Monday, October 26, 2026
11:00 am – 12:30 pm ET

Putting AI Agents to Work in Student Affairs

Many higher education professionals have experimented with generative AI but still find themselves asking, “Now what?”. The real opportunity isn’t simply getting better at prompting. It’s learning how to move from one-off AI interactions to responsibly delegating predictable, repeatable work to AI while keeping human judgment in control.

Join us on October 26, 2026 for this platform-independent online training with a national thought-leader, presenter and AI trainer on the practical integration of artificial intelligence into student affairs. You’ll learn how to identify administrative tasks that may be appropriate for AI assistance, establish boundaries and safeguards, build meaningful human checkpoints, and turn successful experiments into repeatable workflows. Automate the predictable so you can protect more time for what AI can’t replace: empathy, judgment, relationships, accountability, and meaningful work with students.

Through demonstrations, polls, and hands-on activities, you’ll explore how emerging AI agent capabilities can support real-world student affairs work, while also addressing critical questions around privacy, accuracy, permissions, institutional policy and professional accountability.

Topics Covered

Gain tools and strategies to help you:

• Distinguish an AI agent from a conventional chatbot and explain why that difference matters for administrative work.
• Define and delegate an appropriate multistep task while retaining human responsibility for direction, review and final decisions.
• Design supervised workflows that combine AI efficiency with human oversight and accountability.
• Evaluate platforms using transferable criteria such as reasoning, document handling, integrations, permissions, auditability, privacy and institutional support.
• Sort recurring responsibilities into green-light, yellow-light, and red-light work based on predictability, sensitivity, verification needs and the need for human judgement.
• Build explicit human safeguards and checkpoints into workflows to protect FERPA, privacy, accuracy, professional judgment, and institutional accountability.
• Document roles, inputs, instructions, checkpoints, and expected outputs so effective experiments can become repeatable team practices. 
  

Presenter

Peter Trentacoste is the Executive Director of Residential Life at Louisiana State University, where he leads one of the nation’s largest comprehensive residential life operations, serving nearly 9,000 students across 22 residence halls and three apartment communities. He manages a $90 million budget and oversees more than 800 full-time and student staff.
Click here for full bio.