AI Implementation Blueprint
A deep-dive framework for taking an AI project from idea to shipped — scoping, data, build, and the checkpoints that keep it on track.
What's inside
The end-to-end framework I use to implement AI on real projects:
- Scoping an AI build so expectations match reality
- Why data eats 80% of the timeline — and how to plan for it
- The build → test → validate loop that catches problems early
- Deployment and the ongoing work models actually need
Who it's for
Delivery leads, fractional tech leads, and PMs running AI projects who want a repeatable blueprint instead of improvising each time.