From Agents to Agency: A Maturity Model for Agentic AI in EDU

Today’s personal agents can eliminate administrative burden and free educators to focus on academic progress. But the real breakthroughs come when agents can work autonomously — and together — across tools, systems, and even institutions. These multi‑agent, multi‑model scenarios bring us closer to an oft‑envisioned “GPS for Lifelong Learning,” where learners receive clear pathways and guidance toward their ambitions.

That promise also raises real concerns: Should we trust agents to act autonomously? Can we trust any agent across open networks? How do we constrain capability, manage identity and data, and ensure human judgment prevails when it matters most?

This session will demonstrate the power of agentic AI and introduce a practical maturity model for maintaining trust at three levels — individual, organization, and community — so EDU leaders can prioritize what’s next and adopt agents responsibly at scale.