Prove which policies, human approvals, and risk constraints governed every consequential action taken by an AI agent in production.
{
"receipt_id": "RCPT-20260722-88019",
"timestamp_utc": "2026-07-22T22:38:10Z",
"agent": {
"agent_id": "AGT-1049",
"name": "Customer Refund Agent",
"owner": "Sarah Jenkins (Customer Ops)"
},
"action_requested": {
"tool_name": "Stripe Refund API",
"amount_usd": 175,
"target_resource": "Customer Account #88201"
},
"policy_evaluation": {
"auto_approval_threshold_usd": 100,
"approval_required": true,
"approver_id": "usr_sjenkins_901",
"approval_timestamp": "2026-07-22T22:38:08Z",
"status": "PERMITTED_WITH_HUMAN_APPROVAL"
},
"execution_result": {
"http_status": 200,
"stripe_refund_id": "re_3Mv8s72eZvKYlo2C",
"outcome": "SUCCESS"
},
"receipt_signature": "sig_ed25519_9012a83b7c4d5e"
}