Define stop conditions
Automation should have explicit rules for topics or situations that require a person.
- Sensitive issues
- Low confidence
- High urgency
Qfix Editorial TeamPublished Updated 2 min read
When AI voice calls need a human handoff
Good AI voice automation defines clear stop conditions. Urgency, sensitive topics, low confidence, complaints, and exceptions should move to a human with full context.
Preserve the context
The handoff is strongest when the human receives a concise summary, transcript, reason, and next action.
- Handoff reason
- Call summary
- Customer state
Design the transfer path
A transfer rule also needs a destination and a fallback. Define what happens when the target team is available, unavailable, or unable to accept the call.
- Destination by call type
- Queue or callback fallback
- Customer-facing expectation
Handoff test checklist
Test urgent, sensitive, ambiguous, and low-confidence examples, then confirm that the receiving person can see why the call moved and what has already happened.
- Representative stop conditions
- Context visible to the agent
- Transfer failure recovery
Measure the handoff itself
A transfer event is not automatically a successful handoff. Track whether the destination accepted it, whether the context arrived, what the customer experienced while waiting, and whether an unavailable team produced a queued callback or an unresolved dead end.
- Transfer acceptance
- Context completeness
- Unavailable-destination outcome
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