I have been in your chair.

For more than 25 years I led technology inside public and private organizations — across aerospace, defense, energy, and other regulated environments, at every scale. I modernized infrastructure, hardened cybersecurity in highly regulated, security-sensitive environments, and built AI and data capabilities from concept to production. I have led initiatives that succeeded spectacularly and others that failed painfully. Both taught me the same lesson.

The path was never a straight line. I started close to the machine — as an architect, hands on the design — and worked my way to the CIO's chair. That climb, from the technical foundation up through the executive suite, is why I can sit with a board and a build team in the same afternoon and be fluent in both rooms. Most transformations fail in the gap between those two rooms. I have spent a career closing it.

Technology doesn't fail organizations — leadership does.

The organizations that succeed with AI don't have better data scientists or more advanced tools than everyone else. They have leaders who understand that AI transformation is fundamentally a change-management challenge wearing a technology costume. Strategic clarity, honest alignment, and the discipline to say no to the wrong pilot — that is what separates the 5% who succeed from the 95% who don't. I distilled those hard-won lessons into the Seven Pillar framework at the heart of Why AI Fails.