How to measure AI value without misleading the organization
Most AI metrics are true and useless: activity counted as outcome, projection reported as result, a pilot cohort extrapolated to a department. Five parts fix all three.
Insights
Practical thinking for leaders building AI-native organizations.
Implementation patterns, operating-model design, governance, and workforce enablement — written for the people accountable for the result.
Human-in-the-loop is an operating model, not a checkbox
Saying a person reviews the output is not a control. A control specifies who reviews, against what standard, with what authority, and what happens when they disagree.
Why most AI pilots never become operating capabilities
A pilot proves a model can do something. Production proves an organization can rely on it. The gap between the two is not technical, and it is where most programmes stop.