Board-Ready AI Metrics: Five Numbers That Survive Audit

Boards do not need model parameter counts or leaderboard scores. They need five numbers that tie artificial intelligence programs to risk, spend, and outcomes—each with a written definition, a named owner, and a source system finance can reconcile. This framework replaces slide-deck vanity metrics with audit-friendly definitions operators can produce monthly. The National Institute of Standards and Technology (NIST) AI Risk Management Framework emphasizes measurement as a govern function; this pack gives directors the five queries that survive a risk committee without a technical translator in the room [1].