AI Agents in Student Success

AI has spread across higher education staff in just a couple of years, often through a mix of approved tools and staff-led experimentation. That momentum is understandable. Generative AI and AI agents can help time-strapped teams reduce administrative work and respond more quickly to student needs. But without a strong foundation for implementation and use, AI risks becoming another disconnected layer to manage rather than a tool that improves student support.

Drawn from EAB’s experience deploying AI at hundreds of institutions, it walks leaders through how to evaluate AI agents through the lens of student data, staff capacity, and human-centered support. By the end, student success leaders will be prepared to make key AI decisions and design an implementation plan that fits their institution’s context, goals, teams, and students.

This playbook gives student success leaders a clear path from deciding what agents should do to strategically deploying them.

Download it today to learn how to:

• Recognize the ways informal AI experimentation is already shaping student support and creating risk
• Explore how AI agents can help teams identify student barriers, prioritize outreach, and preserve staff time for higher-value support.
• Set clear rules for when AI can act, when staff should step in, and how student data should be protected.
• Use EAB’s AI Readiness Assessment to see where your institution should focus first.
• Choose an early AI use case that is realistic for your team and meaningful for your students.
• Build your own implementation strategy that moves from early testing to broader use at a pace your teams, systems, and students can support