Human-in-the-loop systems stall when reviewers receive low-signal context. Build approval packets with intent, key evidence, confidence signals, and suggested action.

Good packets include links to sources and prior attempts. Reviewers can resolve exceptions quickly without rebuilding the task mentally.

Store reviewer outcomes as structured feedback. This data improves triage, model routing, and policy tuning over time.