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Real-time voice intake pilot

Pilot a narrow voice intake experience that transcribes intent, routes simple requests, and hands sensitive or uncertain conversations to people.

Setup time

4 hours

Time saved

3-10 hours

Best for

Service businesses, Support teams, Product teams

Tools

LiveKit, Deepgram, AssemblyAI, Hume AI, HubSpot

Quick answer

How does the “Real-time voice intake pilot” workflow work?

Voice AI works best when its job is small: understand a request, collect minimum necessary details, confirm the next step, and escalate when the policy says to stop. It takes about 4 hours, uses LiveKit, Deepgram, AssemblyAI, Hume AI, HubSpot, and follows 5 documented steps.

Published by GPTNavi Editorial TeamLast materially updated 2026-08-19

Built from public product information and practical workflow-design patterns. Verify current pricing, features, and policies with each provider.

Overview

Voice AI works best when its job is small: understand a request, collect minimum necessary details, confirm the next step, and escalate when the policy says to stop.

When to use this workflow

After-hours intake

Callback requests

Appointment routing

Product voice prototype

Tools you need

LiveKit

Voice

Open source

Open-source real-time audio, video, and data platform for building low-latency voice and multimodal AI applications.

Visit website

Deepgram

Voice

Freemium

Speech AI platform for fast transcription, voice agents, text-to-speech, and real-time audio intelligence.

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AssemblyAI

Voice

Freemium

Speech-to-text and audio intelligence API for transcription, summaries, topic detection, and voice product workflows.

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Hume AI

Voice

Freemium

Empathic voice AI platform for building conversational interfaces with expressive speech and multimodal interaction.

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HubSpot

CRM

Freemium

CRM platform for contacts, pipelines, marketing automation, and sales workflows.

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Step-by-step workflow

Set the call policy

Define disclosure, allowed requests, data-minimization rules, prohibited commitments, escalation triggers, and the human owner.

Tool used

HubSpot

Expected output

A documented call policy.

Create the real-time session

Build a low-latency audio session with interruption handling, status signals, and a clean exit to a human route.

Tool used

LiveKit

Expected output

A testable voice session.

Transcribe and confirm intent

Use live transcription to identify the request, then have the system confirm what it heard before creating a record.

Tool used

Deepgram

Expected output

A verified call summary.

Extract only useful fields

Generate structured intent, urgency, and next-step fields; sample results against recordings before relying on automation.

Tool used

AssemblyAI

Expected output

A reviewed intake record.

Test the conversation experience

Review interruption handling, tone, accessibility, and confusion cases, then route uncertainty to a person rather than guessing.

Tool used

Hume AI

Expected output

An approved pilot experience.

Prompt templates

Voice intake script

Write a safe voice intake script for this business. Include greeting, automation disclosure, allowed questions, minimal data collection, confirmation, exceptions, escalation, and closing. Business: [paste]

Call QA rubric

Create a quality rubric for AI-assisted intake calls. Score disclosure, transcription accuracy, intent capture, data minimization, escalation, tone, customer outcome, and unsupported promises. Calls: [paste]