Preparing workplace (and workplace data) for AI-driven decision making

AI is poised to transform how workplaces are planned, operated, and experienced — and the organizations that prepare now will have a decisive advantage. That preparation starts with data. Melissa Marsh examines the foundational work required to move from fragmented, inconsistently defined workplace inputs toward a clean, governed data environment capable of supporting AI-driven insight and action. She identifies the most common gaps organizations must close — misaligned definitions, siloed systems, ungoverned inputs — and delivers a practical roadmap for addressing them. She maps the cross-functional roles, governance structures, and ethical guardrails that turn scattered data into a dependable foundation for AI-enabled planning and operations, equipping organizations to act with confidence as AI becomes central to workplace decision making.