Contact centers powered by scalable voice AI agents are quickly becoming a step change in customer engagement, but moving from a demo or prototype to a production-grade rollout is where most teams struggle. In this webinar, we’ll break down where voice AI agents fail first in the real world, from latency spikes at scale to audio degradation and inconsistent agent behavior. Hear perspectives from Telnyx, Rime, and Weights & Biases on what decisions matter most when building multi-agent AI systems for reliability at scale.
What to expect
How to design low-latency voice systems that customers perceive as natural
Exploration of techniques for multi-modal agent observability, evaluation, and debugging
A live multi-agent demo showing how triage, system-driven responses, and human escalation work together in a production-style call flow
What you’ll learn
How to design production-ready multi-agent call flows optimized for minimal latency and consistent, repeatable outcomes
Lessons learned from Telnyx, based on launching thousands of production agents powered by Rime’s voice models
Who should attend
AI researchers, AI engineers, software developers, and AI leaders
