their ‘AI strategies' all look roughly the same.When your ‘AI strategy' maps the technology to existing work, another differentiation problem pops up. The models are the same for everyone. Unless a company is using them in some thoughtful, tailored way, whatever it produces with them is essentially what everyone else can produce with them. That model is what a company turns itself into when it automates the work its people were doing. The idiosyncratic humans on staff, with their peculiarities, big unconventional ideas, and their weird accumulated knowledge of how things get done here, were the entire source of anything novel the company had to offer. As I argued in an essay on ​why data-driven organizations are the least prepared for AI​, this knowledge is tacit and relational — it lives in bodies, in trusted relationships, in a team's accumulated sense of how decisions get made versus how they're supposed to get made. The knowledge isn't in the text, so it isn't in the model.Every time a CEO or Executive Director highlights the ‘efficiencies' generated by cutting their workforce, Nick said you should interpret that as: you lacked the imagination to know what to do with those people now that you have the capability. I agree! It means that they started from the question “what is our AI strategy” and simply bolted the technology on to what they already do, as the context changed beneath their feet. The better question is this: what future are we trying to create, what do the people we already have make possible, and where — if anywhere — does AI help? Answer that and you have a bet.More soon,CharleyWork With Me​Here are 3 ways I can help:* ​​​​​​​​​Advising:​​​​​​​​ I can help you navigate uncertainty, make sense of AI, and steward change in your system.* ​​​​​​​​​Organizational Training:​​​​​​​​ Everything you and your team need to cut through the tech-hype and implement strategies that catalyze true systems change. (For either Stewarding AI or Systems Change for Tech & Society Leaders)* ​​​​​​​​​1:1 Leadership Coaching:​​​​​​​​ I can help you facilitate change — in yourself, your organization, and the system you work within. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit untangled.substack.com

Norwin Lacson is Founder at NOLA SMS Pro. NOLA SMS Pro helps Philippine businesses and GoHighLevel agencies reach customers through automated SMS without relying on expensive international SMS providers. It lets you send SMS directly from GoHighLevel workflows and the Conversations inbox, so you can automatically trigger appointment reminders, follow-ups, order and pickup notifications, customer updates, and promotional messages based on CRM events. Messages are routed through local Philippine SMS infrastructure, helping reduce SMS costs to as low as ₱1 per 160-character segment compared with significantly higher international rates. Businesses can also use an approved branded Sender ID so customers see the business name instead of an unfamiliar phone number. With no Twilio account, custom API development, or separate SMS platform required, NOLA SMS Pro gives agencies, SaaS builders, clinics, service businesses, and local companies a simpler way to automate SMS communication with Philippine mobile customers.In this episode:00:00 Introduction00:54 NOLA SMS Pro 03:51 Problem being solved10:19 Product/service 24:35 Stories behind the startup33:38 Vision40:02 Motivation41:47 Milestone42:57 Challenges44:38 Advice46:18 Contact & informationNOLA SMS PROWebsite: https://nolasmspro.comWebsite: https://nolacrm.ioFacebook: https://facebook.com/nolacrm2025THIS EPISODE IS CO-PRODUCED BY:Symph: ⁠⁠https://symph.co⁠⁠OneCFO: ⁠⁠https://onecfoph.co⁠⁠Yspaces: ⁠⁠https://knowyourspaceph.com⁠⁠ (5% discount on virtual office, meeting rooms, and event space! Code: YSPACESSUP)Vition Consulting and Workshops: ⁠⁠https://ksfinancialsph.com⁠⁠Twala: ⁠⁠https://twala.io⁠⁠GigGenius: ⁠⁠https://gig-genius.io⁠⁠SkoolTek by Edfolio: ⁠⁠https://skooltek.co⁠⁠Red Circle Global: ⁠⁠https://redcircleglobal.com⁠⁠CHECK OUT OUR PARTNERS:Enactus Philippines: ⁠⁠https://enactus.ph⁠⁠SoftPhil AI: ⁠⁠https://softphil.com⁠⁠Multibook Philippines: ⁠⁠https://multibook.com.ph⁠⁠Ask Lex PH Academy: ⁠⁠https://asklexph.com⁠⁠ (5% discount on e-learning courses! Code: ALPHAXSUP)Pahatid PH: ⁠⁠https://pahatid.ph⁠⁠Digital Workforce Group: ⁠⁠https://digitalworkforce.com⁠⁠Nascent Batteries: ⁠⁠https://nascentbatteries.com⁠⁠Level Up Talent Solutions: ⁠⁠https://lvluptalentsolutions.com⁠⁠Agile Data Solutions (Hustle PH): ⁠⁠https://agiledatasolutions.tech⁠⁠CloudCFO: ⁠⁠https://cloudcfo.ph⁠⁠ (Free financial assessment, process onboarding, and 6-month QuickBooks subscription! Mention: Start Up Podcast PH)ArkoTech: ⁠⁠https://arkotechspacesolutions.com⁠⁠DVCode Technologies Inc: ⁠⁠https://dvcode.tech⁠⁠Argum AI: ⁠⁠http://argum.ai⁠⁠PIXEL by Eplayment: ⁠⁠https://pixel.eplayment.co/auth/sign-up?r=PIXELXSUP1⁠⁠ (Sign up using Code: PIXELXSUP1)School of Profits: ⁠⁠https://schoolofprofits.academy⁠⁠Hier Business Solutions: ⁠⁠https://hierpayroll.com⁠⁠START UP PODCAST PHYouTube: ⁠⁠https://youtube.com/startuppodcastph⁠⁠Spotify: ⁠⁠https://open.spotify.com/show/6BObuPvMfoZzdlJeb1XXVa⁠⁠Apple Podcasts: ⁠⁠https://podcasts.apple.com/us/podcast/start-up-podcast/id1576462394⁠⁠Facebook: ⁠⁠https://facebook.com/startuppodcastph⁠⁠PIXEL: ⁠⁠https://pixel.eplayment.co/dl/startuppodcastph⁠⁠Website: ⁠⁠https://startupnetwork.ph⁠⁠This episode is edited by the team at: ⁠⁠https://tasharivera.com⁠

Are your social feeds filling up with automated slop and made-up stories? In this episode of Digital Marketing From The Coalface, Dave and Julie return from their summer break to tackle the fine line between smart AI productivity and cringey, low-quality automation. If you're an engineering company leader looking for genuine online visibility without the fluff, this episode shows you how to put AI to work to provide high-value data analytics while keeping human strategy firmly in the driver's seat.   What we cover in this episode: The cringey AI lead magnet test: Julie shares what happened when she tested a tool that promised 30 "tailored" LinkedIn posts, only to receive completely fake case studies and bizarre claims. Talking to your data in plain English: Dave and Julie talk about how connecting tools like Windsor.ai to Google Search Console, Google Ads, and GA4 lets you query your marketing data in natural language, bypassing complex PowerBI filters and SQL queries. AI watermarks & editorial control: AI watermarking isn't something to fear if you take ownership of your content. You need to make sure to apply human oversight, and refine every word you're sharing. Strategy vs. "random acts of marketing": tech businesses need a structured marketing framework so that their teams aren't just creating ad-hoc AI content for the sake of it. Plus, Julie and Dave swap summer highlights and office drama, featuring Edinburgh Fringe comedy, metal detecting adventures, a new coffee machine, and some spilled milk that no one cried over. Enjoyed the episode? Browse more at redevolution.com/digital-marketing-from-the-coalface

