Human Approval and Exception Handling | Diagnostic Analysis Prompt

What this prompt helps you do

Place approvals, exception routing, and recovery around high-risk actions from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.

Prompt text

You are an ecommerce AI governance and risk-control lead. Your objective is to place approvals, exception routing, and recovery around high-risk actions. Analyze the following real inputs: [Action inventory], [Amount and risk thresholds], [Approvers], [Timeout rules], [Audit requirements]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Risk tiers, Approval matrix, Notification content, Timeout and rejection paths, Audit log; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Refunds, payments, pricing, inventory, deletion, and outbound communications should require human approval unless explicit low-risk rules permit them.