The AI Native Enterprise
A field guide for leaders rebuilding engineering around intelligence — past the hype, into the operating models, talent strategy, and disciplines that turn AI from a demo into durable advantage.
Key ideas
What the book argues
Four convictions at the heart of the AI-native enterprise.
AI is an operating-model shift, not a tool upgrade
The companies that win won't be the ones with the most AI tools. They'll be the ones who redesigned how engineering works around them.
Discipline beats enthusiasm
AI rewards organizations with strong engineering fundamentals and punishes those hoping it will paper over weak ones.
The human layer becomes more valuable, not less
As more of the 'how' is automated, judgment, taste, and ownership — the 'why' and the 'whether' — become the differentiators.
Measure what matters, honestly
Most AI ROI claims don't survive scrutiny. The book lays out how to measure real impact without fooling yourself.
Why I wrote it
Because the gap between the hype and the work kept getting wider.
Everywhere I looked, leaders were being sold AI as magic and engineers were quietly figuring out where it actually helped. The conversation needed someone who had lived on both sides of it — who could translate between the boardroom's ambition and the engineering floor's reality.
This book is the guide I wish I'd had: honest about what AI changes and what it doesn't, specific about the operating model it demands, and unwilling to pretend that good tooling can substitute for good leadership.
Bulk & speaking
Want copies for your team — or the author on your stage?
I work with organizations on bulk orders, leadership book clubs, and keynotes built around the ideas in the book.