Higher-education administrators are expanding use of AI across marketing, enrolment and executive planning while trying to limit data leakage and compliance risks, according to University Business reporting. Barry University officials described an institutional approach that pairs enterprise AI tools with governance: vet models, protect inputs and treat prompts like public records. Campus IT and provost offices recommend collaborative prompt review, enterprise-model contracts that control data retention, and central approval for AI deployments. The guidance aims to let nontechnical staff leverage AI insights without exposing student records or confidential strategy documents. Universities are establishing AI task forces, training programs and vendor-approval processes to balance productivity gains with FERPA, privacy and reputational risk. The takeaways are operational: AI can unlock administrative efficiency — but only if institutions standardize governance and auditing procedures first.