Voice AI Observability 101: Live Demo & Platform Walkthrough
A live, hands-on session for teams building and operating voice AI in production. You’ll learn what voice AI observability really means, why it becomes non-negotiable once agents go live, and how to implement it step by step using Tuner.
In this webinar, we’ll cover:
What observability means for voice AI and how it differs from traditional monitoring and logging
Why observability is critical in production, including common failure modes, silent issues, and problems teams often discover only after customers complain
How to think about observability for voice AI, from infrastructure and latency to conversation quality, agent behavior, and user impact
A live walkthrough of the Tuner platform, including dashboards, alerts, conversation tracing, and root-cause analysis
Live integrations, connecting Tuner to popular voice AI stacks like Pipecat, Retell, and VAPI, plus a real customer integration to demonstrate observability in a production-like environment
By the end of the session, you’ll have a clear understanding of how to instrument, monitor, and debug voice AI systems in real time, and what “good” observability looks like when your agents are live with customers.
Who this is for:
Product managers, AI/ML engineers, platform teams, and technical leaders building, shipping, or scaling voice AI applications.
