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 across high-impact areas including ticket triage, billing remediation, proactive network diagnostics, and natural-language BI.
This foundation expanded into a governed, enterprise-scale Agentic AI architecture that supports cross-BU interoperability and ongoing reuse through a centralized Agentic Marketplace. With 32+ reusable AI assets, improved prediction accuracy, and multi-agent workflows embedded across AI&D, VCG, VBG, and NS, the provider delivered measurable improvement in churn (8 bps), offer acceptance (up 20%), and retention efficiency (down ~15% in cost), collectively influencing approximately $1B in 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.
