AI Change Management for Universities

Quick Take / Direct Answer

University AI adoption fails most often for human reasons, not technical ones. The five change management practices that determine whether staff actually use an AI system: executive sponsorship visible to staff (the CIO and a senior academic must publicly endorse the system), phased rollout starting with volunteer early adopters, clear communication of what the AI does and does not do, visible feedback mechanism for staff to report errors or limitations, and quick-win demonstration within the first two weeks of deployment.