Loka transformed customer voice interactions by building a conversational AI agent with Amazon Nova 2 Sonic that keeps customers engaged with natural, responsive experiences. Their AWS-based solution achieves high speech reasoning accuracy on Big Bench Audio while delivering significantly lower costs and faster response times than traditional voice AI pipelines. In this post, we demonstrate the architecture and approach Loka used to solve a common frustration: robotic, slow voice assistants that cause customers to hang up, damaging brand reputation and driving up support costs.

Why traditional voice assistants fall short

Traditional voice assistants follow a three-step process that creates the fundamental problem. First, they convert your speech into text using Speech-to-Text systems. Next, they process that text through a Large Language Model (LLM). Finally, they convert the text response back into speech using Text-to-Speech technology. This pipeline introduces compounding delays at every step. The result is often a 3 to 5 second pause before you hear a response. That delay destroys the feeling of natural conversation. It makes interrupting or correcting the assistant feel clunky and frustrating.