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AI Agent Decisions · The Power of Agentic AI Policy

Higher Education

What an agent could do

Find out why a student cannot register for a required course and propose a workable enrollment path.

The decision underneath

May it release a reserved seat or approve a prerequisite exception?

From idea to use case

01

Where most ideas start

"Use AI to improve the student experience."

✕ Too vague

Make it specific

02

A workable use case

We want an agent to identify why a student cannot register for a required course, check prerequisites, available seats, and timetable conflicts, and propose a workable enrollment path.

Measure it

03

How you'll know it works

If the agent really helps, these numbers should change. Measure them before it goes live, then again after:

Time to resolve registration issues; delayed enrollments; unused seats in required courses.

Then decide

04

The decision to make first

May it release a reserved seat or approve a prerequisite exception? Who sets priority when students compete for the last place?

Settle this before the agent goes live, not after.

Your turn

05

Now make it yours

Pick a business problem in your organization that is expensive, slow, risky or frustrating. Then work through these four questions, as in the workshop:

1

What business problem are we solving?

2

Who would sponsor this, and why?

3

What measurable business result should change?

4

What would make this difficult to scale here?

?

Quick test: task or decision?

Is this only a task you want AI to perform, or a business decision you want an agent to help make or execute?