# AI Voice Intake and Handoff Stack

> A guarded stack for using voice AI in intake and scheduling while keeping consent, data minimization, escalations, and ownership explicit.

- Canonical: https://gptnavi.com/stacks/ai-voice-intake-and-handoff-stack
- Estimated monthly cost: $50-$500/month plus call usage
- Last materially updated: 2026-08-19
- Best for: Service businesses, Sales teams, Support teams, Operations leads

## Problems this stack solves

- After-hours intake
- Slow callback routing
- Missed inquiries
- Scheduling friction
- Call quality review

## Recommended tools

### Voice-agent runtime

Recommended: Vapi, Bland AI

Why: Build narrow inbound or outbound flows with clear handoff rules.

### Voice layer

Recommended: Cartesia, ElevenLabs

Why: Select an understandable, brand-appropriate voice and test real-time delivery.

### Policy and intake design

Recommended: Tally, Notion

Why: Document required disclosures, permitted questions, escalation triggers, and data minimization.

### Relationship and handoff

Recommended: HubSpot, Slack

Why: Route verified intent to the right person and make exceptions visible.

## Beginner setup plan

1. Start with one low-risk call type such as a callback request.
2. Disclose automation and recording where required.
3. Never let the agent make pricing, legal, medical, or payment commitments.
4. Review call samples and escalation outcomes every week.

## Included workflows

- https://gptnavi.com/workflows/ai-voice-intake-with-human-handoff
- https://gptnavi.com/workflows/automate-lead-intake-and-qualification
- https://gptnavi.com/workflows/customer-onboarding-to-first-value
- https://gptnavi.com/workflows/support-triage-to-product-backlog