Measured deflection. Verified by ops teams.
Three contact centers across distinct verticals. Each one running Chit Chat Agent inside their existing telephony stack. Each one tracking the same metric: routine volume handled without a human.
54% of inbound volume deflected
48% fewer scheduling calls to agents
61% of billing calls resolved without transfer
A regional bank automated account balance, transaction history, and password reset calls. Handle time on routed calls dropped by 31% within 60 days of go-live.
A multi-site health system routed appointment scheduling and prescription status inquiries to a voicebot. Transfer rate fell to 19% with no changes to the existing phone infrastructure.
A mid-size utility automated outage status, billing inquiries, and payment confirmations. Average queue wait dropped by 4.2 minutes across all inbound lines.
Every deployment in these studies ran on the client's existing telephony stack and CRM. No platform migrations. No parallel infrastructure. The bot slots into the inbound call path and starts logging resolution data from day one.
Deployed inside what you already own
Supported environments span Genesys, Avaya, Cisco, and major cloud contact center platforms. CRM connectors cover Salesforce, ServiceNow, and custom APIs.
Your volume patterns probably look familiar.
If your inbound mix is weighted toward account lookups, billing questions, or appointment requests, the deflection math works in your favor. Let's run the numbers against your actual call data.