---
title: "From AI Agent to Human Agent: ElevenLabs Call Handoffs with Twilio"
description: "This reference integration connects an ElevenLabs voice agent to Twilio Programmable Voice, enabling escalation from automated support to a human when a conversation becomes complex, sensitive, or unresolved. Twilio retains ownership of the original inbound call while ElevenLabs conducts the real-time conversation; an escalate_to_human webhook tells Twilio to update that parent Call SID with new TwiML. In the Flex example, Enqueue sends the caller into a TaskRouter workflow, creating a voice task with intent and summary context, while the Call SID and metadata such as direction and phone numbers travel into ElevenLabs as dynamic variables for the handoff. The blueprint describes Studio-owned routing, direct TaskRouter or Flex routing, and custom TwiML destinations; Conversation Memory and Conversation Intelligence are optional additions, and the implementation is explicitly a proof of concept rather than a production drop-in."
---

# From AI Agent to Human Agent: ElevenLabs Call Handoffs with Twilio

[Twilio](https://yomu.fyi/company/twilio) · Ricardo Bangueses · Sep 9, 2026

**Type:** Tutorial

## Summary

This reference integration connects an ElevenLabs voice agent to Twilio Programmable Voice, enabling escalation from automated support to a human when a conversation becomes complex, sensitive, or unresolved. Twilio retains ownership of the original inbound call while ElevenLabs conducts the real-time conversation; an escalate\_to\_human webhook tells Twilio to update that parent Call SID with new TwiML. In the Flex example, Enqueue sends the caller into a TaskRouter workflow, creating a voice task with intent and summary context, while the Call SID and metadata such as direction and phone numbers travel into ElevenLabs as dynamic variables for the handoff. The blueprint describes Studio-owned routing, direct TaskRouter or Flex routing, and custom TwiML destinations; Conversation Memory and Conversation Intelligence are optional additions, and the implementation is explicitly a proof of concept rather than a production drop-in.

## Context

Conversational AI agents can handle repeatable support questions, but complex, sensitive, or unresolved issues require a graceful handoff to a human while preserving control of the live call and carrying useful context into the next experience.

## Approach / What changed

Pass the original Twilio parent Call SID and handoff metadata into ElevenLabs as dynamic variables, let the agent invoke an escalate\_to\_human webhook, and update the original Twilio Call resource with the next TwiML instruction. The reference patterns route the caller through Studio, TaskRouter or Flex, or a custom TwiML destination.

## Takeaways

- The parent Call SID links the ElevenLabs conversation to the original Twilio call and lets Twilio update that exact live Call resource during escalation.
- A Flex handoff uses TwiML Enqueue to place the caller into a TaskRouter workflow and attach intent, summary, and other handoff context as task attributes.
- The blueprint is a proof-of-concept reference implementation; authentication, routing, observability, security, data retention, and compliance controls require production-specific adaptation.

**Tags:** [ElevenLabs](https://yomu.fyi/topic/elevenlabs), [TaskRouter](https://yomu.fyi/topic/taskrouter), [Twilio](https://yomu.fyi/topic/twilio)

- Source: [Twilio](https://www.twilio.com/en-us/blog/developers/tutorials/integrations/ai-agent-to-human-agent-elevenlabs-call-handoffs-twilio)
- Source URL: https://www.twilio.com/en-us/blog/developers/tutorials/integrations/ai-agent-to-human-agent-elevenlabs-call-handoffs-twilio
- Ingested by Yomu: 2026-09-11T04:01:17.245Z

[Read original post](https://www.twilio.com/en-us/blog/developers/tutorials/integrations/ai-agent-to-human-agent-elevenlabs-call-handoffs-twilio)