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Engagement

AI Voice Agents

One channel inside a much larger system: a voice agent that answers, understands and completes the call.

The problem

Phones still carry the highest-intent contacts in most organizations, and they are the channel most likely to be missed. But an agent that only answers has moved the problem, not solved it — the call still has to become a record, a booking and a task.

How it works

We script the agent around your real call flows, connect it to the same operations layer as every other channel, and give it permission to finish the job — book, reschedule, take a message, or transfer to the right human.

  • Natural conversation with interruption handling
  • Live calendar access, so the time offered is a time that exists
  • Warm transfer with a spoken summary for your team
  • Full transcript written to the record automatically
AI Voice Agents — how it works

What's included

In the build

  • Answering inside three seconds, day and night
  • Overflow and after-hours coverage for your existing lines
  • Multilingual options
  • Call outcome tagging and recording policy controls
  • Escalation rules for urgent or sensitive calls

Human in the loop

Every automation has an explicit handoff point. When confidence is low, the language is sensitive, or a decision needs judgment, the system stops and brings in a person — with the full history attached.

In practice

For a home-services company, the agent answers, qualifies the job, books the visit, assigns the crew and texts the confirmation. The call is the visible part; four automated steps follow it.

  • Fewer abandoned calls at peak
  • No voicemail backlog on Monday morning
AI Voice Agents — in practice

Typical integrations

TwilioRingCentralAircallGoogle CalendarServiceTitan

Continue exploring

Let's map what your team could automate next.

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