Higher education is entering the Agentic Era—where AI-powered assistants don’t just automate tasks but collaborate across systems to drive transformation at scale. This paper explores how multi-agent AI is redefining institutional operations, student engagement, and research workflows without requiring massive infrastructure overhauls.
With real-world examples from Wake Forest University, the University of Michigan, and others, this paper makes a clear case: now is the time for public colleges and universities to modernize their AI strategies. You'll discover how a "Find, Understand, Act" approach can improve efficiency across silos, enable better decision-making, and deliver responsive student services—all while addressing integration, governance, and adoption challenges head-on.
Whether you're evaluating your next data architecture move or preparing your institution for generative AI, this guide offers a timely, practical roadmap to help you lead with intention—and with results.
