AI Operations Scorecard Template.

It should include cycle time, acceptance rate, reviewer override rate, false recommendation rate, exception backlog, trace completeness, data quality issues, drift signals, and business impact.

Before launch. A workflow should not move toward production unless the team knows what evidence will prove whether it improved.

A dashboard can be part of it, but the scorecard is broader: metric definitions, evidence sources, review cadence, exception taxonomy, and decision rules for expansion.