Voice AI Operator for Call Center
On-prem voice AI operator handles 72% of calls without human in 0.96s with 58% cost reduction.
One-liner: 72% of calls without human, response 0.96s, −58% cost. On-prem and AI Act compliant.
Key metrics: Auto-resolve 72% • v2v p95 1.42s • Cost per call −58% • Annual savings: $420k
This is an English placeholder. Full translation coming soon.
FAQ
Why was this voice AI deployed on-prem instead of cloud-only?
The deployment needed tighter compliance and data-control boundaries, so on-prem architecture provided predictable governance and lower regulatory risk.
What drives the latency and cost improvements?
Streaming architecture, model orchestration, and controlled escalation paths reduce handoff overhead and keep response flow efficient under real call volume.
How is safety handled in production operations?
Safety rules, clear escalation to human operators, and monitored policy boundaries ensure automation remains reliable and auditable in customer-facing workflows.
