Case Study · BPO & Contact Centre
Scaling Contact Centre Operations to 4x Capacity Without Adding Headcount
AI Resolution Rate
73%
Cost Reduction
40%
Languages
8+
Overview
BPO operators and enterprise contact centres using CallAgent handle 70%+ of contact volume autonomously across multiple languages. Operating costs have fallen 30-40% while customer satisfaction has improved — faster resolution on routine contacts outweighs any preference for human agents.
The Challenge
Contact centre operations face a structural tension: unpredictable volume, quality requiring experienced agents, and constant cost pressure. Previous chatbot automation achieved low resolution rates and damaged satisfaction without meaningful cost reduction. The problem was automation quality, not automation in principle.
The CallAgent Approach
CallAgent trains on the operation's actual interaction history — specific contact types, resolution paths, escalation triggers, and compliance requirements. Engineers analyse 90 days of historical interactions before any model is trained. Deployment is phased, with automation coverage expanding as accuracy is validated market by market.
Results
73% first-contact resolution rate for automated contacts — well above the 25-30% typical of rules-based systems. Operating costs down 30-40%. Customer satisfaction improved, driven by faster resolution on routine contacts and higher-quality handling of complex escalations by agents no longer under volume pressure.