Colleges and universities are increasing enterprise AI use beyond classrooms into recruiting, admissions, marketing and executive planning, but administrators warn access carries data and compliance risks. Barry University and other institutions described governance frameworks that require central IT approval, enterprise contracts and staff training before tools are deployed. Provosts and CIOs say enterprise AI models with configurable data‑handling options are preferred to public, free chatbots that could expose sensitive institutional information. Stakeholders emphasize treating every prompt as a public record and using vetted vendors with clear retention and access policies. Campus leaders are also forming cross‑functional AI task forces that include legal counsel, IRB members, and records officers to evaluate risks for analytics, admissions scoring and student‑facing tools. The Council of Independent Colleges’ AI Ready Network and similar consortia are supplying playbooks for conservative rollout. The guidance is practical: institutions must balance the productivity gains of AI with legally mandated privacy, FERPA concerns and the institution’s mission—centralized procurement and audit trails are becoming standard practice.