AI Beyond the Classroom: Building Institutional Intelligence across the Administrative Ecosystem

Most AI conversations in higher education center on the classroom: chatbots for students, generative tools for faculty, adaptive learning platforms. But the administrative infrastructure that sustains every institution—enrollment, financial aid, accessibility services, program integrity, compliance reporting—operates in a parallel universe of fragmented systems, manual reconciliation, and episodic audit cycles that AI has barely touched. This session introduces a practical framework for deploying AI across the administrative ecosystem to enable continuous cross-system compliance intelligence. Drawing on real-world implementation experience across Student Information Systems (SIS), Learning Management Systems (LMS), CRM platforms, financial aid tools, and accessibility infrastructure, the presenter will demonstrate how institutions can align fragmented data environments, translate federal regulatory requirements into automated evidence obligations, and build audit-ready documentation workflows that no longer depend on spreadsheets and point-in-time reconciliation. Attendees will leave with a replicable framework architecture, a 90-day pilot design they can adapt immediately, and a clear-eyed view of the governance structures required to make AI-driven compliance both defensible and human-supervised.