By the numbers.
Defensible 2026 voice AI benchmarks — gross and net — aggregated across enterprise deployments and published case studies. Vendor-neutral, finance-grade, and explicit about caveats.
- 01Containment by intentVoice AI containment by intent — 2026 enterprise benchmark
Defensibly measured voice AI containment clusters in three bands by intent. The gap between vendor-headline gross figures and finance-grade net figures is consistently 15 to 30 percentage points.
- 02Latency by stackVoice AI latency by stack configuration — 2026 benchmark
Production-grade 2026 voice AI stacks land between 600 ms and 1800 ms end-to-end turn-taking latency. Integration calls on the critical path are usually the largest contributor — not the model.
- 03Deflection gross vs netDeflection gross vs net — 2026 enterprise benchmark
Across deflection channels, net rates measured on a 7-day re-contact window run 20 to 40 percentage points below gross. The gap is largest on emotional or multi-step intents and smallest on clean transactional ones.