A new best-practices framework urges admissions offices to clarify how AI fits with institutional goals before deploying it. The guidance emphasizes that using AI in admissions should be tied to explicit admissions purposes and tested for alignment with fairness and student outcomes rather than adopting tools for their own sake. For institutions moving from pilot analytics to production systems, the framework signals an accountability shift: admissions AI decisions should be documented in ways that support internal review and external scrutiny, especially as AI vendors expand capabilities. The announcement arrives as many campuses continue experimenting with AI for recruitment, assessment support, and application review—areas where errors and policy mismatches can affect access and compliance.