Future of Agentic AI in Telecom Billing and Revenue Management
Telecom billing gets messy as services become real-time and partner-driven. This capability allows telecom providers to proactively detect revenue leakage, optimize pricing strategies, and resolve billing issues before they impact customers. Balu Chavan uses "Future of Agentic AI in Telecom Billing and Revenue Management" to connect the warning signs to the underlying mechanics, showing how agentic AI can improve support, revenue accuracy, and leakage detection.
Session details
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.
Primary action
Share the public session page with the tracked partner link, then use the copy variants below for LinkedIn, short social posts, and newsletter or email mentions.
Agenda facts
- Format
- Talk / Presentation
- Kind
- Conference Session
- Topic
- Artificial Intelligence and Machine Learning
- Level
- Intermediate
- Time
- Oct 29, 2026, 3:45 PM
- Room
- Room F
- Duration
- 60 min
Speakers
Link partners to speaker kits when available, or to the public speaker profile on mitechcon.net.
Balu Chavan
Copy to paste
LinkedIn, short social, and newsletter or email copy variants for this session.
LinkedIn
Session LinkedIn Post
Telecom billing gets messy as services become real-time and partner-driven. This capability allows telecom providers to proactively detect revenue leakage, optimize pricing strategies, and resolve billing issues before they impact customers. Balu Chavan uses "Future of Agentic AI in Telecom Billing and Revenue Management" to connect the warning signs to the underlying mechanics, showing how agentic AI can improve support, revenue accuracy, and leakage detection. 📅 October 28–30, 2026 📍 Oakland University, Rochester, MI 🔗 https://www.mitechcon.net/sessions/future-of-agentic-ai-in-telecom-billing-and-revenue-management/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-future-of-agentic-ai-in-telecom-billing-and-revenue-management #MITechCon #AIAgents #Telecom #RevenueManagement
Short social
Short Session Post
Telecom billing gets messy as services become real-time and partner-driven. Learn how agentic AI can improve support, revenue accuracy, and leakage detection. https://www.mitechcon.net/sessions/future-of-agentic-ai-in-telecom-billing-and-revenue-management/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-future-of-agentic-ai-in-telecom-billing-and-revenue-management #MITechCon #AIAgents
Newsletter / email
Newsletter Or Email Blurb
Feature this MITechCon 2026 session in your newsletter or email: "Future of Agentic AI in Telecom Billing and Revenue Management". Telecom billing gets messy as services become real-time and partner-driven. This capability allows telecom providers to proactively detect revenue leakage, optimize pricing strategies, and resolve billing issues before they impact customers. Balu Chavan uses "Future of Agentic AI in Telecom Billing and Revenue Management" to connect the warning signs to the underlying mechanics, showing how agentic AI can improve support, revenue accuracy, and leakage detection. Format: Conference Session. Topic: Artificial Intelligence and Machine Learning. Level: Intermediate. Scheduled for Oct 29, 2026, 3:45 PM in Room F. Learn more and share the session: https://www.mitechcon.net/sessions/future-of-agentic-ai-in-telecom-billing-and-revenue-management/?utm_source=partner-kit&utm_medium=partner&utm_campaign=mitechcon-2026&utm_content=session-future-of-agentic-ai-in-telecom-billing-and-revenue-management