AI to Go Podcast I Real Talk on Enterprise AI

AI To Go

Let's be honest: Enterprise AI has a trust problem. Vendors overpromise. Buyers overthink. Pilots die in silence. And everyone's too polite - or too scared - to say what actually went wrong. AI to Go is the Enterprise AI podcast that breaks the silence. Every episode is an honest, no-BS conversation between the people building AI and the people buying it inside large organizations - about what actually works, what quietly fails, and why most AI pilots never make it to production. I'm Johannes Deubener, an AI Implementation Lead at Deutsche Telekom based out of San Francisco. As a former marketplace founder who spent years helping sellers find buyers, I've been on both sides of the table. Now I'm the person inside the enterprise evaluating which AI vendors to pilot and put into production. That dual perspective shapes every conversation on this show. Each week, I sit down with AI startup founders, enterprise leaders, investors, and AI ecosystem experts for real talk about: → Why most enterprise AI pilots fail - and the few things that make the difference between production and purgatory → How enterprise buying decisions actually get made (spoiler: it's not how vendors think) → How to navigate complex stakeholder setups across the enterprise → The fears and frustrations that both sides need to say out loud → How AI vendors can design pitches, demos, and pilots that actually survive contact with a real enterprise AI founders and enterprise leaders are both short on time and drowning in hype. AI to Go exists because your scarcest resources - time, attention, and focus - deserve better than the FOMO-fueled AI podcasts telling you the sky is falling or rising every week. The mission is simple: create mutual understanding between enterprise AI buyers and sellers so we can stop wasting each other's time and start building AI deployments that actually work for both sides. New episodes every Tuesday. Subscribe so you don't miss one. 🔗 LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

  1. This Founder Said No to 90% of the Market - and Won. How to Build Your Enterprise Niche

    May 5

    This Founder Said No to 90% of the Market - and Won. How to Build Your Enterprise Niche

    Most AI founders try to sell to everyone. Chris Carter said no to more than 90% of the software enterprise market - and built two successful enterprise companies from that single decision. Chris Carter (Chairman & CEO of Approyo, Founder of Mugatu AI) has started 11 companies, sold several, and managed a bankruptcy. In this episode, he breaks down how AI founders should pick their enterprise niche and ecosystem, how to be successful in Enterprise, and which Scotch to pick for your first closed Enterprise AI deal. Timestamps 01:02 What Chris saw in SAP HANA in 2013 that everyone else missed 02:58 Why he said no to 90% of the market 04:59 Which platforms should you embed into before it's obvious? 05:34 Mugatu AI: Why he's building an AI security layer for enterprises 11:56 How to validate startup ideas using AI (Gemini as your thought partner) 15:23 Several exits, one bankruptcy: The failure that shaped everything 18:26 His 20% Rule: Never let one client exceed 20% of your revenue 20:10 Train first, find the champion, sell top-down: The enterprise implementation framework 22:25 How to find and cultivate an internal champion before your pilot starts 23:43 The biggest gap AI founders have when building for enterprise 25:42 How to instantly build credibility in an enterprise room (Chris's top 4 list) 29:19 Behind closed doors: The most broken SAP implementation Chris ever inherited 33:25 Why AI pilots die in procurement 36:10 Managing the tension between your internal champion and the C-suite 36:56 The middle management trap 44:07 SAP in 5 years 45:48 Scotch pick for your first enterprise deal closed -------------------------------------------------------------- Connect with Johannes: https://www.linkedin.com/in/johannesdeubener/ Read Johannes' Newsletter "Inside Enterprise AI": https://johannesdeubener.substack.com/ Follow Chris on LinkedIn: https://www.linkedin.com/in/christopher-carter-885159/ Check out Approyo: https://approyo.com/ Check Out Mugatu AI: https://mugatuai.com/ -------------------------------------------------------------- More about AI To Go: I Real Talk on Enterprise AI ✨ Watch more Episodes on YouTube: https://www.youtube.com/channel/UCiL3_cC9nmXALQiaqlYs2Kw ✨ Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-to-go-podcast/id1866997458 ✨ Listen on Spotify: https://open.spotify.com/episode/5X9XgIv1qtCYtExziNMyXK ✨ Receive all Podcast Updates on LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