What happens when an AI system moves beyond recommending the next sales action and begins running a connected revenue workflow? In this episode of Tech Talks Daily, I speak with Abhijit Mitra, CEO of Outreach, about the operational work required to turn agentic AI into measurable revenue outcomes. Abhijit argues that adding another AI tool can create extra complexity when customer data remains fragmented and applications cannot share context. The starting point is the business process: what problem is being solved, which data supports it, what agents may do, and where human judgment remains necessary. We discuss the difference between a recommendation and an autonomous action. Revenue teams may begin with supervised spot checks while an agent researches accounts, identifies prospects, drafts messages, and runs targeted campaigns. Once the data and results earn confidence, parts of that process can operate continuously. Multi-step work adds another requirement because the output of one agent must become useful input for the next. Research, outreach, coaching, forecasting, and expansion cannot deliver their full value as isolated tasks. Context runs through the entire conversation. Abhijit describes the customer history, product usage, prior interactions, industry signals, buyer priorities, and organizational memory that can turn a generic model response into a commercially useful action. He says access to a frontier model alone does not create a revenue platform because each business still needs its own context layer and controls. We also discuss Outreach's MCP Server and Client, which allow agents to receive information from surrounding systems and return their work to platforms such as Salesforce Agentforce, OpenAI, Anthropic, and Microsoft. That interoperability creates a governance question. Abhijit's advice is to give an agent the same roles, permissions, and data access as the person or team it supports. If the platform cannot control access at that level, he advises companies to wait. The conversation then turns to the changing software model. Abhijit describes a move from assigning SaaS licenses to employees toward deploying agents with particular skills and a defined capacity. That makes workflow design and measurement increasingly important. He recommends establishing a baseline before rollout and tracking revenue against cost through indicators such as win rate, deal size, quota attainment, pipeline movement, forecast accuracy, and seller productivity. Can revenue teams use agents to remove administrative work while protecting customer trust and keeping relationship building human? Listen to the episode and share your thoughts with me.

Wie verändert Künstliche Intelligenz die Unternehmensberatung wirklich? Und was passiert, wenn KI nicht nur einzelne Aufgaben beschleunigt, sondern Wissen, Prozesse und Beratungsleistungen grundsätzlich neu organisiert? In dieser Folge spricht Andreas Wiener mit Laurenz von valantic darüber, wie Beratungshäuser KI heute selbst einsetzen und welche Erfahrungen sich daraus für Unternehmen ableiten lassen. Im Mittelpunkt steht die Frage, wie aus ersten Anwendungen echter Unternehmenswert entsteht. Laurenz beschreibt dafür drei Entwicklungsstufen: KI im Arbeitsalltag etablieren, bestehende Workflows konsequent mit KI weiterentwickeln und schließlich KI direkt in Produkte und Dienstleistungen integrieren. Ein konkretes Beispiel ist die Partnerschaft von valantic mit Anthropic. Gleichzeitig entsteht eine eigene AI Skill Factory, mit der wiederkehrendes Beratungswissen in nutzbare KI Skills überführt wird. Erfahrungen aus Projektvorschlägen, Workshops oder Projektmanagement lassen sich damit skalieren und innerhalb der Organisation verfügbar machen. Die Folge beleuchtet außerdem die Möglichkeiten von Claude und Claude Code, den aktuellen Stand von Vibe Coding und die Grenzen heutiger Systeme. Denn auch bei leistungsfähiger KI bleibt der Human in the Loop relevant. Klar wird: Die entscheidende Frage lautet längst nicht mehr, ob Unternehmen KI einsetzen. Entscheidend ist, wie konsequent sie KI in ihre Wertschöpfung integrieren und daraus messbaren Nutzen schaffen.

As The Trade Desk confronts negative growth guidance, executive turnover, and a 15% workforce reduction, media analysts Brian Wieser and Luke Stillman dissect the structural missteps behind the company's valuation drop.They reveal how an insistence on open-web transparency manifestos lost ground to buyer demands for price, convenience, and direct supply path performance.Key Highlights

AI coding agents can help engineering teams ship more code. But the bigger change may be what engineers spend their time doing.Viren Baraiya, Co-Founder and CTO of Orkes, joins The Tech Trek to discuss how AI is changing workflow orchestration, engineering productivity, project delivery, and hiring. As agents take on more implementation work, engineers are spending more time on design, architecture, review, and verification.Viren shares how his team measures the return on AI through product velocity, stability, and the ability to build things that previously required more time or outside resources. He also explains how Orkes manages model costs by using stronger models for difficult reasoning and smaller models for implementation.Key Takeaways• Coding agents increase output, but they also increase the need for verification.• Engineers are shifting from pure implementation toward design, review, and orchestration.• Repeated AI tasks can become reusable workflows that reduce ongoing token usage.• Hiring should test how engineers actually work with agents, not just manual coding.Highlights01:21 Why agents are workflows and where orchestration fits into AI systems05:19 How AI changed feature velocity, testing, and customer engineering at Orkes07:44 Measuring AI ROI through velocity, stability, and new product capabilities09:19 Why engineers increasingly look more like tech leads12:56 Turning repeated AI requests into reusable workflows to reduce token usage19:34 Why Orkes changed engineering interviews to include agentic codingOne Line That Stuck“That has become a more important skill than actually writing the code now.”Follow The Tech Trek for more conversations with the people building and leading technology companies.

We sit down with Yair Nativ to separate AI hype from measurable business impact, especially inside traditional companies where the biggest wins hide in plain sight. We dig into executive fear, frontline resistance, and the practical discipline it takes to turn agentic workflows into real P&L results without sacrificing original thinking.• Why confident AI output can trick smart leaders into accepting errors• The overlooked AI opportunity in non-tech companies and legacy workflows• What “boring problems” look like in finance ops and back office automation• How to tie AI adoption to KPIs and avoid performative AI theater• When value-based pricing makes sense and where it breaks down• How to turn worker anxiety into collaboration through empathy and upskilling• Lessons on resilience and delegation from building during a war*Leave a review with the one workflow you want AI to fix next.*AI does not fail in organizations because it is “not smart enough.” It fails because we deploy it like a magic trick, then act surprised when confident-sounding answers turn into expensive mistakes. We bring on Yair Nativ, co-founder and CEO of an AI adoption and strategy firm, to get brutally practical about what actually works when you want AI transformation that shows up on the P&L.We talk through why executives can be both skeptical and oddly trusting at the same time, how hallucinations slip past smart people, and what it takes to reward critical thinking instead of blind acceptance. From there we zoom in on the real market most people ignore: traditional industries and non-tech companies where workflows are still painfully manual. That “unglamorous middle” is where agentic workflows can collapse months of effort into days, but only if you anchor every build to clear KPIs, measurable cycle-time gains, and quality standards.We also get into the human side that kills most AI programs early: fear on the front line. Yair shares stories from factory floors and operations teams, plus the messaging that turns “Are you here to fire me?” into “How does this make my day better?” The conversation goes beyond tactics, too, touching on resilience and delegation while building a startup under extreme real-world pressure, and the origin of SafeLane, a road safety initiative born from personal loss.If you want a grounded AI strategy, practical change management, and a clear way to measure value without AI theater, hit play. Subscribe, share this with a leader who's stuck in hype. Yair Nativ: https://www.linkedin.com/in/yairnativ/Yair Nativ is the Co-Founder and CEO of Mateos, an AI adoption and strategy company.  A serial entrepreneur based in Israel, his previous ventures include Voiceable, a Nielsen-backed communication analytics startup and Safe Lane, a nationwide road safety initiative that mobilized over 100,000 volunteers with government backing. He is also the co-host of the podcast Futureproof: Automation, AI, and the New Human Condition.  He earned his Bachelor of Laws and Master's in Political Science and Government from the University of Haifa.  He's also served as a Combat Medic in the Israel Defense Forces, where he received the Brigadier Award for Excellence. Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

