College administrators are expanding enterprise AI tools beyond classrooms into recruiting, marketing and planning — and Barry University has rolled out a practical governance approach that other institutions are watching. Provost Pablo Ortiz and vice provost Bogdan Daraban emphasize approved enterprise models, staff training and collaborative reviewing of prompts and outputs to prevent data exposure and mission drift. The guidance stresses treating every prompt as a potential public record, favoring enterprise over public models, and integrating cross‑team verification of AI outputs. Council of Independent Colleges’ AI Ready Network and campus task forces are cited as frameworks for institution‑level governance. The article underlines specific operational controls rather than abstract policy statements. For technology and compliance teams on campus, the message is operational: embed AI use policies into onboarding, procurement and records management. Chief information officers should inventory AI vendor contracts, ensure enterprise model settings align with FERPA and institutional privacy rules, and set clear escalation paths for suspected data leakage or reputational risks.