AI Agent Use Cases for Energy and Utilities

This guide outlines the use cases for AI agents in the energy and utilities sector, addressing the challenges organizations face, such as aging assets, rising customer expectations, and complex regulations. AI agents function as digital teammates that enhance operational workflows by planning, acting, and improving in real time while adhering to regulatory standards. The document details a structured approach to implementing AI agents, starting with selecting a high-volume workflow and defining success metrics. It emphasizes the importance of governance and trust, ensuring that AI operates with transparency and control. Key use cases are categorized into customer operations, network operations, compliance, and capital projects, showcasing specific agents designed to improve service reliability, operational efficiency, and regulatory compliance. The guide concludes with a 30/60/90 day plan for piloting and scaling AI agent implementations, ensuring organizations can achieve measurable impacts safely and effectively.