title: "How AI powers the intelligence layer for today’s era of energy & utilities"

Energy and utility companies face a "demand supercycle," aging infrastructure, and decarbonization pressures, creating significant operational complexity. An AI work platform can serve as an intelligence layer by unifying siloed data from various enterprise systems like ERPs, CRMs, and operational databases. By connecting this data, generative AI provides comprehensive answers and automates workflows to improve efficiency across the organization. Key use cases include empowering field service technicians with instant access to technical documents, enhancing customer support, and accelerating engineering project timelines.