For most enterprises, doubling dev team capacity produces no gain in business outcomes. Mik Kersten's Output to Outcome explains why—and what leaders need to do about it.

Sneak peek of the intro available now:
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As agents scale output delivery, human intentionality, ownership, and accountability become the essential control structure. Mik Kersten lays out how in Output to Outcome, releasing July 14.

Excerpt available now:
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The Phoenix Project is one of our most popular audiobooks, and it's available at a great discount this month on Audible for Audible Premium Plus members in the US. Get your copy while you can!

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Building on Project to Product, Mik Kersten's Output to Outcome argues AI is a disruption to the constraints that defined management for decades—not just a faster way to do the same work.

Read the intro excerpt:
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Outcome Management replaces centralized governance with cascading, outcome-driven autonomy. It's the operating model Mik Kersten argues every org needs in the Age of AI.

Read the excerpt:
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Have you already preordered Melissa M. Reeve's upcoming book, Hyperadaptive? Unlock exclusive bonus content from the author on her website: itrev.io/3Mho16S

Or, preorder now from your favorite bookseller!

Amazon: itrev.io/47IPvZK

Barnes & Noble: buff.ly/DAIlbaG

Bookshop: buff.ly/9wtK245

What happens when you can produce knowledge work at unlimited scale but your org was designed for scarcity? Mik Kersten's Output to Outcome tackles exactly that.

Introduction excerpt is live now:
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Orgs clinging to output-focused management are already falling behind. Mik Kersten's Output to Outcome makes the case that most AI investments are bottlenecked by structure, not capability.

Read the excerpt:
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Output to Outcome introduces 10 mental models for Outcome Management—each simple enough for a whiteboard, and powerful enough to rewire an org. Releasing July 14. Read the first excerpt now:

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Either we find a scalable way to manage AI, or it will manage us. Mik Kersten's Output to Outcome introduces Outcome Management as the operating model for this moment. Read the introduction excerpt now:

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Gene Kim has studied high-performing tech organizations for 25 years. Mike Collins has 40 years in comics. Their final volume of the Phoenix Project Graphic Novel brings the Three Ways to life. Preorder ahead of the April 14, 2026 release.

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Hopefully, the excerpt satisfied, but expect more about this book as we get closer to publication. Mik Kersten has a lot to say on the subject!

The Theory of Constraints says every system has one bottleneck. In the digital age, it was knowledge output. With the rise of AI, now the constraint is organizational structure. That's the argument in Mik Kersten's Output to Outcome.

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Anthropic built a product with Claude Code AI in 10 days. A developer built a full browser over the holidays with AI. These aren't exceptions—they're the new baseline. Most orgs aren't structured to absorb this capacity.

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Intentionality remains uniquely human, even as AI automates cognition. Defining and managing outcomes is how orgs keep AI aligned to actual goals. Scale misalignment a hundredfold with agents and you just get faster drift.

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The marginal cost of knowledge output is trending toward zero. But most orgs were designed to manage scarcity. That's the tension Mik Kersten unpacks in Output to Outcome—and why AI alone won't close the gap.

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AI can now build in minutes what used to take entire teams a year. Yet for a typical enterprise, doubling dev capacity produces no increase in outcomes. The bottleneck has moved from output to org structure.

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At Stage 5, continuous learning is embedded in every process. Innovation happens at the edges without central coordination. The line between AI strategy and business strategy has disappeared entirely.

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There are five stages to a Hyperadaptive organization that can evolve at the speed of AI. Being honest about where your org sits is key.

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Believing you're at Stage 3 when you're actually at Stage 1 means making Stage 3 investments without the foundations to support them. That's not ambition—it's how chaos gets scaled.

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At Stage 2, Communities of Practice share AI learnings across organizational boundaries. Metrics track operational improvements AND capability development. That's how isolated wins connect to strategy.

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Moderna hit 100% GenAI adoption in 6 months—not by mandating it, but by investing in Stage 1 and 2 foundations first: champions, learning communities, local office hours.

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Stage 1 isn't just about governance—it's about identifying an AI North Star. Without a clear destination, even well-run pilots become disconnected experiments that never add up to anything.

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Where Is Your Organization in the AI Transformation Journey? : itrev.io/4utyAoI

Why Your AI Pilots Aren’t Scaling: itrev.io/4sE8kGj

Which Stage Is Your Organization Actually In?: itrev.io/3P3vp73

Why ‘Move Fast and Break Things’ Is Wrong: Lessons from AWS, eBay, and Google on Speed with Safety: buff.ly/AyePKg1

Building Your Leadership Pipeline: A Practical Framework for Identifying Future Technology Leaders: buff.ly/GeWYB9X

We had some great articles on our blog this month! In case you missed any, here are all the March articles.

Links in the thread below!

Stage 5: business strategy and AI strategy are indistinguishable. The org senses market shifts and responds in near-real time. The trap? Leaving humans out of the loop entirely.

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Stage 4 is where AI becomes the connective tissue of an org—data and insights flowing across value streams, not just up and down the hierarchy. Legacy budgeting and hiring structures fight this hard.

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Stage 3 isn't just automation—it's humans managing AI agents instead of doing tasks directly. That shift is significant. Ignoring the human element at this stage is the trap.

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The Phoenix Project Graphic Novel Vol. 3 is for leaders who know the original but want the visuals. Mike Collins' art makes DevOps principles — flow, feedback, continuous learning — click in a new way. Preorder ahead of the April 14 release.

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