The hand-off is the product
Most AI deployments fail at the transfer. This is what the agent sees at the moment of hand-off.
Illustrative transcript. Language, tone and escalation wording are configured per queue.
Deploy them independently — resolution alone, or qualification alone.
Every agent has a written scope, a data allow-list, an escalation threshold and an audit trail. Answers are grounded in your own systems, with the source recorded.
Supervisors can read every AI turn, override any answer, and pull an agent out of a queue in one click.
Most AI deployments fail at the transfer. This is what the agent sees at the moment of hand-off.
Illustrative transcript. Language, tone and escalation wording are configured per queue.
Reported per queue, per agent and per AI agent version, so you can compare a change against the version it replaced.
Every AI agent is configured by someone who knows your business, and every escalation lands with a person who has the summary in front of them.
Placeholder frames — drop your own photographs in. Each caption says what the shot should show.
An AI agent collects context, then passes the live call over with a written summary.
An inbound WhatsApp voice call, with the AI hand-off summary, live transcription and the full thread history attached before the agent says hello.
Every connection can come from you or from us — and you can mix per country. Switch later without changing platforms.
Most customers mix: their own trunk in one country, our numbers in another.
Point it at your knowledge base, set the escalation threshold low, and watch what it resolves before you widen the scope.
