A good handoff should save the customer from starting again.
A support agent can recognize that a human is needed and still deliver a frustrating experience if the customer has to repeat the whole issue.
Stephen Stilwell · September 14, 2026 · Product analysis · Content updated October 5, 2026
What the product offers
Decagon describes AI customer service agents and natural-language operating procedures. Official source ↗
The decision that matters
Evaluate what reaches the person taking over: the customer’s problem, identity checks already completed, attempted steps, and the unresolved request. Separate factual context from the agent’s interpretation. Escalation is a workflow with an owner, not simply a sentence saying someone will help.
Try one bounded task.
Use a fictional account-access issue that cannot be resolved by the agent. Trigger the escalation path in a controlled environment. Compare the conversation with the receiving support record and check who is responsible for the next action.
What to capture
Count missing context, repeated questions, unsupported promises, and time until a human can act. Record failures even if the initial response sounds helpful.
Compare the handoff with the work around it
A transfer can preserve the conversation and still lose the unfinished action. The Zendesk Copilot vs Specialized Agents comparison looks at that boundary between human assistance and delegated work. Use the voice-agent scenario checklist when the customer arrives by phone, and the Sierra cross-channel evaluation when the issue moves between channels.
Where this analysis stops
No Decagon access or support interaction was used here. This is an evaluation framework for a vendor demonstration or controlled pilot.
Source reviewed September 14, 2026. Product access and terms can change. These source links have no affiliate tracking added.