Voice Response Benchmark Report

The Latency Gap

Customers notice when AI voice systems pause, talk over them, or recover slowly after an interruption. This guide outlines the operating targets teams should watch before moving a voice worker into production.

Key Findings

• Engagement Threshold: Track end-to-end response timing, not just model latency.
• Sentiment Impact: Review interruption handling and recovery moments during QA.
• Conversion Signal: Compare appointment-setting and qualified-transfer outcomes before and after prompt or voice-runtime changes.

Technical Requirements

To achieve these benchmarks, teams must move beyond simple REST-based voice APIs to real-time AudioSocket and WebSocket streams that allow for sub-50ms processing.