Entry 001
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Reviewed · may be out of date
AI today is alchemy. My job is turning it into chemistry.
Real value comes from AI that’s in production, measured, and trusted exactly as far as it’s reliable. These are the methods I use to get there, and the work that proves them.

Make AI boring is the philosophy. Three methods put it to work at three altitudes: the portfolio, the workflow, and the single decision.
What should we do first?
Sequence AI by risk, not by one ROI gate: start inside, build the muscle, then go customer-facing.
Reviewed · may be out of date
Where does AI fit in the work?
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Reviewed · may be out of date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?
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Reviewed · may be out of date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
Frameworks are claims until something ships. Each project below puts at least one of them into practice.
Live2026
An interactive essay on calibrated trust: why AI sounds sure when it’s wrong, and how to decide when to rely on it, check it, or keep the work.
Puts into practice
Open the project (opens theconfidentmachine.com in a new tab)Read the case study
Live2026
A two-minute tool that maps your work week into a one-page blueprint: what to fix, what to automate, where AI helps, and what stays human.
Puts into practice
Open the project (opens mapyourworkflow.com in a new tab)Read the case study
Today I lead AI enablement for a large commercial organization: finding where AI fits, guiding it through governance, and reporting what it actually delivers. I got here through analytics, turning marketing and commerce data into decisions teams could act on. The habit underneath it all started with a journalism degree: make complicated things clear to people with no time to spare.
One job throughout: making complex things clear.
Entry 001