AI Refund Authorization with Anti-Fraud Coruless
Customer service teams need authority to issue refunds while preventing abuse and tracking patterns for chargeback defense.
Das Problem
Refund requests evaluated before processing. Per-customer monthly limits, reason code validation, and repeat-refunder detection prevent abuse while legitimate customers receive fast resolution. Each refund carries an audit trail linking the agent, reason, and policy version — defensible in chargeback disputes.
So löst Corules es
ESCALATE: Customer has 4 refunds in last 30 days (limit: 3). Escalating to customer fraud team.
Richtlinienbeispiel
// Refund policy (CEL)
context.refund_amount <= params.max_refund_per_request
&& context.customer_refund_count_30d < params.max_refunds_per_customer_30d
&& context.refund_reason in params.valid_refund_reasons
&& context.order_age_days <= params.max_refund_window_daysIntegrationsoptionen
Frequently Asked Questions
Can the refund window vary by product category?
Yes. Policy can parameterize max_refund_window_days by product category, customer tier, or purchase channel.
How does this help with chargebacks?
Every ALLOW decision produces an audit record with the specific reason code and policy version. This is submitted as evidence that the refund followed a documented policy.