About This Session
As telecom services become increasingly real-time, digital, and partner-driven, traditional billing and revenue management systems are struggling to keep pace with the growing complexity of service delivery. By embedding Agentic AI across billing and payment ecosystems and integrating it with CRM platforms, telecom operators can transition from investigation-heavy customer support to AI-assisted first-call resolution, reducing Average Handling Time (AHT) by up to 50% while improving customer trust and revenue accuracy. Agentic AI enables a shift from reactive, manual revenue operations to intelligent, self-optimizing revenue platforms where autonomous agents continuously analyze network usage patterns, customer behavior, and financial signals. This capability allows telecom providers to proactively detect revenue leakage, optimize pricing strategies, and resolve billing issues before they impact customers. Through practical insights and real-world scenarios, this work illustrates how AI agents can collaboratively operate across charging, invoicing, revenue assurance, and customer support functions in near real time. It also outlines a strategic roadmap for modernizing legacy billing infrastructures while ensuring strong governance, transparency, and responsible AI adoption at scale.