A leading U.S. telecom provider partnered with Brillio to reinvent how churn is predicted, understood, and acted upon across the enterprise. With churn driven by complex customer, network, and value-based factors – and more than 13 initiatives already underway the provider needed a unified, multi-agent AI strategy capable of aligning data science, network operations, customer service, and business teams. Brillio introduced a Causation Intelligence Engine to reveal the true drivers of churn and deployed Agentic AI pods to operationalize insight-to-action workflows in multiple streams like ticket triaging and network analysis.
This foundation expanded into a governed, enterprise-scale Agentic AI architecture that supports cross-BU interoperability on the customer’s platform. With over a dozen reusable AI assets, improved prediction accuracy, and multi-agent workflows embedded across consumer, business, and network segments, the telecom provider achieved measurable improvement in churn (8 BPS), 20% improved offer acceptance, and improved retention efficiency (15% reduction in cost), collectively influencing their revenue. A purpose-built enablement engine ensured talent across the organization could scale these capabilities sustainably through telecom, AI, and tech training pathways.
Read the full case study to discover how Brillio builds multi-agent AI ecosystems that elevate retention and unlock cross-enterprise value.
