As artificial intelligence reshapes the research enterprise, the question facing institutional leaders is no longer whether to adopt AI, it’s where and how to invest for meaningful impact. As new tools and capabilities emerge at a rapid pace, research organizations must take a strategic approach to identifying AI initiatives that align with their mission, compliance obligations, and organizational capacity. This session equips attendees with a practical framework for building an AI strategic plan for research administration—one that balances innovation, governance, and institutional readiness. We’ll explore how to evaluate potential AI investments based on value, feasibility, and risk, and how to plan for implementation to ensure maximum adoption and long-term success. Grounded in principles of change management and strategic alignment, the session will also address how to engage stakeholders, communicate vision, and create a culture of responsible experimentation. Participants will leave with tools to move from scattered AI experiments to a coordinated institutional roadmap that drives efficiency, transparency, and transformation.
Content level: Intermediate
Learning Objectives:
- Apply a Strategic Framework to Evaluate AI Opportunities: Identify and prioritize potential AI initiatives in research administration using criteria such as mission alignment, ROI, compliance risk, and institutional feasibility.
- Assess Institutional Readiness and Governance Needs: Evaluate factors that influence an institution’s capacity to implement and sustain AI initiatives successfully.
Track: Professional Development and Leadership
Speaker(s): Kathleen Halley-Octa, Manager, Attain Partners, Theresa Couch, Director of Research Administration Operations, Michigan State University; Carolyn Sims, Georgia Institute of Technology