Paying Attention at Scale: Agentic AI for Campus Operations

Every campus has the same problem. Finance closes a month. Admissions processes thousands of applications. HR manages payroll. Somewhere in that cycle, someone stays late to reconcile data, chase down a missing document, or troubleshoot why a routine process broke. This session is about what happens when you let AI handle the routine watching and noticing. Agentic AI systems observe your campus data, flag patterns that matter, and automate decisions that don't need human judgment. They predict system failures before they happen. They process routine requests without manual intervention. They surface institutional risk buried in dashboards nobody reads. Not every workflow should be automated. Some decisions matter too much. But many don't. We'll walk through real examples of what works: predictive resource management, intelligent workflow automation, integrated monitoring. You'll build a framework for spotting opportunities in your own systems. You'll understand what vendors can actually deliver and what still requires human intelligence. Whether you run PeopleSoft, Workday, Colleague, or Banner, the principles are the same. AI handles observation and pattern-matching. Your teams handle strategy and judgment. That's the value. You'll leave with a practical roadmap for the next 12 to 24 months. Not a pivot to AI. A focused plan to automate what's repetitive so your staff can focus on what matters.