How do call transfers work between an AI agent and a human agent?

When Televanta's AI Call Agent needs to transfer a call to a human, it announces the transfer to the caller out loud, then hands the call over along with a real-time summary of the conversation so far, including the caller's intent, any key details already gathered, and a sentiment reading. The human agent sees this summary the moment they pick up, meaning the caller never has to explain their situation from the beginning a second time.

This handoff process matters as much as almost anything else in the whole system, since it's the exact moment where a lot of automated phone systems fail one of two ways. Some fail loudly, dropping a caller into a dead-end transfer with no context passed along at all, forcing them to repeat everything.

Others fail quietly, technically completing the transfer but leaving the human just as unprepared as if no automation had happened in the first place.

A bank shows how this plays out for a fairly typical escalation. A customer calling about a disputed transaction gets asked for the account number, transaction date, and disputed amount by the AI, all routine details that don't need human judgment to collect.

Once the AI recognizes this needs a person's decision, it announces the transfer and sends those exact details to the human agent who picks up. That agent can go straight into resolving the dispute instead of spending the first two or three minutes gathering facts the caller already gave once.

An insurance company shows a version built around urgency rather than routine handoff. A claims call involving a serious accident or injury gets flagged for immediate escalation, and the human agent picking up sees not just the basic details gathered so far, but also a flag noting the urgency level, so they know to prioritize this call over others waiting in whatever internal queue exists for follow-up.

It's worth pointing out that transfers can be configured differently depending on how a business wants them to work. Some businesses prefer a warm transfer, where the AI stays briefly on the line to introduce the caller to the human agent directly.

Others prefer a cooler handoff, where the call simply rings through with the summary already visible on screen. Neither approach is universally better.

It depends on what feels most natural for that specific business's calls and how its human team prefers to receive incoming transfers.

Timing the transfer well matters just as much as the mechanics of how it happens. Transferring too early, before the AI has gathered any useful context, defeats much of the purpose, since the human ends up doing the same information-gathering work the AI could have handled first.

Transferring too late, after pushing a caller through several failed attempts at automated resolution, risks frustrating someone who probably should have been escalated sooner. Getting this balance right usually takes some tuning specific to each business's typical call patterns, adjusted over the first few weeks based on real transfer data rather than guessed at from the start.