Voice Agent Supervision: Finding the Hidden Cost of Conversational Blind Spots
Wednesday, August 5, 2026 at 4:05 PM to 4:25 PM · 20 min. (US/Pacific)
Palazzo Ballroom D
Solo Talk
Oversight: AI ROI
Information
What if the biggest ROI drain on your voice agent deployment isn't a bug in the system — it's a tone the agent never learned to hear?
Voice agents are scaling fast, but most enterprises have no way to measure where they're quietly losing money to conversational blind spots: misread emotion, missed emphasis, and frustration signals buried in audio that never surface in a transcript until they show up as escalations and churn. This talk will explain how to supervise voice agents through conversational understanding, treating tone and emphasis as first-class signals so teams can catch and correct friction mid-conversation. It will also walk through how to translate agent-level errors into the financial metrics that make or break the ROI case for voice AI. If you're accountable for justifying the cost of voice agents at your company, this talk will give you a concrete framework for finding and fixing the value you're leaving on the table.
Voice agents are scaling fast, but most enterprises have no way to measure where they're quietly losing money to conversational blind spots: misread emotion, missed emphasis, and frustration signals buried in audio that never surface in a transcript until they show up as escalations and churn. This talk will explain how to supervise voice agents through conversational understanding, treating tone and emphasis as first-class signals so teams can catch and correct friction mid-conversation. It will also walk through how to translate agent-level errors into the financial metrics that make or break the ROI case for voice AI. If you're accountable for justifying the cost of voice agents at your company, this talk will give you a concrete framework for finding and fixing the value you're leaving on the table.
AI Transformation Tracks
Oversight: AI ROI
Speakers

Carter Huffman
CTOModulate