#387 | Six B2B marketers share tactical plays for using AI to make content that doesn't sound like AI. This Exit Five Live session breaks down a set of specialized agents that lifted blog traffic 700% in six months, a 23-step agent that researches and writes AEO content straight into WordPress, and the winning play: turning original survey data into an ownable narrative. Also on the agenda: a structured review process that replaces vibes-only QA, a Claude skill trained on stakeholder feedback so drafts land pre-aligned, and five rules for using AI to learn faster without outsourcing your thinking. One thing the full group agreed on: the human stays in the loop.Timestamps(00:00) - - Intro and the Exit Five Live Format (03:47) - - Meet the Lineup (07:38) - - Build a Digital Team of Specialized AI Agents (14:33) - - Before the Prompt and After the Prompt (21:42) - - A 23-Step Agent That Writes AEO Content for LLMs (30:11) - - Turn Original Research Into a Content Differentiator (33:20) - - Treat Your Edits as Training Data (35:55) - - Faster to Content and Faster to Internal Buy-In (43:19) - - Rules for Learning With AI (49:16) - - The Winning Play Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - the AI platform for marketers. Build your own AI agents or pull from a directory of 50+ pre-built ones for marketing use cases. Their new Virtual Teammates can join meetings, complete tasks, support campaigns, and keep your website optimized. Learn more at optimizely.com/exitfive.Webflow - A website platform built for the agentic web, letting modern marketing teams build fully custom sites that perform in AI search with no developer needed. Learn more at webflow.com/for/exitfive.Zoom Webinars & Events – The virtual event platform built to help B2B marketers run webinars that actually drive pipeline, with branded registration pages, live engagement features, and built-in tools to repurpose sessions into clips and content. Learn more at zoom.com/exitfive.Compound Growth Marketing - A full-funnel demand gen agency helping high-growth cybersecurity and enterprise software companies show up earlier in the buying journey, combining AEO, modern paid advertising, and a dedicated go-to-market engineering team. Podcast listeners get two free media planning sessions to find out what channels are driving the best ROI. Learn more at compoundgrowthmarketing.com/exitfive. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

SAP supports warehouse operations for many of the world's leading manufacturers, distributors, and logistics companies. Many of these organizations also rely on Zebra mobile devices to help their frontline teams receive, move, pick, and manage inventory. Read more here.

In this episode of Future Finance, Paul Barnhurst and Glenn Hopper discuss AI fatigue and why finance professionals should focus less on chasing new models and more on using AI effectively. They share practical ways to improve AI results through better instructions, reference files, context, and data foundations.In this episode, you will discover:Why AI fatigue is becoming a real challenge.Why prompting alone is no longer enough.How context and reference files improve AI results.Why clean data and clear KPIs matter.How finance teams can start using AI more effectively.Paul and Glenn emphasize that finance teams do not need to build complicated systems immediately. Starting with clear data definitions, documented sources, and simple context files can already make AI much more useful.Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyDisclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review.Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:00] - Introduction[01:07] - AI Fatigue[04:09] - Using AI Effectively[05:44] - The Changing Role of Prompting[07:40] - AI for Financial Modelling[11:37] - AI and Finance Data[14:47] - Building a Data Foundation[18:10] - Practical AI Tips[19:08] - Closing Thoughts

In the News FBI Dismantled Chinese-Linked Network Hacking U.S. Government Agencies Meta Settles with US States over Social Media Harms Beyond Hubble - NASA's Nancy Grace Roman Space Telescope Apple Maps is getting Ads, and There's No Way to turn them Off Guess Who Didn't Make TIME's Top 100 AI List? Bill Gates vs. Jensen Huang: Two Very Different Views of AI   ITPro Series with Benjamin Rockwell Distractions, even smaller ones, can Disrupt our Workflows, Impacting Enterprise From the Tech Corner Cyberpunk 2077 Meets the Commodore 64 Despite Decades of Uncertainty, the Commodore Name Continues to Survive. Old Compact Cameras with Single-Digit Megapixel are Booming in Japan What Problems Can a CMOS Reset Fix? Technology Chatter with Benjamin Rockwell and Marty Winston Navamo Lawn Mower Experience by the Picky Neighbor  

Amy Rose (CTO of the Overture Maps Foundation) joins the podcast to explore the structural differences between open-source software and open data. Amy breaks down how Overture—founded by AWS, Meta, Microsoft, and TomTom—builds interoperable global map layers, resolves complex entity definitions across disparate datasets, and why modern agentic AI workflows require record-level metadata rather than dataset-level summaries.

There is now a tool that will literally go find journalist requests, podcast opportunities, and press placements for your brand — and send them straight to your inbox automatically.Work with us → www.visibilityonpurpose.com

Ryan Barrows and John Porges built LevPro out of firsthand experience with the inefficiencies that largely still shape leveraged credit workflows. Ryan brought a background in technology, trading, and systems-building across Morgan Stanley and Benefit Street Partners, while John spent 12 years as a loan, high yield and distressed trader at Kingsland Capital, Doubleline Capital and Blackstone and brings deep market relationships and customer insights to LevPro's go-to market strategy.In this episode, Ryan and John share the story behind founding LevPro, from taking the plunge in March 2020 and building through the early days of COVID to landing their first customers, hiring a lean remote team, and creating software designed around the way credit professionals actually work. The conversation also covers the recent agreement for Octus to acquire LevPro, why the partnership made sense, and how data, workflow automation, and AI could reshape the next phase of leveraged credit.

Dr. Viren Patel, CEO & Owner of Smile Obsession, Vince Dilley, Founder & CEO of Platinum Dental Services and Dr. Oussama Founas, Founder of Dentologie join Bruce Tuck, Director of DSO Sales & Strategic Marketing of Glidewell. The four discuss: Future of restorative dentistry & digital workflows The importance of training, education & implementation Key metrics & data points To learn more visit https://glidewelldental.com/ or connect with Bruce Tuck at Bruce.Tuck@glidewelldental.com.  You can also learn more about Smile Obsession visit https://smileobsession.com/ , Platinum Dental Services - https://platinumdentalservices.com/  Dentologie -  https://dentologie.com/ Subscribe to our channel for more episodes and stay updated on the latest DSO news, insights, and events! If you like our podcast, please give us a ⭐⭐⭐⭐⭐ review on iTunes https://apple.co/2Nejsfa and a Thumbs Up on YouTube.  

In this episode we're discussing a question we got from viewer/listener Matt S. who in part wrote:'I'd love to hear your thoughts on working with GFX and VFX through color. I run a motion design studio in Denver and we are often delivering GFX to DI houses. We've gotten surprised a few times seeing how our material gets laid into a show, and sometimes heavily graded'Thanks Matt for writing in!  It's a deep topic, but in this episode we do our best to explore it.  Some of the specifics we discuss include:Understanding GFX vs VFX and why they're sometimes used interchangeablyThe importance of communication in a GFX/VFX pipelineWorking with GFX in a color pipelineContext & keeping GFX updated with the gradeWorking with VFX in a color pipelineThe benefit of working with mattes from VFXColor management and how it impacts GFX/VFX workflowsHDR and its impact on the pipeline If you enjoy the topics and discussion of The Offset Podcast you can join in the conversation with our new Discord communityCheck out offsetpodcast.com for our entire library of episodes. You can also follow us on Instagram & Facebook - just search for The Offset Podcast.Be sure to like and subscribe to the podcast wherever you found it and be sure to check out our growing library of episodes.  If you like the podcast it'd mean the world to us if you'd consider supporting the show by buying us a cup of virtual coffee -https://buymeacoffee.com/theoffsetpodcastSee you again in about two weeks for a new episode

