You need a pipeline that captures reviewer decisions, preserves context like case ID and policy version, and turns repeated patterns into useful inputs for policy updates and tooling changes. The loop should support replay, auditing, and historical analysis so improvements are based on evidence rather than anecdotes.
Capture every reviewer action as an immutable eventValidate and normalize labels before downstream useTrack policy version and review context for auditabilityAggregate disagreement and friction patterns over timeFeed outputs into policy and tooling workflowsSupport backfills when taxonomy or policy logic changesReviewer agreement rate by policy domainEscalation rate by policy versionRepeated rationale themes tied to tooling gapsDecision drift after policy updatesVolume and freshness of review feedback