Short answer
Governing an AI action requires connecting the proposal, version, human authority and target-system confirmation. Approval must match the executed fields and expire according to the defined policy. If the outcome is unknown, query or reconcile before repeating the operation.
Key verification: Test an amount change, expired authorisation and a duplicate event without duplicate execution.
Sources and limitationsApproving a response and authorising an operation are different decisions. An agent can explain a procedure without permission to change a contract or issue a refund. To automate actions, define what it can propose, who may approve and what confirmation proves the target system applied exactly what was authorised.
Vocalcom AI Agent Governance presents approval, intervention and traceability. This guide’s process is an editorial proposal for a demonstration, not a description of its API or a tested deployment.
Define authority over the specific action
Fictional example: a service allows refund proposals of 40 euros following incident review. The AI can prepare the request; an authorised owner decides. The approval screen should show case, amount, currency, reason, recipient and version. “Authorise this case” is insufficient if any of those fields can change afterwards.
| Proposed state | What is allowed | Required evidence |
|---|---|---|
| Proposed | Read and prepare data | Complete action with version |
| Pending | Wait for a decision without executing | Owner and expiry |
| Authorised | Send the approved version | Who approved and which fields |
| Submitted | Check the result before retrying | Stable operation identifier |
| Confirmed | Communicate the actual outcome | Target-system confirmation |
Add rejected, expired and unknown-outcome states when needed. Unknown outcome means you do not know whether it ran: query or reconcile before submitting again. Changing a message to the customer does not undo an operation; any reversal needs its own process and authority.
A data change invalidates the previous approval
If the proposal changes from 40 to 60 euros, return it to pending with a new version. The earlier approval should not authorise that change. Apply the same rule when the recipient, invoice or receiving account changes, even if the amount stays the same. The authorised object’s identity matters as much as its value.
Also check what happens if an owner loses permission after approval but before execution, or authorisation expires while the system waits. Write the business policy for those cases and verify the application respects it. An “approved” record without context does not resolve these situations.
Test failures at system boundaries
- Create a fictional request and confirm the AI does not execute while waiting.
- Approve with an authorised user and check that a user without permission cannot approve.
- Change a material field and verify that fresh approval is required.
- Deliver the same event twice and check for one operation in the target.
- Simulate a lost response after execution; query the target before repeating.
- Let authorisation expire and test the renewal process.
Reconstruct a decision without relying on memory
Minimum evidence should connect the interaction, proposal, rules version, human decision and target outcome. Use identifiers that make the case searchable without publishing complete customer details. Ask a reviewer to explain an operation from the record alone: if they cannot identify what was approved, traceability is incomplete.
Accept the pilot based on observed controls rather than the number of automated actions. Duplicate execution or an unauthorised change requires repair before expansion. Also retain an owner and a manual route for cases automation cannot resolve.
Sources and limitations
Documentary review: . Content type: Documentation-based guide with original exercise.
Sources describe terms and capabilities stated by their owners. Proposed protocols and fictional examples do not establish product tests performed by CallsIQ.
- Vocalcom AI Agent Governancewww.vocalcom.ai
Official sources, explained calculations and clearly labelled examples. Read about our methodology and use of AI in writing.