Building an Audit Trail for AI Agent Spend

Timestamped decisions, structured logs, and immutable records for every agent transaction.

When your AI agent spends money, you need to know: who approved it, what rule was checked, when it happened, and whether it was approved, blocked, or flagged. A good audit trail is structured (JSON), timestamped (ISO 8601), immutable (append-only), and queryable (search by agent, merchant, amount, or decision).

Set up your spend firewall →

HTTP/1.0 404 Not Found Server: BaseHTTP/0.6 Python/3.12.13 Date: Sat, 18 Jul 2026 00:37:48 GMT Content-Type: application/json Content-Length: 22 Connection: close Access-Control-Allow-Origin: * Access-Control-Allow-Headers: Authorization,Content-Type Access-Control-Allow-Methods: GET,POST,DELETE,OPTIONS,HEAD X-Content-Type-Options: nosniff X-Frame-Options: SAMEORIGIN Referrer-Policy: strict-origin-when-cross-origin Strict-Transport-Security: max-age=31536000; includeSubDomains {"error": "not_found"}