What is this?
A weekly scorecard for the Trust & Safety / Support QA lead at a UK or EU marketplace, fintech, or platform with a customer-facing support team (50-500 employees). After each refund/dispute/appeal decision closes, the lead pastes the case ID and the agent's adjudication; AE pulls the platform's published policy text, the transaction record, and any downstream signal (chargeback outcome, FOS/regulator complaint, reopened case). AE grades whether the agent's call was procedurally defensible against the stated policy. Over weeks, the scorecard surfaces which agents systematically misread which policy clauses, which clauses produce escalations, and how adjudication quality correlates with chargeback loss rates by case type. The lead uses it to inform agent coaching, escalation routing, and policy-clause rewrites. AE fits because adversarial multi-model debate extracts whether an adjudication holds under contrary readings of policy, and structured constraint language with lifecycle states tracks policy-clause patterns and their downstream escalation rates. Resolution cycles run 7-30 days (chargeback windows, appeal closures).
Why did we consider it?
AE's graded-prediction + adversarial-debate + lifecycle-clause stack is uniquely shaped for marketplace adjudication QA, where reality grades decisions within 30 days and the buyer pays from a rising compliance budget.
No external evidence collected yet.