AI agents that survive contact with customers

A demo agent handles the happy path. A production agent handles the caller who interrupts, changes their mind, and asks a question outside the knowledge base — at 6:40pm on a Friday.

The three failures we see most often are unbounded scope, no confidence signal, and no human handoff. An agent with unbounded scope will confidently answer questions it has no business answering. Without a confidence signal you cannot decide when to escalate. And without a warm handoff, escalation feels to the caller like starting over.

Our deployment pattern is narrow scope, explicit confidence thresholds, and a transfer that carries the transcript and the extracted intent to the human who picks up. The agent's job is not to replace the team. It is to make sure nobody waits, and that the human who does pick up already knows what the call is about.

Measure it the way you measure a person: resolution rate, average handling time, escalation rate, and customer sentiment on the transcript. If those numbers are not instrumented from day one, you are guessing.