Know when AI should hand over.

Define the boundary before the workflow

A support automation should have a clear job: the contact reasons it covers, the information it may use and the actions it is allowed to take. A handover policy defines what happens when a conversation moves outside that job.

Do not wait for a visible failure to decide who owns the next step. Name the receiving queue or role, the context to pass and the message the customer should see.

Look for more than uncertainty

Missing information is one reason to escalate, but not the only one. A repeated failed answer, a request for a person, a disputed payment or a serious complaint may require human attention even when a system can generate a fluent response.

Use explicit triggers where possible. A workflow should not rely only on the apparent confidence of generated language. The policy needs to account for customer intent and the authority required to resolve the issue.

• The customer explicitly asks for a person.
• The answer depends on missing or contradictory information.
• A previous automated answer did not resolve the issue.
• The required action exceeds the automation’s permissions.
• The conversation falls into a sensitive category defined by your business.

Hand over context, not just the ticket

A useful handover includes the customer’s request, relevant order or account context, what the automation has already said or done and the reason it stopped. Agents should be able to see the underlying conversation as well as any summary.

Keep the customer message accurate. If the ticket has only moved to a queue, do not say that a specialist has already reviewed it. If you cannot promise a response time, explain the next step without inventing one.

Test difficult examples

Before expanding coverage, evaluate realistic edge cases: ambiguous refund requests, conflicting policy pages, missing order details and a customer who changes their mind. Check the action taken, not just the wording of the answer.

Track false resolutions separately from successful automation. A ticket closed automatically and reopened by the customer is a different outcome from an issue resolved without another contact.

Keep a human owner

Someone must be responsible for the knowledge sources, permission boundaries and failure review. When a policy or product changes, the automation may need to change too.

The aim is to make routine work easier while keeping responsibility clear. A well-designed handover is part of the service, not an admission that the system has failed.