As interest in AI adoption expands in research administration, many institutions struggle to move from experimentation and ideas to operational solutions. Successfully deploying AI in this context requires more than a subscription or a prototype. It depends on understanding how AI functions, how it interacts with institutional data, and how that capability aligns with research administration workflows.

This session at the NCURA 4th AI Symposium focuses on the practical realities of deploying AI in research administration, walking through key phases from early planning and process mapping to implementation, refinement, and operational use. Attendees will learn what to consider and what questions to ask before implementing AI, how to assess readiness across teams, and how AI capabilities can be translated into usable research administration workflows.