Innovation comes in many areas, and compliance professionals need to not only be ready for it but also embrace it. Join Tom Fox, the Voice of Compliance, as he visits with top innovative minds, thinkers, and creators in the award-winning Innovation in Compliance podcast. In this episode, host Tom visits with Paul F. Welter, co-founder at Bayshore AI. Welter is a German-qualified lawyer whose path into legal innovation began with an early background in software engineering, giving him a rare combination of legal and technical expertise. That experience led him to study how legal reasoning could be automated at Stanford Law School's Codex, and later to co-found Bayshore AI to build LLM-based tools for in-house legal and compliance teams. He believes AI can help scale legal and compliance support because demand far exceeds human capacity, but he expects adoption to happen gradually through copilots, policy chatbots, and targeted workflow automation rather than a sudden transformation. At the same time, he stresses that regulated companies need systems that are transparent, auditable, and able to show how decisions are made, with human oversight remaining essential for higher-risk matters and regulator-facing accountability. Key highlights: AI Legal Reasoning for Embedded Compliance Workflows Auditable Legal Decision Logic from Conventional Programs Customer-Specific Policy Logic with Deterministic Compliance Logic translated into code for reviewable decisions Full-time employee days of manual compliance checks AI copilots, compliance workflows, and decision trails Resources: Paul Welter on LinkedIn Bayshore Website Bayshore on LinkedIn Innovation in Compliance was recently honored as the Number 4 podcast in Risk Management by 1,000,000 Podcasts

"If you're considered a feature, you're dead."Klas Berghede has spent nearly twenty years at Boldt, a 100% employee owned contractor that has been building since 1889.We asked him whether there is still room for point solutions in construction tech.He said the door is closing.Adoption of AI across the industry is high. Measured improvement is close to zero. McKinsey's latest numbers back him up.Klas reckons roughly half the cost of a complex American build is no longer labour or material. It's the coordination around it.The near term winners will own a whole workflow end to end, not one clever step inside it.Half of ConTech will hate this. The other half already knew.In this episode of Bricks & Bytes, Klas argues that construction has an addiction to solving complex problems with complex solutions, that the industry starts every project from scratch and expects to improve anyway, and that the labour shortage is not the biggest problem we have.Episode out on Youtube and Spotify.#bricksandbytes #bricksbytes #aec #constructiontech #aiOur Sponsors:BreadCrumb- 50,000+ projects globally. All running safer, faster, with Breadcrumb. - breadcrumb.coAphex is the multiplayer planning platform where construction teams plan together, stay aligned, and deliver projects faster – check out aphex.coArchdesk - “The #1 Construction Management Software for Growing Companies - Manage your projects from Tender to Handover” check archdesk.comChapters00:00 Intro01:10 Quick-fire round02:10 Construction's addiction to complex solutions03:33 Who is Bolt? 135 years, employee-owned, self-performing05:32 Inside the data center boom08:55 Data centers and rebuilding the power grid11:12 Inelastic buyers and the scramble for equipment14:45 What industrialized construction really means20:07 The 80/20 rule and the industrialized continuum24:04 AI: better, or just busier?29:13 Workflows over data, and the "definition of insanity"34:16 Why doesn't the whole industry go industrialized?38:24 Is there still room for point solutions?44:12 The flood of copycat AI tools48:43 The real problem isn't the labor shortage54:40 Why projects keep getting more complex56:58 Advice to leaders: never do it twice from scratch

The sudden emergence of AI models for all sorts of healthcare procedures, along with advanced hardware such as NVIDIA's GPU processors, creates questions for healthcare practices that want to improve outcomes and costs with these technologies. In a recent video interview, Dan Schneider, Enterprise Platforms Product Specialist at NVIDIA, and Sandra Colner, GM Global Healthcare & Life Sciences at Dell Technologies dove into these important topics and shared some key insights as healthcare leaders navigate AI in their organization.Learn more about NVIDIA: https://www.nvidia.com/en-us/Learn more about Dell Technologies: https://dell.com/HealthcareHealthcare IT Community: https://www.healthcareittoday.com/

Discover practical ways to make AI more useful, accessible, and productive in your everyday workflow. In this session, we explore the fundamentals of working with AI, including how to write more effective prompts, use AI with JAWS and other screen readers, and incorporate tools like ChatGPT into common tasks. We also discuss working with documents, AI accessibility features, privacy and confidentiality considerations, and resources for continuing to build your AI skills. Whether you're just getting started with AI or looking for ways to improve your existing workflow, this session offers practical tips and techniques to help you get more from these increasingly powerful tools.

Guy Bartlett is ex military, but now helps others when they are buying businesses. He is the author of Business Magic. In his 30 years he's closed more than 200 deals, sitting on both sides of the table. He will buy, operate and grow UK businesses and help founders do the same. Guy Bartlett discusses M&A strategy for founder-led businesses.Summary of the PodcastKey Takeaways"Done-for-you" M&A Service: Fidelis Advisory acts as a fractional M&A director for founders, providing a lower-cost, lower-risk alternative to full-time hires."Triangle of Success" Philosophy: Prioritizes the business's health alongside buyer and seller needs to ensure a stable, long-term outcome for all stakeholders.Seller's Emotional Exit: The process starts by defining the seller's post-exit lifestyle needs, then structuring the deal to meet that financial goal.AI as a Force Multiplier: AI's value is in improving efficiency and augmenting human capital, not in acquiring standalone AI companies.Guy Bartlett's Background & ServicesBackground: 41 years in the Army Reserves.Services:Fidelis Advisory: "Done-for-you" fractional M&A director service.Business Buyers Club: "Done-with-you" coaching and network.Experience: 150+ transactions, from £200k to €15M.Client Profile: Ambitious founders (late 30s–mid 50s) of businesses with £5M–£20M turnover.Fidelis Advisory network (5k+ database, 18k+ LinkedIn followers)The "Triangle of Success" M&A PhilosophyCore Principle: A successful acquisition balances the needs of three entities: the buyer, the seller, and the business itself.Seller-Centric Process:Define Lifestyle Needs: Determine the financial sum required for the seller's desired post-exit life.Value the Business: Conduct an independent valuation.Bridge the Gap: If the valuation is lower than the required sum, structure the deal to bridge the difference (e.g., earn-outs).Buyer-Centric Criteria:Passion: Genuine interest in business, not just profit.Financial Literacy: Basic understanding of P&L, cash flow, and the balance sheet.People Skills: Ability to work with all stakeholders.Balance Sheet Health Check:Inverted Pyramid: A healthy balance sheet has high current assets and low liabilities.Shareholder Funds: A gently rising curve indicates stability.Asset Scrutiny: Verify the true value of assets like stock.Acquisition Strategy & AIStrategic Fit: The primary driver for an acquisition is cultural alignment, not just financial metrics.Example: A failed M&E group acquisition was due to cultural mismatch and geographic distance.AI in M&A:Current Role: A force multiplier for efficiency (e.g., pricing, contracts).Future Role: Unlikely to involve acquiring standalone AI companies, as the market is too volatile and lacks a dominant player.SaaS Vulnerability: Traditional SaaS models are at risk from AI-powered, bespoke solutions.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled in 2014 to provide data from The UK High Net Worth Database to marketers targeting affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, creating lead generation AI Agents & Workflows and introducing the MeclabsAI Platform. Graham is an inCruises Independent Partner, and is building up interest from people around the world in the World's Largest Travel Membership - inCruises. You can sign up and access 21,000+ cruises, hotels and tours by clicking HEREKevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

„Sovereign minds use sovereign AI“: Während viele Unternehmen noch darüber nachdenken, wie sie LLMs per API in ihre Workflows einbinden, geht KI-Experte Dr. Tristan Behrens längst den nächsten Schritt. Der promovierte Informatiker berät Unternehmen dabei, agentische Systeme aufzubauen, eigene Wissenstöpfe zu erschließen und Künstliche Intelligenz souverän im eigenen Rechenzentrum oder auf eigener Hardware zu betreiben. In dieser Ausgabe des *Insight Talks* spricht Host Christoph Burseg mit Tristan darüber, warum die Abhängigkeit von US-amerikanischen Cloud-Modellen vermeidbar ist, wie leistungsfähig aktuelle Open-Weight-Modelle inzwischen sind, und was es braucht, um KI-Agenten im Unternehmensalltag produktiv einzusetzen.

