Next-Generation IVR System Realized with Twilio Studio Connect Virtual Agent - Twilio CX Innovation Night Part 2 Report

Next-Generation IVR System Realized with Twilio Studio Connect Virtual Agent - Twilio CX Innovation Night Part 2 Report

Twilio Studio's Connect Virtual Agent is a conversational solution that addresses the challenges of traditional DTMF-based IVR systems. With native integration with Google Dialogflow CX, it easily implements natural language voice interactions. It improves customer experience through intuitive operations instead of number inputs, and achieves efficient contact center operations through hybrid handling by AI and human operators.
2025.08.29

Introduction

Traditional IVR (Interactive Voice Response) systems primarily used a method where callers navigated options by pressing numbers. However, this approach was complicated to operate, had high abandonment rates, and improving customer experience remained a challenge.

Twilio Studio's Connect Virtual Agent is a solution that addresses these challenges. With native integration to Google Dialogflow CX, it enables easy construction of conversational IVR systems using natural language. This article explains the technical features and implementation approaches of Connect Virtual Agent.

Virtual Agent

Target Audience

  • Developers considering IVR system improvements or implementing conversational systems
  • Engineers interested in building workflows using Twilio Studio
  • Individuals responsible for contact center automation and efficiency improvement

References

Features of Connect Virtual Agent

Connect Virtual Agent is provided as a Widget in Twilio Studio and achieves seamless integration with Google Dialogflow CX.

Compared to traditional Dual-Tone Multi-Frequency (DTMF) based IVR, it has the following features:

  • Natural Language Support: Natural conversation through voice instead of number input
  • Flexible Dialogue Flow: Dynamic response generation based on spoken content
  • Hybrid Approach: Combines AI response with handover to human operators

Implementation Example

Based on the configuration example introduced at the "Twilio CX Innovation Night Part 2" event, we'll explain implementation patterns for Connect Virtual Agent.

Virtual Agent

Basic Implementation Flow

  1. Call Start: Caller dials a Twilio phone number
  2. Virtual Agent Activation: Studio Flow executes the Connect Virtual Agent Widget
  3. Dialogflow CX Integration: Voice is sent to Dialogflow CX for intent analysis
  4. AI Response: Appropriate responses are generated based on analysis results
  5. Escalation Decision: Transfer to human operators when necessary### Settings in Studio Flow

The Connect Virtual Agent Widget allows the following settings:

Studio image

Required Settings

  • Widget Name: Any name
  • Channel: Select either voice or conversations
  • Virtual agent connector: Name of the Dialogflow CX connector

Optional Settings

  • Parameters: Personalization through session parameters
  • Configurations: Language settings and voice model adjustments

Use Case Examples

As shown in the "Your Challenges" section in the figure, the following use cases can be considered:

  • After-hours automated response: 24-hour support for FAQs and basic inquiries
  • Multilingual support automation: Automatic language detection from speech
  • Streamlining complex inquiries: Initial information gathering by AI

Summary

Twilio Studio's Connect Virtual Agent allows you to easily build conversational systems that go beyond the limitations of traditional DTMF-based IVR. Through native integration with Google Dialogflow CX, it enables natural language processing, flexible conversation flows, and hybrid support. It particularly demonstrates its value in after-hours support, multilingual support, and streamlining complex inquiries.

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