Action receipts for AI agents
Create clear, structured records showing what your AI agents and automated workflows did, when they did it, and whether a human approved the action.
What an action receipt records
Actor — which agent, workflow or system took the action.
Action — what it did, which tool it used and the outcome.
Approval — whether a human approved it and which policy applied.
Built for teams deploying AI agents
For AI automation agencies, software teams and consultants that need a clear record of what an agent did—without implementing a large enterprise observability platform.
See an AI action receipt
A concept example showing how TracingAPI could record and verify a consequential action performed by a customer-service AI agent.
Concept Action ReceiptAction: Customer refund
Amount: £184.50
Customer request: Cancellation following a duplicate booking
Agent: SupportAgent-14
Support case: CS-104829
Policy applied: Refund Policy v6.2
Eligibility: Confirmed
Agent authority limit: £100
Human approval required: Yes
Approved by: Support Manager
Execution: Payment-provider refund API
Result: Successful
Account status before: Paid
Account status after: Refunded
Evidence recorded: Request, policy, approval, API response and timestamps
Receipt status: VerifiedIllustrative concept only. TracingAPI is currently seeking design partners.
Tell us about your workflow
Tell us what you are building and where agent traceability is difficult. Early conversations will help shape the first version.
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Start with one agent
You do not need an enterprise-wide rollout. Begin with one workflow, one agent and one clear action-receipt format.