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AI Agent Handover: Test Before Acceptance

Before accepting an AI agent, ask the person who will operate it after launch to complete an agreed task in an account your company controls. In this example, the agent fails to find an order. The successor checks the approved release, its connection to the order system, their access, and the agreed stop procedure. The result shows whether the operator can take over the task and what still needs work.

Author

Syntalith

Published Updated 6 min read

Acceptance should show the next operator can take over

An agent can appear ready at handover: the developer shares files and documentation, then shows a successful run. The buyer still needs to see whether the designated operator can identify the system version, check its connection to a company service, and stop the process safely when an error appears. If every difficult case requires the original developer, the handover has not been demonstrated.

Here, acceptance means an agreed exercise that tests the transfer of day-to-day operating responsibility. A documentation review describes what was delivered. The exercise checks whether the operator can complete the agreed task in an account the buyer controls. Set the pass criteria, the functions covered by acceptance, and any known gaps before testing.

Scenario: the agent cannot find an order

Suppose an agent helps employees find orders in the company’s order system. After the agent is moved to the buyer’s account, a user reports that it could not find a record that should be available. The successor operator needs to confirm which approved agent release the test uses and whether it connects to the right source. They then distinguish an access problem from an agent error, show the agreed stop procedure, and follow the defined recovery or escalation path.

Run the exercise in a sandbox with accounts controlled by the buyer. It does not require an interruption to production or credentials in the handover documents. The developer may observe the run. The successor’s own actions demonstrate readiness: identifying the release, checking the dependency, and stopping or escalating as agreed.

Several causes could explain the report. The operator may lack access to the right account, the connection may point to a different resource, or the agent may return an incorrect result. The message “not found” does not establish which situation occurred. The acceptance criteria should cover what the operator can confirm, what remains out of view with the available access, and when they stop the exercise and ask for help. They should also be able to identify the technical owner and pass along the observed result and the question that remains unresolved.

Before the test, the buyer and provider should record which release and source are in scope and which record the agent is expected to find. That gives them a result to compare with the agent’s behavior, while they separately check whether the operator inspected the right account and connection. The operator receives the report and leads the agreed troubleshooting. The criteria say whether identifying the problem is sufficient for a pass or whether the system needs a correction.

The test record should make the context reviewable without exposing secrets. Include the approved release identifier, the access and dependencies checked, the observed result, unresolved items, and the person who accepted the tested scope. The buyer should assign owners for the accounts, connections, and billing. Exported files help document what was transferred. A hands-on exercise shows whether the operator can run and assess the system.

The Microsoft Copilot Studio import and export guide says user authentication must be configured again after import. It also describes including dependencies such as connectors and connection references. For acceptance, check the operator’s access and the connection in the buyer’s account.

What a failed test means

An unidentified release, an unchecked dependency, or uncertainty about when to stop leaves a handover gap. Record who will address it and what result will close it in a retest. A single access issue may call for updating the account. An unassigned connection owner or an unknown system version needs a wider scope discussion before the next attempt.

The person responsible on the buyer’s side should record what the operator completed independently, where they needed help, and which gaps remain. That record gives the team a specific correction to make and a clear retest scope.

A full handover exercise may be unnecessary for a simple tool used occasionally, with no external connection and no effect on other people’s work. A documentation review and a joint run may be enough. Even a small handover should name the person who runs the tool and explain how to report a problem. A larger exercise is useful when a new operator takes over several accounts or dependencies and an error could stop order handling. The buyer can then assess three distinct things: the documentation, the successor’s independent run, and any separate commitment to respond to future issues. The first describes the system, the second shows whether the task can be taken over, and ongoing maintenance defines who helps when the system or its surroundings change.

Agree on the handover scope with the provider

Syntalith builds AI agents, and agent work may also involve connections to company systems. Discuss both as part of the handover. The model’s behavior alone cannot show whether the successor can reach the right source, and a working connection does not establish that the agent’s result is correct. Describe the implementation scope and acceptance exercise separately, including who runs the test and who accepts the result for the buyer.

Bring one report the operator should be able to handle, the name of the person who will own the account, and a list of systems the agent connects to. Those details help define what the team can test in the buyer’s account and who will judge the result. If the operator does not pass, ask the provider to scope a focused correction and retest. The cost depends on the agreed scope; see Syntalith pricing.

If you are also agreeing ongoing monitoring, updates, and incident response, see the guide to AI agent maintenance after deployment.

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