Human Approval and Exception Handling | Audit and Experimentation Prompt

What this prompt helps you do

Audit an existing page, process, dataset, or asset, separate facts from assumptions, and turn the highest-priority issues into tests with baselines, metrics, and stop conditions.

Prompt text

Act as a ecommerce AI governance and risk-control lead and audit the current [Page/Process/Data/Asset] related to the objective: place approvals, exception routing, and recovery around high-risk actions. Materials: [Action inventory], [Amount and risk thresholds], [Approvers], [Timeout rules], [Audit requirements]. Classify findings as Blocking, Major, Moderate, or Optimization, and quote the evidence that triggers each finding. Provide: (1) an issue list; (2) Risk tiers, Approval matrix, Notification content, Timeout and rejection paths, Audit log; (3) at least four improvements or experiments prioritized by impact versus effort; (4) for each experiment, the hypothesis, change, primary metric, guardrail metrics, observation period, and stopping rule; and (5) required human approvals before publishing or execution. Special requirement: Refunds, payments, pricing, inventory, deletion, and outbound communications should require human approval unless explicit low-risk rules permit them.