Voice AI Contact Center

Summary

Deployed a highly optimized, low-latency conversational AI pipeline using fine-tuned transcription models and semantic routing to resolve 95% of inquiries in under 30 seconds.

Before

Every missed call was a lost opportunity. Customers waited on hold, grew frustrated with robotic responses, and often hung up before reaching a human. Meanwhile, the support team burned out handling repetitive inquiries while critical issues went unresolved.

After

We implemented an event-driven architecture where fine-tuned LLMs analyze intent and sentiment in real time. Routine inquiries are resolved instantly via semantic routing, while complex edge cases are seamlessly escalated to human operators with full conversational context.

Impact

95% automation rate, 60% support cost reduction, 40% CSAT lift, and a 30-second average handle time.