Enterprise AI Transformation
A Practitioner's Framework for Crossing the Last Mile
After four decades working where enterprise architecture meets mission risk, I keep seeing the same thing: AI rarely fails in the lab. It fails in the last mile, the gap between a pilot that impresses and a system people actually use every day.
So, I wrote the paper I wish someone had handed me years ago.
Enterprise AI Transformation: A Practitioner's Framework for Crossing the Last Mile is a tool-agnostic field guide, not a vendor pitch. It's practitioner-to-practitioner: the architecture, the governance, and the human dynamics that decide whether AI becomes real. Inside you'll find a seven-layer control model for production AI, a data-readiness and data-migration playbook, how to match each task to the right technique (and right-sized model), what to do about model drift, and the organizational traps nobody puts on a slide, from the "management inspection trap" to shadow IT and quiet deskilling.
Every section ends with steps you can run this week. No multi-year program required, just the next honest engineering move.
If you're trying to turn AI pilots into production, I think it'll save you some scar tissue.
