From unaccountable AI spend to governed cost-per-outcome visibility
How an engineering org moved from open-ended AI tooling spend to a governed gateway — routing spend by task complexity and making cost-per-outcome visible in real time.
Challenges
AI token spend was scaling (~$50K/mo) but velocity wasn't; tools were bolted onto an unchanged SDLC, model choice was manual, and ROI was measured on the wrong metrics with no audit trail.