Comms & Media
AWS
Voice AI Modernization
PRIMARY IMPACT
60M+
Calls a year on an AI-first contact centre
The Challenge

A legacy menu-based IVR system stood in front of a high-volume contact center. The customer would navigate through menus led by operators, hang up and dial back, adding calls to the volume of work even as the IVR system failed to provide effective self-service.

Approach

Replace navigation by menus with intent-based conversation. The customer just tells the system what he wants, and the AI solves the simple requests and transfers the rest along with the whole conversation context. Transfer quality became the key KPI since bad transfers cost more than calls that AI won’t handle.

Architechture

Integration into telephony before the legacy contact center platform, training of speech recognition and intent models on historic calls of the operator, CRM and billing context before every call, live agent assistance with transcripts and intent, analytics from both successful and failed calls.

Outcome
60M+ calls a year on an AI-first contact centre

An AI-first contact center handling 60+ million calls annually. High containment rate of simple requests without menus. Agents working only with complex, high-value requests with better context.

Want to be the next case study?
Every project starts with a conversation about the outcome you want to achieve.