Why getting AI‑ready is now critical Electric and water utilities are entering an era of higher demand, aging infrastructure, workforce constraints, extreme weather, and rising expectations from regulators and customers. Deloitte’s latest industry outlook notes mounting reliability pressure as utilities race to deliver firm capacity while modernizing grids and balancing affordability—conditions that make smarter operations and faster decisions indispensable. At the same time, leaders are recognizing that AI will only deliver its full value when built on a foundation of trusted data and governance. Accenture’s Technology Vision Utilities research finds that “74% of utility executives believe that AI’s full potential can only be realized when it is built on a foundation of trust.” For utilities—where safety, compliance, and service continuity are non‑negotiable—being “AI‑ready” isn’t a buzzword; it’s a critical corporate strategy. How to get AI‑ready: Build data trust across the full information lifecycle for utilities A practical approach to becoming AI-ready starts with a trusted data foundation: Unify, govern, and activate enterprise information so AI operates with context, auditability, and confidence. This framework spans five capabilities—discover, derive insights, manage, protect, monitor—that utilities can apply across assets, operations, customer service, and compliance. DiscoverSurface and connect the data hiding in silos—engineering files, asset histories, SCADA logs, work orders, permits, and customer records—so it’s accessible and searchable. Discovery establishes lineage and metadata so teams know what information exists and where it came from. Derive insightsTurn raw content into intelligence with analytics and AI to spot patterns (leaks, outages, transformer stress), predict failures, and optimize crews. OpenText’s data discovery and analytics tools are designed to handle petabyte‑scale information and create auditable, explainable outputs that operations can trust. ManageGovern content and data across lifecycles—from engineering drawings to maintenance records, supply chain information, and financial controls—to ensure the right context, access controls, retention, and interoperability. Unifying