Performance comparison
VERN OS vs. industry benchmarks
Enterprise conversational AI · N=4,773 production conversations
VERN OS
Industry leaders
Industry average
Un-orchestrated baseline
Task completion / containment rate
VERN OS
74–88%
Industry leaders
70–90%
Industry average (RAG chatbots)
40–65%
Un-orchestrated baseline
23–28%
Graceful exit rate
VERN OS
88.5%
Un-orchestrated baseline
28.2%
Key outcomes — VERN OS production data
0
Conversational drift instances
0
Character breaks across all sessions
+0.28
Avg. sentiment lift (customer-facing)
100%
Behavioral success in simulation profiles
Where VERN OS has no industry equivalent
Real-time emotional trajectory steering — both positive and negative states
No benchmark exists
Persona integrity across full conversations — not just prompt-level classification
No benchmark exists
Single AI Human replaces 3–8 agent committee in agentic architectures
No benchmark exists
Sources: Gartner 2025 RAG chatbot containment benchmarks · Salesforce State of Service 2025 · Guardrails Index 2025 · VERN OS production audit N=4,773 · Fisher's exact p = 8.00e‑103 vs. un-orchestrated baseline

[…] Read the full study → 88.5%Graceful Exit Ratevs. 28.2% unorchestrated · p = 8.0×10⁻¹⁰³ 74–88%Task Completion RangeIndustry leaders: 70–90% 0Drift IncidentsNo industry benchmark exists for this +0.28Avg Sentiment LiftAcross all task sessions Graceful Exit Rate — VERN vs. IndustryTask and customer service contexts · Sources: Gartner 2025, Salesforce State of Service 2025, Guardrails AI Index 2025 […]