What Enterprise Voice Demands of Your Tool Stack
Glean, Friday, July 24th, 2026
Why enterprise voice AI succeeds or fails on the tool stack, not the model.
Glean argues that the bottleneck in enterprise voice systems is usually the tool stack rather than the underlying model. Voice imposes stricter demands than text chat because models have less reasoning headroom, tighter latency budgets, and fewer chances to recover from errors.
The piece recommends robust tool retrieval and ranking, providing complete tool contracts upfront instead of progressive disclosure, and establishing deterministic execution paths.
It concludes that voice simply exposes infrastructure problems that text-based systems can more easily hide.