The method
Six steps from noise to production.
Same operator at every step. Designed so adoption survives contact with real work.
- 01
Find the leverage
Map where AI creates measurable return in your workflows — and name the places it won't. Half the value of a map is what it tells you to ignore.
- 02
Pick one install
One clear next move beats a portfolio of experiments. Scattered pilots are how the 95% got there.
- 03
Build inside the workflow
Design the system around how your team already works. Workflow redesign is the single biggest predictor of pilots that reach production — so that's where the build starts.
- 04
Train on live work
Your team learns on their actual pipeline, tickets, and documents. Nobody changes how they work because of a demo.
- 05
Make ownership explicit
Coaching loops, adoption checkpoints, and a named owner — so week two doesn't undo week one.
- 06
Keep it earning
Models change monthly. I stay close as they do, so the system keeps justifying its place instead of quietly rotting.