Metrics

Measuring What Matters: Getting Real About AI ROI

When a team says they don’t see performance benefits from AI, the first question to ask isn’t “Are you using it enough?” It’s “How are you measuring benefit?”

A lot of organizations track adoption (who has a license, how often they use the tool) or activity (suggestions accepted, chats per day). Those numbers go up and everyone assumes AI is working. But cycle time hasn’t improved, quality hasn’t improved, and the team doesn’t feel faster. So you get a disconnect: the dashboard says success, the team says “we don’t see it.”