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AI Calling Agent – ElevenLabs Voice AI

AI Calling Agent using ElevenLabs

An AI-powered voice calling agent built using ElevenLabs to automate human-like phone conversations at scale.

AI Calling Agent – ElevenLabs Voice AI Case Study

Services:

  • AI Agent Development
  • Voice AI Integration
  • Conversational Flow Design
  • API Integration
  • Deployment & Optimization

Sector:

  • Artificial Intelligence
  • Voice AI
  • Automation

Tech:

  • ElevenLabs Voice AI
  • Node.js
  • WebSockets
  • REST APIs
  • Cloud Infrastructure

AI Calling Agent using ElevenLabs

The AI Calling Agent is an advanced voice-based conversational system developed using ElevenLabs’ cutting-edge speech synthesis and conversational AI capabilities. The solution enables businesses to automate outbound and inbound calls with natural, human-like conversations for use cases such as lead qualification, appointment scheduling, customer support, and follow-ups.

The agent is designed to understand user intent, respond contextually, and maintain fluid conversations, significantly reducing manual calling effort while improving response rates and customer experience.

Creating a data-driven customer experience

Project highlights

Challenge

Solution

AI-Powered Voice Calling Agent using ElevenLabs

Hidden Mind Solutions developed an AI Calling Agent powered by ElevenLabs Voice AI to enable real-time, natural, and context-aware phone conversations. The agent intelligently understands user intent, responds with human-like speech, and adapts dynamically during calls. The system supports automated call flows for lead qualification, appointment scheduling, follow-ups, and customer support, while remaining scalable and reliable.

OutComes

High-Accuracy, Scalable, Always-On Voice Automation

The AI Calling Agent achieved over 86% call intent classification accuracy, enabling reliable automation of customer conversations. Businesses experienced faster response times, reduced manual calling effort, and improved engagement rates. With 24/7 availability and scalable infrastructure, the solution successfully handled high call volumes while delivering consistent, human-like interactions.

Project showcase

The Results

0Call intent classification accuracy
0Autonomous AI calling availability
0AI-powered calls handled at scale