An insurance company receiving 2,000+ inbound calls daily needed a conversational AI voice agent that could handle initial qualification, answer FAQs, and book appointments — all while logging interactions in their CRM.
Their human agents were spending 60% of call time on repetitive qualification questions. They needed an AI system that could handle natural conversation, understand intent, and seamlessly transfer to humans only when necessary.
We deployed a conversational AI voice agent with real-time speech-to-text, intent classification, dynamic response generation, and sentiment analysis. The agent handles 70% of inbound calls end-to-end, reduces average handle time by 45%, and logs all interactions with full transcripts in their CRM.
Download our case study to explore how we built an AI voice agent handling 70% of inbound insurance calls.