Riley Hill and Tim Chaten discuss the new M6 chip and how the M1 iPad Pro holds up in 2026. Early episodes are available by supporting the podcast at www.patreon.com/ipadpros. Early episodes are also now available in Apple Podcasts!Show notes are available at www.iPadPros.net. Feedback is welcomed at iPadProsPodcast@gmail.com.Links:- https://slatepad.org/2026/08/23/is-m1-ipad-pro-still-good-2026/ Hosted on Acast. See acast.com/privacy for more information.

We're incredibly honored to be joined by Dave Wright, Chief Innovation Officer at ServiceNow, and Brian Solis, ServiceNow's Head of Global Innovation, digital anthropologist, and nine-time author. Together, Dave and Brian run ServiceNow Futures and have just published Infinite: How Visionary Leaders Transform Today's Businesses into AI-Forward Companies (Wiley, 2026).This is an awesome episode, where we have the luxury of talking to quite literal titans of industry about applied AI. We start with the concept of the 'workflow,' the graph-structure of business logic — designed, as Dave puts it, for the limitations of people and the scarcity of resources, and now confronting an abundance of intelligence. From there we work our way to the tantalizing concept at the core of their book, an 'infinite company,' a company that is technically enabled to such an extent that it can continously, progressively, reinvent itself.Marek pushes the concept to its limits: can an infinite company generate synthetic demand? Can it get infinitely big? And when does it tip into a true dark enterprise, agents making executive decisions about what to build and why? For Brian and Dave, the answer leaves a path open for humans as leaders, workers, and collaborators, who function to destabilize the linear, incremental self-improvement of agentic systems and reroute business into new and unexpected places.At the core of our conversation: Brian Solis & Dave Wright, Infinite: How Visionary Leaders Transform Today's Businesses into AI-Forward Companies(Wiley, 2026). See: infinitecompany.ai

Asana CMO Prachi Gore explains why AI's biggest marketing opportunity lies beyond content creation, as agents reshape workflows, B2B buying and growth. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Rajesh Ganesan the next phase of enterprise AI, moving from AI assistance toward autonomous workflows, and what leaders need to consider as they prepare for an AI-driven future. Rajesh is CEO of ManageEngine, the enterprise IT management division of Zoho Corporation. Listen for three action items you can use today. Host, Kevin Craine Do you want to be a guest? https://DigitalTransformationPodast.net/guest Do you want to be a sponsor? https://DigitalTransformationPodcast.net/advertise

Dave speaks to Michael Shackelford from Genrupt, to discuss the newest AI video model from ByteDance. They dive into Seedance 2.5, how they compare against other AI models, and how small businesses can create high-quality videos efficiently. They dive into the best practices for e-commerce businesses, the several ways users can leverage Seedance 2.5 and post-production tips. Thinking about taking some risk off the table? Or are you looking at taking an extended break from e-commerce in general? Know what your e-commerce business is worth with Quiet Light Brokerage. Timestamps 00:00 - Introduction to Seed Dance 2.5 and its significance 02:07 - The breakthrough capabilities of ByteDance's Seed Dance 2.5 04:10 - Differences between Seed Dance 2.0 and 2.5 05:18 - Creating seamless 30-second videos with AI prompts 07:35 - Platforms and tools for accessing Seed Dance 2.5 09:24 - Addressing privacy concerns with Chinese AI models 11:38 - Cost and efficiency of AI video generation 13:41 - Prompting strategies for high-quality AI videos 16:08 - Using video references to improve AI output 19:13 - Structuring prompts for effective AI video creation 22:02 - Leveraging YouTube and TikTok videos as references 24:23 - Workflows for AI video production and post-production tips 33:57 - Services offered by GenRup for AI video creation Resources Quiet Light Brokerage The Exitpreneur GenRupt GenRupt Agency Jungle Scout Higgsfield - one of the platforms mentioned that offers Seed Dance CapCut - another platform mentioned that offers Seed Dance Dreamina - ByteDance's own platform mentioned for using Seed Dance Google Omni - Google's video editing model Suno - AI-generated music platform As always, if you have any questions or anything that you need help with, leave a comment down below if you're interested. Don't forget to leave us a review on iTunes if you enjoy our content. Thanks for listening! Until next time, happy selling!

Brands pay five figures for AI workflows that turn repetitive creative work into reusable systems teams can run at scale.Drew Brucker and Rory Flynn speedrun their way into a useful business model while trying to explain node-based AI without melting anyone's brain. The opportunity itself is practical. Find expensive, repetitive creative bottlenecks, turn them into reusable workflows, and make the complicated machinery simple enough that an entire team can actually use it.The boys break down Figma Weave, node-based AI workflows, system prompts, batch processing, arrays, Claude, ChatGPT, Gemini, Flux, Nano Banana, Gen Effect, and MCP. SharkNinja and BarkBox examples show how AI workflows support localization, product visualization, asset re-versioning, creative production, team handoff, and scalable content generation.The bigger idea here is that the value comes from encoding the process, creative logic, and standards into a system that can be reused across hundreds of assets without starting from zero.#AIWorkflows #CreativeAutomation #GenerativeAI #FigmaWeave #aiforbusiness ---⏱️ Fast Hour00:00 Cold opener07:22 Why a full Figma Weave episode09:53 How node workflows went mainstream in a year14:10 Why use a node-based AI tool at all?19:02 Inside the Figma Weave AI toolbox20:53 How to sell AI workflows to businesses23:24 Why brands pay five figures for AI workflows24:33 How SharkNinja localizes across 35 markets30:07 Why recurring tasks belong in workflows31:34 Live build: your first AI workflow39:09 What the Gen Effect node can do44:00 How to turn an image into a 3D asset48:46 Scale one fashion image into reusable assets55:18 How to build a batch-processing engine1:03:24 Prompt vs system prompt: what's the difference?1:05:38 Turn a node graph into a reusable tool1:12:17 Engineering an automated listicle video1:14:51 One-shot video vs modular AI production1:24:29 How BarkBox fixed one production bottleneck1:35:20 Where AI workflows create business ROI1:38:20 Why workflows survive every new AI model1:39:29 Paste your workflow into Claude to debug it1:42:57 Use AI workflows as callable functions1:44:28 Publish your workflows into Claude MCP1:46:09 Resources and wrap-up---FIGMA WEAVE 15% OFF: Use code FASTHOURS15 at checkout- 15% off the first purchase of a Figma Weave Starter, Pro, or Team subscription- One-time use per person- Applies to the first month (for monthly plans) OR first year (for annual plans)OUR FREE FIGMA WEAVE WORKFLOWS:Drew's Apparel Photoshoot: https://app.weavy.ai/flow/JV8vBtbkOl3vNeiJjAYwxNDrew's Product Social Images: https://app.weavy.ai/flow/la8iMD20eGX4eGF91qunVuRory's Listicle: https://app.weavy.ai/flow/SpLj0jsU8hThMmHWtfmT37Rory's SD2.5 Prompting: https://app.weavy.ai/flow/MdYt6UJi6ch0MkgxTaCe6rRory's GenEffects Collage: https://app.weavy.ai/flow/sX4dJgsrp9DIrOz5f9ojX1Rory's Batch Generator: https://app.weavy.ai/flow/f9OljOQLkPbJ9Q04iN8UouRory's El Camino Concept: https://app.weavy.ai/flow/BPfVXywHhoymEi3CFxOO3Q