    47 min
  2. AI Demo Trap: Client Loved It, Then Ghosted - Why This Keeps Happening

    Apr 7

    AI Demo Trap: Client Loved It, Then Ghosted - Why This Keeps Happening

    Most AI demos never reach production. Here's why - and what to do differently. Tim Daines, Dubai-based founder of Synaptix Solutions and a 22-year expert of AI, data, and enterprise transformation, breaks down the hard truths founders and enterprise leaders refuse to hear: the real reason AI ROI keeps vanishing, why your data strategy is the actual bottleneck, and shares the strategic lessons that only come from being inside the room when enterprise AI succeeds and when it spectacularly fails. Whether you're an AI founder trying to crack enterprise sales, an executive navigating AI transformation, or a VC watching portfolio companies struggle to demonstrate ROI - this episode will fundamentally change how you think about AI in production. ⏱️ Timestamps0:00 Intro 1:15 The Sacrifice Behind Building a Business in Dubai 3:08 Enterprise Maturity in the Gulf 5:30 Dubai as an AI Hub 7:57 Why Relationships Beat a Killer Deck in Dubai 8:55 Why VC AI Portfolio Companies Are Struggling to Demonstrate ROI 9:08 The "Peloton Problem": Why AI Demos Don't Survive Contact With Reality 12:15 What Winning Founders Do Differently 17:42 Minimum Viable Data - The Non-Negotiable Before Any AI Build 19:57 Stop Conflating POC, Pilot & MVP 22:36 The Institutional Knowledge Crisis 26:23 Fast Strategy - Why Traditional Strategy Cycles Are Dangerous in an AI World 32:16 The CFO as the "Adult" in the Room 37:54 Security, Sovereignty & Why IT Must Be in Every AI Room 38:16 Why The Intelligence Integration Layer Is Next 41:22 Where to Find Tim -------------------------------------------------------------- Connect with Johannes: https://www.linkedin.com/in/johannesdeubener/ Read Johannes' Newsletter "Inside Enterprise AI": https://johannesdeubener.substack.com/ Follow Tim on LinkedIn: https://www.linkedin.com/in/tim-daines/ Read Tim's Substack: https://productagent.substack.com/ "Fast Strategy" Book: https://www.abebooks.com/9780273712442/Fast-Strategy-Strategic-Agility-Will-0273712446/plp -------------------------------------------------------------- More about AI To Go: I Real Talk on Enterprise AI ✨ Watch more Episodes on YouTube: https://www.youtube.com/channel/UCiL3_cC9nmXALQiaqlYs2Kw ✨ Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-to-go-podcast/id1866997458 ✨ Listen on Spotify: https://open.spotify.com/episode/5X9XgIv1qtCYtExziNMyXK ✨ Receive all Podcast Updates on LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

    42 min
  3. The AI Vendor Culling Is Coming - Here's How You Survive It | Russ Fradin, Larridin

    Mar 24

    The AI Vendor Culling Is Coming - Here's How You Survive It | Russ Fradin, Larridin

