Exception Management - An Agentic AI story

Managing meter data exceptions is one of the most time‑consuming and resource‑intensive parts of the billing process—and it’s only getting harder as data volumes grow. In this session, Itron introduces its first agentic AI capability, purpose‑built to transform exception management within meter data management (MDM). By combining proven MDM validation rules with autonomous AI agents, this new approach can detect, diagnose, and recommend—or even resolve—billing exceptions with minimal human intervention. Attendees will see how agentic AI shifts exception management from manual triage to intelligent automation, helping utilities improve billing accuracy, reduce operational burden, and scale without adding staff.

The session will show how AI‑driven exception management can reduce manual billing reviews while maintaining trust, accuracy, and auditability, and offer real‑world insight into how AI agents analyze meter reads, events, and contextual system data to pinpoint root causes and recommend next actions. Participants will also gain a practical view of how utilities can adopt this capability incrementally—starting with AI‑assisted recommendations and evolving toward greater automation—along with a forward‑looking perspective on the future of MDM, where intelligent agents continuously learn, adapt, and scale alongside growing data and operational demands.