Lead Conversion expert Francis Rodino claims 15+ years working in sales and marketing, but as we'll find out, you can probably double that number. First in corporate, then building and scaling his own businesses. He's worked with 300+ clients across HVAC, engineering, construction, recruitment, and professional services.Francis is the bestselling author of Leads Machine - a practical guide to building consistent, predictable sales for service businesses. He's not a consultant who disappears after the strategy session. Francis is in the system, in the data, and on the calls.Summary of the PodcastKey TakeawaysCore Problem: Most businesses have a lead conversion problem, not a lead generation problem. They neglect the 95% of leads who aren't ready to buy immediately, leaving significant revenue on the table.Solution: Lead Hero uses a white-labeled HighLevel CRM, enhanced with AI agents, to automate lead nurture and follow-up. This "Freedom Tech" liberates teams from manual tasks and increases conversion rates.ROI: By improving conversion from 5% to 15%, a £10k ad spend can generate an extra £50k in revenue (£25k → £75k), adding a potential £1M annually without increasing the ad budget.Tech: Lead Hero's site uses Lovable, a fast React-based web app, for its agility in creating personalized pages for prospects, sacrificing some traditional SEO for speed.The Problem: Lead Conversion, Not GenerationLead Hero's premise: Most businesses have a lead conversion problem, not a lead problem.95% Gap: Businesses focus on the 3% of leads ready to buy now and neglect the other 95% who are not.9-Step "Leads Machine" System:Outlined in Rodino's book, Leads Machine.Focuses on deep market intelligence and customer journey mapping before investing in ads.Automation and AI accelerate a sound strategy; they cannot fix a broken one.The Solution: AI-Enhanced Lead NurtureLead Hero's service is a white-labeled HighLevel CRM pre-built with custom workflows and AI agents.Client Profile: High-volume lead businesses (trades, medical, SaaS) that live and die by leads.Implementation Process:Audit: Analyse the client's sales process and software gaps.Build: Install the custom CRM with automated scripts and cadences.Train: Onboard the client's team.Maintain: Provide ongoing tech support.Case Study (Simply Eco):Before: Manual, paper-based lead process.After: Automated CRM system.Result: Grew revenue from £15M to £25M in ~4 years.The Technology: Lovable & AI AgentsLead Hero's site uses Lovable, a React-based web app chosen for its speed and agility.Rationale: Prioritises fast creation of personalised pages for prospects over traditional SEO.AI Agent Use Cases:Database Reactivation: Re-engaging dormant leads with AI agents to answer questions and book calls.Webinar Follow-up: An AI agent on WhatsApp asks non-buyers why they didn't purchase, collecting valuable feedback to improve offers. The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled in 2014 to provide data from The UK High Net Worth Database to marketers targeting affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, creating lead generation AI Agents & Workflows and introducing the MeclabsAI Platform. Graham is an inCruises Independent Partner, and is building up interest from people around the world in the World's Largest Travel Membership - inCruises. You can sign up and access 21,000+ cruises, hotels and tours by clicking HEREKevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

Artificial intelligence is changing the way professional services firms operate, but its greatest potential extends well beyond helping individuals work faster. When implemented thoughtfully, AI workflow automation can fundamentally improve how work moves through an organization—connecting people, processes, and technology to create more efficient, consistent, and scalable operations.In this episode of the AI & Exit Planning Series, Pat Ennis and Corby Megorden are joined by Scott Samborn, Founder of Aspen Management Group, to explore how AI workflow automation is transforming professional services businesses. Rather than focusing on individual AI tools, the discussion centers on building systems that improve client service, reduce administrative burden, increase profitability, and create businesses that are less dependent on the owner and more attractive to future buyers.Whether you lead an accounting firm, law practice, engineering firm, consulting company, marketing agency, or financial advisory business, this episode provides practical guidance for identifying automation opportunities that strengthen both operational performance and long-term business value.In This Episode, We Discuss:What AI workflow automation really means—and why it's more than simply using chatbotsThe first workflows professional services firms should consider automatingCommon implementation mistakes that limit successWhy documented processes matter before introducing automationHow workflow automation improves consistency and client experienceThe relationship between automation, scalability, and profitabilityHow automation reduces owner dependency and strengthens transferabilityWhy buyers value businesses built on repeatable, documented systemsPractical first steps for implementing AI workflow automation over the next 90 daysGuest: Scott SambornFounder, Aspen Management GroupScott Samborn is the Founder of Aspen Management Group, where he helps boutique firms rethink how work gets done through technology and AI. His career began as an IT consultant serving Fortune 1000 companies before spending more than 20 years building and operating a managed services provider serving small and mid-sized businesses. After successfully selling that business, Scott worked with organizations evaluating complex technology solutions before founding Aspen Management Group to bring enterprise-grade AI strategy and workflow automation to SMBs in a practical, business-focused way.Connect with Scott:  LinkedIn Profile  | aspenmg.net─────────────────────────────────────────Ready to assess your own exit readiness? Take the free ExitReadiness® DIY™ Assessment at exitreadiness.com.  Learn more about working with Pat and Corby at ennislp.com─────────────────────────────────────────Building your exit plan at your own pace?Explore ExitReadiness® DIY™ at exitreadiness.com. The platform combines proven frameworks, practical tools, assessments, and educational resources designed to help business owners make better decisions, build more valuable and transferable businesses, and create more options for the future. And when judgment and experience matter most, credentialed exit planning professionals are available to help.Conversations that move you closer to a regret-proof exit. Subscribe To The Channel By Clicking HERE!Learn more about working with Pat and Walter at ennislp.com Connect with Pat: linkedin.com/in/pat-ennis-25b4a111/Connect with Walter: linkedin.com/in/walter-deyhle-cpa-abv-cff-maff-cexp-cepa-57386614/#PatEnnis #WalterDeyhle #ExitReadinessDISCLAIMER: The information in this presentation is provided as education only. Neither the presenter nor ENNIS Legacy Partners is engaged to render legal, accounting, or other professional services. Consult a qualified professional for advice specific to your situation. ENNIS Legacy Partners assumes no legal liability for any loss related to information contained in this presentation.

Join Roger Knecht and guest Peter McCarroll on the latest episode of Building the Premier Accounting Firm as they discuss the urgent transformation of accounting practices through AI implementation. Learn how to shift from historical reporting to real-time advisory services and why adopting these technologies within the next two busy seasons is critical for the survival and growth of modern firms. In This Episode: 00:00:00 The Urgency of AI Adoption 00:03:49 Moving From Rearview to Dashboard 00:08:44 The Role of a Strategic Navigator 00:13:39 Phases of AI Implementation 00:18:21 Practical AI Applications 00:23:09 Advisory and Scaling Knowledge 00:28:48 Advanced Integration and Workflows 00:33:08 Empowering Staff in the AI Era 00:38:37 Final Thoughts and Future Roadmap Key Takeaways: Adopt AI tools now to prepare for the industry landscape of 2028. Transition accounting services from "rearview mirror" reporting to real-time, "dashboard" insights. Leverage AI as a strategic collaborator to identify revenue growth opportunities. Train staff members to become "accountant agent managers" who oversee AI-driven workflows. Integrate AI with existing platforms to optimize data transformation and efficiency. Featured Quotes: "AI is going to change the way we do our work, it's going to change the way we run our firm, it's going to change the way we engage with our clients." — Peter McCarroll "You can't drive very far or very fast looking in the rearview mirror." — Peter McCarroll "I don't sell tools. I sell thought." — Peter McCarroll Conclusion: Thank you for joining us for another episode of Building the Premier Accounting Firm with Roger Knecht. For more information on how you can establish your own accounting firm and take control of your time and income, call 435-344-2060 or schedule an appointment to connect with Roger's team here.   Sponsors: Universal Accounting Center Helping accounting professionals confidently and competently offer quality accounting services to get paid what they are worth.   Offers: Exclusive offer: Get $500 off the AI Practice Transformation program — our three-week cohort that helps CAS firms redesign workflows, engineer their AI context, and build a real advisory model. That brings it from $2,997 to $2,497. Mention this episode when you reach out, and we'll apply the discount. Start at theaiaccountant.ai/transformation  Special Offers for our Podcast Listeners, CLICK HERE to take advantage of them today!   Remember this: Accounting Success IS Universal. Be sure to listen to our next episode and subscribe.   Also, let us know what you think of the podcast and please share any suggestions you may have.  We look forward to your input: Podcast Feedback   For more information on how you can apply these principles to start and build your bookkeeping, accounting, & tax business, please visit us at www.universalaccountingschool.com or call us at 801-265-3777.  And know that if it's about accounting, it's Universal

