Customer Refund Authorization
Automate the decisions you can assure. Escalate the decisions you cannot.
The situation
An AI agent may automatically approve customer refunds. Most cases are inexpensive and routine, and the business wants those automated — but refund amount, return window, customer history, fraud indicators, item status and policy exceptions can change what the agent is permitted to do.
How AnantVerify evaluates it
A Decision Pack defines the required state and legal decision vocabulary (APPROVE / HOLD / ESCALATE / DECLINE). DTT tests the agent around important boundaries:
- One day inside versus outside the return window.
- Just below versus just above the automatic-refund limit.
- An ordinary customer versus an account with relevant fraud signals.
- A valid return versus one missing required evidence.
Business value
The objective is not simply more automation. It is more automation inside an explicitly assured region — cases outside that region can be routed to human review.
Automate the decisions you can assure. Escalate the decisions you cannot.