    In this conversation, host Johannes Deubener sits down with serial founder Russ Fradin, CEO of Larridin (backed by Andreessen Horowitz). He shares what 30 years of building enterprise companies teaches you about AI adoption, vendor survival, and long-term customer relationships. We cover the real #1 driver of enterprise churn, why 85% of leaders fear falling behind in the next 18 months, what shadow AI really signals about enterprise adoption, and why teams that build with AI dramatically outperform teams that only summarize. We go deep on what it actually takes to win in the enterprise - not just to get in the door, but to be one of the AI vendors still standing when the inevitable AI vendor consolidation hits. Chapters 00:41 - Russ Fradin intro 02:28 - The repeat founder trap 06:01 - The $5M ARR pivot 09:25 - 30 years of enterprise lessons: what AI founders need to know right now 09:30 - The #1 driver of enterprise churn 13:07 - Radical honesty as your competitive moat 15:45 - First-time founder playbook 16:02 - Why free pilots fail - and how to create the right friction from day one 19:09 - How to close the gap from pilot to production 22:53 - The 2026 Enterprise AI Report 26:28 - The coming AI vendor culling 29:30 - What the AI leaders do differently 31:54 - Why IT teams get 10x more from AI 32:11 - The global knowledge workforce retraining experiment 35:27 - Shadow AI: 45% of AI adoption happens outside procurement 38:54 - When tool sprawl becomes organizational waste 41:05 - The power user gap 44:03 - Why HR needs to own AI enablement - not just IT 48:10 - What Larridin actually does: measuring AI productivity across the enterprise 54:27 - "Software eating labor": is AI substituting or augmenting work? 54:42 - Why AI will create more jobs 59:06 - Where to find Russ 59:29 - Outro -------------------------------------------------------------- Connect with Johannes: https://www.linkedin.com/in/johannesdeubener/ Follow Russ: https://www.linkedin.com/in/rfradin/ Check out Larridin: https://larridin.com/ Read the 2026 Enterprise AI Report: https://larridin.com/state-of-enterprise-ai -------------------------------------------------------------- More about AI To Go: I Real Talk on Enterprise AI ✨ Watch more Episodes on YouTube: https://www.youtube.com/channel/UCiL3_cC9nmXALQiaqlYs2Kw ✨ Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-to-go-podcast/id1866997458 ✨ Listen on Spotify: https://open.spotify.com/episode/5X9XgIv1qtCYtExziNMyXK ✨ Receive all Updates on LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

    1 hr
  4. AI Pricing: No Seats, No Tokens – This Founder Charges for Results | Larissa Schneider, Unframe AI

    Mar 10

    AI Pricing: No Seats, No Tokens – This Founder Charges for Results | Larissa Schneider, Unframe AI

    Larissa Schneider, Co-Founder & COO of Unframe AI, is building one of Europe's boldest enterprise AI platforms - and she's doing it with outcome-based pricing. No per-seat fees. No token meters. Just measurable business outcomes. In this episode, host Johannes Deubener sits down with Larissa to unpack why seat-based pricing is killing enterprise AI adoption, how Unframe deploys production-ready AI in under a week using a modular "Lego block" platform, and what it actually takes to tie your revenue to client results. Larissa shares the real story behind outcome-based pricing - from internal debates to live customer examples - including how they helped one of the world's oldest newspapers cut proofreader onboarding from 2-3 years to nearly instant. She also drops a bold prediction: citizen development and quick DIY AI will die at the enterprise level. Whether you're an AI founder figuring out your pricing model, an enterprise leader stuck in pilot purgatory, or a CIO evaluating build vs. buy - this episode is packed with practical frameworks you can use today. ⏱️ Chapters: 00:57 - International Background & Leading Global AI Teams 02:17 - Building Company DNA in a Remote-First Culture 02:55 - From Farm Kid to AI Founder 06:49 - What Technologists Miss About AI Adoption 08:37 - The Real Root Cause of Pilot Purgatory 10:10 - Build vs. Buy 12:59 - The Honest AI Strategy Conversation with a CEO 15:33 - Unframe Explained: The Lego Box Analogy 19:29 - Customer Story: Oldest Newspaper in the World Goes AI 21:50 - IP, Blueprints & How Custom AI Solutions Work 23:35 - Pricing: Why Seats & Tokens Are Broken 25:41 - Tying Revenue to Client Results 31:14 - Pricing a Chatbot by Outcomes - A Real Example 33:22 - Preventing Adoption Failure & the Free POC Model 35:01 - How Outcome-Based Pricing Changes Product Development 36:13 - Advice for Founders on Outcome-Based Pricing 38:16 - Outcome-Based Pricing as a Competitive Moat 40:26 - Redesigning Enterprise AI Procurement from Scratch 41:44 - Larissa's Bold Prediction 42:11 - Will AI Make Organizations More Human? 43:01 - Larissa's #1 Advice for Enterprise AI Success -------------------------------------------------------------- Connect with Johannes: https://www.linkedin.com/in/johannesdeubener/ Follow Larissa: https://www.linkedin.com/in/schneiderlarissa/ Check out Unframe AI: https://www.unframe.ai/ -------------------------------------------------------------- More about AI To Go: I Real Talk on Enterprise AI ✨ Watch more Episodes on YouTube: https://www.youtube.com/channel/UCiL3_cC9nmXALQiaqlYs2Kw ✨ Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-to-go-podcast/id1866997458 ✨ Listen on Spotify: https://open.spotify.com/episode/5X9XgIv1qtCYtExziNMyXK ✨ Receive all Updates on LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