Steven Song is the founder and CEO of Diald, an AI-powered decision intelligence platform for commercial real estate. Before founding Diald, Steven worked on both the investing and development sides of real estate, and built his career across architecture and urban planning, training at Carnegie Mellon and the University of Pennsylvania. He was a founding principal at SCAAA, a global strategy, planning, and design firm, and is a partner at Axle Companies, a family office focused on real estate investment and social impact ventures. Steven is based in Los Angeles.(02:26) Why CRE Decisions Are Still Judgment-Driven (04:41) The Signal That Killed an Atlantic City Deal (07:44) Contextual Drift: The Risk Nobody Models(10:20) Diald's approach (11:59) AI Token Costs and Asking Better Questions (14:27) Tools vs. Workflows (15:52) Diald's Underwriting (17:58) Killing Bad Deals Earlier (19:18) How AI Upgrades the Analyst Role (20:44) Where General Purpose AI Fails at Underwriting (24:23) Does AI Make CRE More Efficient or More Competitive (26:02) What Underwriting Looks Like in 5 Years (27:14) Where Human Judgment Still Matters (29:06) The Local Signals Investors Miss (31:15) Collaboration Superpower: Denise Scott Brown and Reyner Banham

Tyler Carey has worked in publishing and technology for over 20 years, with a background including work at Wolters-Kluwer and Harris Connect. His roles have included account management, sales, marketing, product development, social media management, and technology consulting. He is an experienced conference speaker, often presenting on the impact of technology on different industries, sharing strategies to adapt emerging technologies into more traditional organizations. In 2017, Tyler was promoted to Chief Revenue Officer, overseeing the company's sales, marketing, and business development efforts as well as the growing staff supporting those initiatives.On this episode of the BookSmarts Podcast, Tyler discusses the ever-growing complexities of managing publishing workflows in a fast-paced, digital world. He provides a deep dive into the recent influx of industry regulations like ADA Title II, the push to get trend-driven books to market more quickly, and the universal challenge of inbox and time management. The conversation also explores practical tools for organizing the chaos—from Gen AI assistants to analog bullet journals—and the importance of community, mentorship, and mental health resources to combat stress in the publishing industry.To learn more about Westchester Publishing Services and how they help publishers with their editorial and production workflows, visit westchesterpublishingservices.com. You can also connect with Tyler on LinkedIn or catch him in person at upcoming industry events like the IPG Autumn Conference.

Today's guest is Andrew Sparks from Sydney Australia, who discusses business exit strategies for founders for them to build a business that can run without them.Summary of the PodcastKey TakeawaysBuild a Saleable Asset: A founder-dependent business is unsaleable (e.g., Dave the plumber's story). The goal is to create a business that operates independently, which maximizes its value for a future sale.Delegate Authority, Not Just Tasks: The "Ownership Map" is a key tool for this. It defines clear responsibilities and KPIs for each role, forcing founders to delegate decision-making and free up their time for strategic work.Maximize Profitability ("Savage Margins"): Shift from low-margin, time-based pricing (e.g., $50/hr) to high-value, outcome-based pricing (e.g., $300/hr) by repositioning the company for a premium market. This funds the team needed for operational independence.Plan Your Exit Early: A 12–15 month timeline is ideal for implementing the necessary structural changes. This proactive approach avoids a forced, low-value sale and allows founders to choose their exit: a "Heyday" (lifestyle freedom) or a "Payday" (commercial sale).The Problem: Founder-Dependent BusinessesA business built around the founder's personal brand and time is unsaleable.Example (Dave the Plumber): A successful plumber built a business so tied to his name and presence that he couldn't sell it, ultimately closing the doors and selling tools for pennies.The "Second Stage Squeeze": Andrew's firm, MyExit.com, targets established businesses ($2M–$20M revenue, 10–50 staff) that have proven product-market fit but are now constrained by the founder's time and capital.The Solution: A Strategic Framework for Business ExitMyExit's framework has four pillars:1. Strategic Core: The founder's role shifts from tactical work to high-level strategy.2. SEAL Team: Build a capable team by delegating authority, not just tasks.3. Savage Margins: Maximize profitability to fund growth and independence.4. Slick Ops: Systematize operations for efficiency and consistency.Tool: The Ownership MapThis tool replaces a traditional org chart to delegate authority effectively.Function: Maps key responsibilities and KPIs to each role, ensuring clear ownership and accountability.Benefit: Prevents the founder from becoming a bottleneck and allows the business to operate without constant founder approval.Strategy: Savage MarginsA high-profit commercial model is essential for funding growth and team expansion.Action: Reposition the company to charge premium prices (e.g., $300/hr vs. $50/hr) by focusing on a higher-value market segment.Rationale: Most businesses are not unique. Success comes from mastering the commercial model, not just the product.The Outcome: Two Types of Business ExitHeyday (Lifestyle Exit): The business runs independently, giving the founder freedom to step away for extended periods (e.g., Andrew's 3-week Europe trip).Payday (Commercial Exit): The business is sold for maximum value.Key Principle: Achieving a "Heyday" is a prerequisite for a "Payday," as a founder-independent business is inherently more valuable.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled in 2014 to provide data from The UK High Net Worth Database to marketers targeting affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, creating lead generation AI Agents & Workflows and introducing the MeclabsAI Platform. Graham also provides an Answer Engine Optimisation solution to get your website in shape to be found by LLMs.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

Riley Hill recently purchased the Galaxy Z Fold8 and we discuss his thoughts on it and how it may affect his iPad mini usage. Early episodes are available by supporting the podcast at www.patreon.com/ipadpros. Early episodes are also now available in Apple Podcasts!Show notes are available at www.iPadPros.net. Feedback is welcomed at iPadProsPodcast@gmail.com.Links:- https://www.samsung.com/us/smartphones/galaxy-z-fold8/ Hosted on Acast. See acast.com/privacy for more information.

