Enterprise AI, end to end
How I take companies from “we should use AI” to production that actually pays for itself. The method, the decisions, and the lessons — written down. Start with the framework, then read whichever stage you're stuck on.
A repeatable method
Twelve stages, four phases — the spine every article hangs off.
One per decision point
Each ranks on its own — and links back to the method.
New here? Start with why most enterprise AI projects fail.
The AI readiness assessment
Before you build anything, find out whether your organisation can actually carry it. Five dimensions I score with every client.
→5 minPoC vs MVP vs production: know which one you're building
Most AI projects stall because they quietly change category mid-flight. Three different things, three different bars.
→Every article links to the framework and to its siblings. Google reads that web of links as topical authority — and starts ranking the whole Playbook, not just single posts. One reader arrives for “RAG vs fine-tuning” and ends up touring the entire method.