    44 min
  5. The AI Fears Enterprise CEOs Won’t Admit Publicly | Rujuta Singh, Solved Together

    Mar 3

    The AI Fears Enterprise CEOs Won’t Admit Publicly | Rujuta Singh, Solved Together

    If you’re an enterprise AI founder, you’ve seen the same pattern: pilots everywhere, ROI nowhere, governance used as a brake, and leaders asking for “hard numbers by next quarter.” In this episode, Johannes Deubener sits down with Rajuta Singh, Founder & CEO of Solved Together, to unpack why transformation fails (hint: it’s rarely the tech) and how CEOs can break the “AI anxiety loop” with structured experimentation, cross-functional squads, and outcome-first execution. They unpack real boardroom fears around AI - from stalled pilots and 7-figure “science projects” to data roadmaps, legacy systems, and middle managers secretly blocking change. If you are an AI founder selling into enterprises or an enterprise leader trying to turn AI hype into business outcomes, this conversation gives a 90-day path you can start using immediately. Chapters00:04 Welcome + guest intro: Rujuta Singh00:57 Why people dynamics decide outcomes02:06 Every company has the same collaboration problem04:14 Collaboration brain hacks08:26 Neuroscience of meetings12:29 “Transformation Reality TV”CEO Role-Play16:11 AI as #1 priority for 202618:43 Ruthless prioritization: which pilots to kill vs scale20:23 CFO vs AI team: ROI now vs “compounding later”23:16 Integrate AI into business strategy24:35 The Talent Dilemma27:04 Upskilling Challenge32:35 Silent sabotage: how to unblock middle managers37:22 The “AI strategy” all-hands41:06 Data governance vs speed43:20 Legacy systems46:49 First 90 days49:48 What CEOs missWrap55:45 Don’t try to keep up58:04 The Top Leadership Skill1:00:32 Where to find Rajuta-------------------------------------------------------------- Connect with Johannes: https://www.linkedin.com/in/johannesdeubener/ Follow Rujuta: https://www.linkedin.com/in/rujutasingh/ Check out Solved Together - AI Accelerator: https://www.solvedtogether.co.uk/ai-accelerator -------------------------------------------------------------- More about AI To Go: I Real Talk on Enterprise AI ✨ Watch more Episodes on YouTube: https://www.youtube.com/channel/UCiL3_cC9nmXALQiaqlYs2Kw ✨ Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-to-go-podcast/id1866997458 ✨ Listen on Spotify: https://open.spotify.com/episode/5X9XgIv1qtCYtExziNMyXK ✨ Receive all Updates on LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

    1h 1m
  6. DOUBLE Your Win Rate in Enterprise Deals with AI + Behavioral Science | Sanchit Garg, Zime AI

    Feb 24

    DOUBLE Your Win Rate in Enterprise Deals with AI + Behavioral Science | Sanchit Garg, Zime AI