Recorded on location at Black Hat USA 2026 in Las Vegas at the end of day two, Karthik Kannan, Founder and CEO at Anvilogic, walks through a seven year build that reached its original shape this year. The plan from the start was a full security operations platform covering data, the detection engineering process, triage and investigation, and case management. In the shorthand of the category, SIEM and SOAR combined. It arrived in phases. Detection engineering came first, implemented on top of Splunk for most customers, then the data platform expanded into data lakes including Snowflake, Databricks, and Microsoft Azure. Triage and investigation followed over the last two years. In the last year Anvilogic rolled out agents that carry out the work of specific personas, and this year the company launched Blueprints, an orchestrator agent that brings the discrete agents together to run a whole workflow with humans in the loop. What separates a security graph from a frontier model? It knows the environment. Karthik Kannan describes the enterprise security graph as Anvilogic's own model running inside the network, learning the micro environment, with frontier LLMs called on to fill gaps in the macro environment. His argument is that platforms operating as LLM wrappers miss the last mile, because AI on its own reaches 60, 70, or 80 percent of the way if you are lucky. How does a team keep control when agents run the workflow? Through gates, permissions, and a record of what happened. Workflows can be described in plain English, with human gates inserted as often as the team wants. Access controls sit at the persona, organization, and object levels, and activity is audited and logged, which matters to the GRC teams Anvilogic works with. Screens dedicated to what the company calls a maturity score show which feeds are coming in, what kinds of detections exist, and what coverage looks like against the MITRE ATT&CK framework, in a form available to executives and CISOs. Karthik Kannan also points to version 8.0, introduced the week before the event, which includes an Anvilogic MCP Server for connecting to third party tools. Customers are already building their own Blueprint workflows during proofs of concept, including a large life sciences customer Anvilogic expects to feature in a public case study. Karthik Kannan is careful about the claim being made here. This is not a proclamation of an autonomous SOC. It is automation that makes life in a SOC easier and more efficient, adopted at a crawl, walk, run pace, with every step visible along the way. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST Karthik Kannan, Founder and CEO at Anvilogic On LinkedIn: https://www.linkedin.com/in/karthikkannan001/ RESOURCES Black Hat USA 2026 event coverage from ITSPmagazine: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas Learn more about Anvilogic: https://www.anvilogic.com Anvilogic 8.0, from onboarding to investigation: https://www.anvilogic.com/learn/anvilogic-8-0-automate-the-soc Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS karthik kannan, anvilogic, sean martin, brand briefing, brand story, brand marketing, marketing podcast, black hat usa 2026, agentic secops, ai soc platform, enterprise security graph, detection engineering, triage and investigation, blueprints orchestrator agent, mcp server, mitre att&ck coverage, human in the loop automation, siem and soar, security operations, grc audit logs Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Tyler Lynch, Outbound CTO at IBM, joins the show to discuss shifting from “tokenmaxxing” to “valuemaxxing” by optimizing AI agent workflows for efficiency. They explore using Obsidian for persistent agent memory to combat context bloat, the critical importance of secure sandboxing practices, and the strategic use of parallel verification to ensure your agents are performing... Read more »

Tyler Lynch, Outbound CTO at IBM, joins the show to discuss shifting from “tokenmaxxing” to “valuemaxxing” by optimizing AI agent workflows for efficiency. They explore using Obsidian for persistent agent memory to combat context bloat, the critical importance of secure sandboxing practices, and the strategic use of parallel verification to ensure your agents are performing... Read more »

"How do you use AI every day?"

Paid Ads Rebuild: 3 Workflows + 8 Prompts to Fix What AI Broke: https://clickhubspot.com/jgvk Ep. 442 50% of Google searches now result in zero clicks, how does that affect your 2027 ad budget? Kipp dives into how AI has completely disrupted the paid ads landscape, changing where you should spend your marketing dollars and what those ads actually cost. Learn more on which ad channels have become more expensive, where you can still find underpriced opportunities like YouTube Shorts, and why most 2027 marketing budgets are already broken if they don't account for these rapid changes. Mentions Loop: Outlearn. Outmarket. Outgrow https://www.hubspot.com/loop-marketing-book HeyGen https://app.heygen.com/ Captions https://captions.ai/ Canva https://www.canva.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@marketingatg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Lawyers may soon spend less time opening applications, and more time simply telling AI what needs to happen next. In episode 630 of the Lawyerist Podcast, Zack Glaser talks with innovation strategist Sam Harden about the rise of agentic AI and how tools like ChatGPT Work and Claude Cowork could reshape the way legal professionals work.  Unlike a traditional chatbot, an agentic system can operate within a workspace, analyze groups of files, create and update documents, develop plans, and connect information from different sources. That could allow lawyers to access emails, calendars, case materials, research, and practice management information through a single working interface.  Zack and Sam discuss what this means for law firms filled with open Word documents, browser tabs, PDFs, research databases, and disconnected software. They also challenge the idea that AI should perform the most sophisticated legal reasoning while lawyers clean up the formatting. Instead, AI should take on the repetitive administrative work so lawyers can operate at the top of their licenses.  If you want to understand where legal AI is heading beyond prompting and summarization, this episode offers a grounded look at the tools, opportunities, risks, and experiments shaping the next phase of legal work.  Listen to our previous episodes on Agentic AI, Law Firm Workflows & the Future of Legal Work.  #620: What Claude Means for Law Firms, Part 2: Using AI to Practice at the Top of Your License, with Sam Harden Apple | Spotify | LTN  #619: What Claude Means for Law Firms: AI Skills, Connectors, and Workflow Strategy, with Sam Harden Apple | Spotify | LTN  #601: Beyond Chatbots: Using Agentic AI in Law Firm Intake, with Matt Spiegel Apple | Spotify | LTN  #581: Agentic AI for Lawyers: Moving Beyond Enhanced Search, with Drew Bloom Apple | Spotify | LTN  #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN  Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!   If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.   Access more resources from Lawyerist at lawyerist.com.   Chapters / Timestamps  00:00 – Introduction  00:18 – What the World Cup Teaches About Professionalism  05:19 – Meet Sam Harden  06:25 – The “Claudification” of ChatGPT  08:15 – From Chatbot to Agentic Workspace  10:35 – Why ChatGPT Is Following Claude  13:00 – The Shift from Asking to Delegating  14:00 – What Agentic AI Actually Means for Lawyers  17:40 – Making AI the Interface for Legal Work  19:10 – The Future Surface of Work  23:30 – When Your Phone Becomes Your Workspace  25:35 – How Agentic AI Could Transform Law Firms  26:45 – Letting AI Handle the Legal Busywork  29:20 – Operating at the Top of Your License  31:15 – AI Should Format the Work, Not Make the Judgment  34:30 – How Lawyers Can Start Experimenting Safely  37:25 – Closing Thoughts 

Adi Klevit is the leader and visionary of Business Success Consulting Group. Her 30 years of knowledge and experience as a trained Industrial Engineer, management consultant, and business executive give her a unique understanding of the challenges businesses face. Adi utilizes her practical know-how and wisdom to successfully help organizations and companies of any size dramatically improve their efficiency and performance. By leveraging her ability to understand business processes as well as people and drawing on her high-caliber skills in vital areas of personnel management, finance, and operations, Adi can help virtually any business owner achieve their goals and bring order to their lives. Adi is also the host of the Systems Simplified podcast and author of a new eBook, Stop Carrying Your Business in Your Head, the foundation for a full-length book on process documentation, knowledge transfer, and operational excellence.

Sun, 02 Aug 2026 15:00:00 GMT http://relay.fm/mpu/860 http://relay.fm/mpu/860 The Friday Incident with Merlin Mann 860 David Sparks and Stephen Robles Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." clean 5412 Merlin Mann returns to Mac Power Users 16 years after being our very first guest to break down the AI system he's built — Codex, "triangulation," 31 cross-indexed data sources, and the infamous "Friday Incident." This episode of Mac Power Users is sponsored by: Ecamm: Powerful live streaming platform for Mac. Backblaze: Unlimited, easy data protection. Try it for free today and get 20% off with code mpu20 1Password: Never forget a password again. Guest Starring: Merlin Mann Links and Show Notes: Sign up for the MPU email newsletter and join the MPU forums. You can watch the podcast over on YouTube. Credits The Mac Power Users Stephen Robles David Sparks The Editor Jim Metzendorf The Fixer Kerry Provanzano More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Mac Power Users #23: Workflows with Merlin Mann Merlin's Triangulation Example Merlin's AI Language Usage Document Infuse - Video Player for Apple TV, iPhone, iPad, Mac & Vision Relax with Coax Typora — simple yet powerful Markdown reader wisdom/wisdom.md at master · merlinmann/wisdom This Conversation Will Change How You Think About Trauma — The Ezra Klein Show The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma The Other Side of Sadness: What the New Science of Bereavement Tells Us About Life After Loss When Breath Becomes Air