Everest GroupSeptember 28, 2026
Navigating Voice AI Adoption: Bridging Enterprise Ambition and Architectural Readiness
Enterprises want voice AI that resolves the call end to end. Few have the architecture to run it. Everest Group surveyed 50 enterprise leaders on what separates a pilot from production.
The voice AI ambition-readiness gap
64% of enterprises expect voice AI in production within 18 months, but only 16% let it execute workflows today. Everest Group's research traces that gap to orchestration, integration, and governance rather than the model. A live call leaves no room to review or retry, so production readiness decides which deployments scale.
1M+
calls handled a year
90-95%
resolved end-to-end
<1%
of callers ask for a human
15+
languages live in production
Every enterprise's best performing employee
Simple and fast
Best in class UI that business users can leverage to generate 300+ page proposals 10x faster
Accurate
Integrate live data from company repositories that reflect the latest, most relevant information into your proposals.
Trusted
Masks all sensitive information before passing on to public LLMs. Ema is with leading security protocols like SOC 2 Type II, HIPAA, ISO 42001, ISO 27001, GDPR, NIST, and more
What you'll learn
Here's what to expect in the report:
- Benchmark your voice AI maturity against 50 enterprise peers
- Spot the architecture gaps that stall pilots before production
- Know what to test so a good demo doesn't pick your provider
- Match your evaluation criteria to your stage: pilot, limited, or scaled