    Why sales playbooks fail and how AI-powered behavioral nudges are doubling win rates at companies like HP, SonicWall, and Versa Networks. Sanchit Garg, CEO and Co-Founder of Zime AI, joins host Johannes Deubener to reveal why traditional sales playbooks have become shelfware - and how combining generative AI with behavioral science is transforming sales enablement. With a background in behavioral science, Sanchit now helps enterprise sales teams unlock their winning behaviors using AI that actually understands their GTM, products, and competition. This conversation will change how you think about sales coaching, AI-driven enablement, and the future of B2B selling. Chapters 00:00 - Intro Sanchit Garg 00:40 - Meditation as a founder resilience tool 01:08 - From $100M startup to behavioral science 02:30 - Nudge theory explained 04:25 - Why generic AI fails sales teams 06:22 - Sales playbooks: the graveyard of unused materials 09:21 - How Zime builds living AI playbooks in 7 days 12:43 - Behavioral nudges in the sales workflow 18:32 - Doubling win rates: Versa Networks and SonicWall results 23:27 - Top behaviors that separate winning sales reps 27:42 - The AI-native CRO: future of sales leadership 29:06 - How AI resolves sales vs. marketing tensions 33:10 - AI agents vs. human sellers in the funnel 35:23 - The collapse of CRMs and the sales tech stack -------------------------------------------------------------- Connect with Johannes: https://www.linkedin.com/in/johannesdeubener/ Follow Sanchit: https://www.linkedin.com/in/sanchitg/ Check out Zime: https://zime.ai/ -------------------------------------------------------------- More about AI To Go: I Real Talk on Enterprise AI ✨ Watch more Episodes on YouTube: https://www.youtube.com/channel/UCiL3_cC9nmXALQiaqlYs2Kw ✨ Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-to-go-podcast/id1866997458 ✨ Listen on Spotify: https://open.spotify.com/episode/5X9XgIv1qtCYtExziNMyXK ✨ Receive all Updates on LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

    40 min
  7. AI Eats Jobs: The #1 Skill You Need to Stay Relevant - with Ted Shelton, Founder Adaptability.com

    Feb 17

    AI Eats Jobs: The #1 Skill You Need to Stay Relevant - with Ted Shelton, Founder Adaptability.com

    Ted Shelton has seen the AI wave from every angle - partner at Bain, COO at Inflection AI, now founder of adaptability.com and builder of the Personal Agent aalpi.ai. In this episode, Ted and host Johannes Deubener discuss what happens when AI compute becomes a new form of capital that no longer needs human labor. Ted explains why owners of compute will capture value faster than overall economic growth, how this breaks the 250-year-old relationship between capital and labor, and why “abundance” does not automatically mean broad participation. On individual level, we explore the human skills that actually compound and how you can practice adaptability in this fast-paced world. Chapters 00:04 Introduction to Ted Shelton 00:56 Public Skepticism Towards Autonomous Vehicles 04:32 The Future of AI Interaction 08:18 Reflections on AI's Evolution 11:59 Transitioning from Pilot to Execution at Scale 14:17 Rebuilding Inflection AI: Insights and Challenges 16:39 The Importance of Data Ownership in AI 19:31 Achieving ROI from AI Initiatives 23:26 Turing trap - Balancing Automation and Augmentation 25:25 AI as a Coordination Mechanism 31:12 Building Adaptability in a Rapidly Changing World 34:19 How to Teach Adaptability as a Meta Skill 36:13 Navigating the Rapid Pace of Technological Change 39:14 The Importance of Human Skills in an AI-Driven World 40:35 Redesigning Work for the Future 43:30 The Economic Bitter Lesson and AI Inequality 47:15 Collective Action and the Need for Adaptability 50:19 Compute Capital: A New Form of Value 53:37 Winners and Losers in the AI Economy 57:32 Rethinking Wealth Distribution in an AI World 01:01:27 Optimism for Future Generations in a Changing World -------------------------------------------------------------- Don't be shy and come say hi: Connect with Johannes: https://www.linkedin.com/in/johannesdeubener/ Follow Ted: https://www.linkedin.com/in/tshelton/ Subscribe to his Newsletter: https://www.linkedin.com/newsletters/infinite-future-6980527547914534913/ Check out his privacy-first AI Agent Aalpi: https://aalpi.ai/ Check out his Adaptability learning platform: https://www.adaptability.com/ -------------------------------------------------------------- More about AI To Go: ✨ Watch more Episodes on YouTube: https://www.youtube.com/channel/UCiL3_cC9nmXALQiaqlYs2Kw ✨ Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-to-go-podcast/id1866997458 ✨ Listen on Spotify: https://open.spotify.com/episode/5X9XgIv1qtCYtExziNMyXK ✨ Receive all Updates on LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

    1h 8m
  8. The Blackbox: Your AI Product Is Quietly Failing (ft. Julien Roux, CRO at Nebuly)

    Feb 10

    The Blackbox: Your AI Product Is Quietly Failing (ft. Julien Roux, CRO at Nebuly)

