What should we do first?
Risk-Tiered AI Adoption
Sequence AI by risk, not by one ROI gate: start inside, build the muscle, then go customer-facing.
Reviewed · may be out of date
Frameworks
How I think
The methods I use to get AI into production: what to do first, where it fits in the work, and how far to trust it.
The philosophy
Make AI Boring
AI earns its keep in the boring part: in production, measured, and trusted exactly as far as it’s reliable.
The methods
Make AI boring is the philosophy. Three methods put it to work at three altitudes: the portfolio, the workflow, and the single decision.
Where does AI fit in the work?
Fix First, AI Last
Map the work before you buy the tool: most stuck points need a process fix or a simple rule, not AI.
Reviewed · may be out of date
Applied in
How far should we trust it?
Calibrated Trust
Fluency isn’t truth. Use AI where checking is cheaper than doing, and trust it exactly as far as it has earned.
Reviewed · may be out of date
Applied in
I re-read every framework at least every 6 months. When one is overdue, its stamp turns amber.