A new approach to student mental health support argues campuses should shift from reactive counseling-center models to earlier identification of disengagement. The piece highlights that 70% of college students report struggling with mental health after starting college, while only 37% seek help—leaving many at-risk students “invisible” to existing systems. It points to engagement data already held across student information systems, learning management systems, financial aid portals, and chatbot platforms. The proposal is to integrate these siloed signals—such as LMS drop-offs, missed advising, and stalled financial aid steps—so institutions can intervene weeks before grades or withdrawal forms change. The reporting emphasizes behavior-based indicators rather than demographic predictions, positioning AI as a tool to connect existing campus data streams into timely, actionable support workflows.