    Most AI teams are flying blind - they can show you how many people used their AI, but not whether it actually worked. In this conversation, host Johannes Deubener sits down with Julien Roux, CRO and co-founder of Nebuly (the “Google Analytics for AI”) to unpack what relevant AI Analytics look like. They explore why treating AI like traditional software (“build it, ship it, forget it”) is a fundamental mistake, and why AI needs to be managed as a living product: launched, observed, and continuously improved based on how people actually use it. Julien explains how most companies still rely on shallow metrics - logins, number of prompts, session duration - and why those can be dangerously misleading. In conversational AI, more usage can mean more frustration, not more value. Chapters 00:05 Meet Julien Roux 02:23 From Mechanical Engineering to Finance 05:26 What “AI-Powered" Toothbrushes Mean 08:11 AI "Launch-and-Learn" Explained 10:50 From Investor to AI Founder: Why Julien Bet on AI Analytics 13:03 Executives’ Fantasy vs. Employee Reality in AI 16:57 Rocky Waters: Careers, Juniors, and the Future of Work 21:18 Pareto in Practice: Focus on the 10–15% of AI Use Cases That Drive 80% of Value 24:00 Why Traditional Analytics Fail for AI Assistants 29:21 “Google Analytics for AI”: What Nebuly Actually Measures 32:11 Explicit vs. Implicit Feedback in AI Conversations 36:18 100x More Actionable Feedback: The Iveco Case Study 38:50 Fixing AI Quality: Knowledge Bases, RAG, and the 80% Non-Technical Problems 41:16 Mining Business Signals from Customer-Facing AI (Churn, Upsell, Demand) 47:16 From Black Box to ROI: Turning Time Saved into Dollars 51:43 What CFOs Will Ask AI Teams in 2026 56:00 The Future of AI Analytics, Skills, and Infrastructure -------------------------------------------------------------- Don't be shy and come say hi: Connect with Johannes: https://www.linkedin.com/in/johannesdeubener/ Follow Julien: https://www.linkedin.com/in/julienroux92/ Check out Nebuly: https://www.nebuly.com/ -------------------------------------------------------------- More about AI To Go: ✨ Watch more Episodes on YouTube: https://www.youtube.com/channel/UCiL3_cC9nmXALQiaqlYs2Kw ✨ Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-to-go-podcast/id1866997458 ✨ Listen on Spotify: https://open.spotify.com/episode/5X9XgIv1qtCYtExziNMyXK ✨ Receive all Updates on LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/

    58 min

About

Let's be honest: Enterprise AI has a trust problem. Vendors overpromise. Buyers overthink. Pilots die in silence. And everyone's too polite - or too scared - to say what actually went wrong. AI to Go is the Enterprise AI podcast that breaks the silence. Every episode is an honest, no-BS conversation between the people building AI and the people buying it inside large organizations - about what actually works, what quietly fails, and why most AI pilots never make it to production. I'm Johannes Deubener, an AI Implementation Lead at Deutsche Telekom based out of San Francisco. As a former marketplace founder who spent years helping sellers find buyers, I've been on both sides of the table. Now I'm the person inside the enterprise evaluating which AI vendors to pilot and put into production. That dual perspective shapes every conversation on this show. Each week, I sit down with AI startup founders, enterprise leaders, investors, and AI ecosystem experts for real talk about: → Why most enterprise AI pilots fail - and the few things that make the difference between production and purgatory → How enterprise buying decisions actually get made (spoiler: it's not how vendors think) → How to navigate complex stakeholder setups across the enterprise → The fears and frustrations that both sides need to say out loud → How AI vendors can design pitches, demos, and pilots that actually survive contact with a real enterprise AI founders and enterprise leaders are both short on time and drowning in hype. AI to Go exists because your scarcest resources - time, attention, and focus - deserve better than the FOMO-fueled AI podcasts telling you the sky is falling or rising every week. The mission is simple: create mutual understanding between enterprise AI buyers and sellers so we can stop wasting each other's time and start building AI deployments that actually work for both sides. New episodes every Tuesday. Subscribe so you don't miss one. 🔗 LinkedIn: https://www.linkedin.com/company/ai-to-go-podcast/