The Chief AI Officer Show

The Chief AI Officer Show bridges the gap between enterprise buyers and AI innovators. Through candid conversations with leading Chief AI Officers and startup founders, we unpack the real stories behind AI deployment and sales. Get practical insights from those pioneering AI adoption and building tomorrow’s breakthrough solutions.

The Chief AI Officer Show is a technology podcast hosted by Front Lines, with 43 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Front Lines hosts The Chief AI Officer Show, a technology show with 43 episodes published.

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  The Chief AI Officer Show

  Why your AI agents will inherit your company's worst instincts

  May 28, 202647 minS0

  <p>Eric Ries built the Lean Startup methodology, helped advise on Anthropic's long-term benefit trust structure, and is now making an argument most enterprise leaders aren't ready to hear: deploying AI agents inside a company with bad governance isn't just a compliance risk, it's an existential one. His new book, Incorruptible, makes the case that the same slow-moving forces that corrupt companies over decades will be dramatically accelerated by AI, and that the standard governance playbook most executives have been handed is the actual source of the problem.</p><p>In this conversation, Eric and Ben cover the legal and...

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  The Chief AI Officer Show

  Pricing AI at a loss: How Intercom launched outcome-based pricing before the market existed

  May 12, 202652 minS0

  <p>Intercom launched outcome-based pricing before the market had a framework for it, before inference costs made it profitable, and before customers knew how to budget for it. Fergal Reid, Chief AI Officer, was inside that decision and he shares exactly how they modeled their way through it, what two bets he personally owned, and why they went to $1 per resolution knowing it was a loss.</p><p>That pricing story is inseparable from their model strategy. Fergal walks through the production data that led them to conclude that Opus 4.5 didn't outperform Sonnet 4.0 on their RAG customer service task, what...

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  The Chief AI Officer Show

  Pricing AI at a loss: How Intercom launched outcome-based pricing before the market existed

  May 7, 202652 minS0

  <p>Intercom launched outcome-based pricing before the market had a framework for it, before inference costs made it profitable, and before customers knew how to budget for it. Fergal Reid, Chief AI Officer, was inside that decision and he shares exactly how they modeled their way through it, what two bets he personally owned, and why they went to $1 per resolution knowing it was a loss.</p><p>That pricing story is inseparable from their model strategy. Fergal walks through the production data that led them to conclude that Opus 4.5 didn't outperform Sonnet 4.0 on their RAG customer service task, what...

  ListenShow Notes
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  The Chief AI Officer Show

  Why AI won't save media without fixing the infrastructure underneath

  Apr 9, 202648 minS0

  <p>What happens when a journalist turned Amazon product manager becomes the Chief AI Officer of one of the world's largest international broadcasters? You get someone who sees the AI threat to media not just as a distribution problem, but as a full production chain crisis that requires a fundamentally different organizational architecture.</p><p>Marie Kilg, Chief AI Officer at Deutsche Welle, makes the case that legacy media's survival depends on something most AI transformation conversations ignore: data interoperability across systems that were never designed to talk to each other. With 32 languages, siloed editorial teams, and decades of layered...

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  The Chief AI Officer Show

  AI Won't Break Your Security Program. Your Gaps Will.

  Mar 26, 202645 minS0

  <p>Most security leaders treat AI as a new threat category requiring new defenses. Rohit Parchuri, SVP and Chief Information Security Officer at Yext, pushes back hard on that. His argument: if your foundational controls are solid, AI does not require you to rebuild anything. What it does is amplify whatever you already have, gaps included, which makes the real question not "what new controls do we need?" but "how well are we actually executing on what we already built?"</p><p>Rohit walks host Ben Gibert through how Yext is operationalizing this at scale: threat-modeling AI as just another...

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