Multi-Agent Orchestration for Customer Support

Circles replaced reactive, menu-driven support with 'CareX,' a proprietary multi-agent architecture. The system uses an orchestration agent to analyze customer context—combining account history, real-time app activity, and billing data—before routing the request to specialized agents focused on specific domains like subscriptions or network management. This architecture allows the system to resolve 65% of customer interactions autonomously. When complex issues arise, the system seamlessly escalates to human agents, providing them with the full context of the conversation to minimize customer friction.

Driving Revenue through Hyper-Personalization

Beyond support, Circles deployed 'Xplore IQ,' an AI-driven engine that leverages real-time signals to deliver proactive customer engagement. By moving away from broad marketing campaigns to hyper-personalized recommendations, the company achieved a 22% increase in Average Revenue Per User (ARPU) and a 9% reduction in churn. The engine identifies the optimal 'next best action' for a customer, such as suggesting a roaming pack or a plan upgrade, at the exact moment the user is most likely to convert.

Operational Governance and Engineering Velocity

To maintain security and operational integrity, Circles implements strict data governance: personally identifiable information (PII) is encrypted before reaching the model layer, and specialist agents are granted scoped access rather than full profile visibility. Internally, the company increased development efficiency by 29% by integrating AI coding assistants (Codex) into their workflows for design, unit testing, and coding tasks. This allows engineering teams to focus on high-level product innovation while maintaining human-in-the-loop validation for all AI-generated code.