An AI agent audit trail should preserve enough evidence to reconstruct what the system was asked to do, what it decided, what was approved, what it attempted, what happened externally, what failed, and what happened next.
What is a receipt?
A receipt is structured evidence that an event occurred. It may represent an instruction, decision, approval, execution attempt, result, failure, escalation, exception, cost, or recovery action.
Why receipts matter for agentic systems
Without reliable receipts, the business cannot safely investigate failures, prove approvals, distinguish success from unknown state, or decide whether a retry is safe.
Minimum useful fields
Useful receipt fields may include timestamp, workflow, step, initiating role, executing role, authority reference, rule reference, approval reference, action attempted, result state, evidence source, error, cost, and related receipts.
Audit chain
Individual receipts become valuable when they can be linked into a sequence: request → decision → approval → execution → result → exception → recovery.
Evidence strength should match risk
A low-risk internal draft may need only a version record. A financial, destructive, published, or customer-facing action may require stronger external confirmation.
How this fits the Catha AI Governance Build Kit
This topic is one part of the broader Catha AI Governance Build Kit, a fourteen-stage build process covering business outcome, governance discovery, authority, rules, permissions, autonomy, workflow design, validation, receipts, production approval, monitoring, recovery, final readback, and platform export.
The governance baseline belongs to the business. Platform-specific implementation may differ, but approved authority, rules, permissions, autonomy, approvals, and evidence requirements should not silently change.
Questions businesses ask about this topic.
Is a log entry always enough?
No. The evidence should be strong enough to prove the event that matters. Internal logs may be insufficient for some external actions.
Does no receipt mean the action failed?
Not necessarily. It may mean the action status is unknown.
Should receipts contain sensitive data?
Only what is needed. References, identifiers, hashes, or summaries may be better than duplicating full sensitive content.
Keep reading
Build the control system before you scale the agents.
The Catha AI Governance Build Kit helps businesses define authority, permissions, autonomy, approval gates, evidence, monitoring, recovery, and production controls before AI agents operate live.