Multilingual AI Voice Agent Platform

Integrated conversational AI voice agents into customer service platform for EdTech company, enabling natural voice interactions for automated inquiry handling and reducing support costs while maintaining quality.

Reduce customer support costs while maintaining high-quality interactions, enable 24/7 automated support without human agents, handle common inquiries through natural voice conversations, provide seamless escalation to human agents for complex issues, and gather insights from conversation data for service improvement.

Integrating ElevenLabs voice AI for natural-sounding conversations

Building real-time WebSocket connections for voice streaming

Managing conversation context across multiple exchanges

Implementing sentiment analysis for appropriate escalation triggers

Reducing API latency for responsive voice interactions

Storing and analyzing thousands of conversation transcripts

Training AI on company-specific knowledge and policies

Built real-time system with Next.js frontend, Node.js/Express backend, MongoDB for conversation storage, WebSocket for voice streaming, ElevenLabs API integration, Langchain.js for context management, and Pinecone vector database for knowledge retrieval. Achieved 60% reduction in customer support response time, handled 1,000+ customer interactions in first month, 85% customer satisfaction rating, 70% query resolution without human intervention, sub-500ms latency for AI responses, and $20K+ monthly savings in support costs.