1️⃣ Identify the Problems You Want AI to Solve
Audit across enrollment, marketing, and the academic colleges to see where recruitment and reporting break down.
How to Buy AI:
A Sourcing Playbook for Public Universities
Your university needs AI that works across colleges, departments, and dozens of systems. That makes buying it harder than it looks. This six-step playbook shows you how to define the problem, check readiness, and set a measurable target before you sign anything.
95% of AI Pilots Stall. Most Never Make It Past One Department.
Public universities rarely lack an AI vision. What trips them up is buying for an institution that runs multiple colleges and departments at once.
Recruitment happens in enrollment, marketing, and each academic college, often with separate campaigns and reports. Student data lives in dozens of systems. A new tool has to connect to your CRM, SIS, and LMS. It has to pass security and governance review. And it still has to work for colleges that do things their own way.
Get that wrong and the pilot stalls. One MIT study found 95% of enterprise generative AI pilots stall before they deliver measurable results (MIT NANDA, 2025).
This playbook shows you how to set a baseline and a target first, so the AI you buy works across your whole university.
Start With the Problem Your Colleges Share
Your colleges and departments may be trying to:
✔ Connect recruitment across enrollment, marketing, and academic colleges
✔ Give staff one trusted view of data spread across dozens of systems
✔ Get leadership real-time insight instead of reports that arrive too late
✔ Stop losing time to work only one person or one department knows how to do
The playbook shows you how to turn problems like these into a clear brief for vendors.
What's Inside the Public University Playbook
Six steps for leaders buying AI across many colleges, departments, and systems. Each step uses examples drawn from how public universities actually operate.
2️⃣ Assess AI Readiness and Pick a Starting Point
Find where your data already connects. Then start by joining recruitment data that each college reports differently.
3️⃣ Define Success for Your AI Solution
Set targets leaders care about, like cutting enrollment reporting from five business days to one.
4️⃣ Find the Right AI Tools
Decide between embedded tools and institution-wide infrastructure based on your technical resources and governance.
5️⃣ Design the Perfect Pilot Using Imperfect Conditions
Test across more than one college, with contact lists and processes that don't match.
6️⃣ Buy for Adoption, Not Optics
Watch adoption college by college, and set shared standards while letting each unit adapt.
A Closer Look at the Public University Playbook
A public university is many organizations under one name. Each college runs its own campaigns. Each department keeps its own data. Leaders still need one view of enrollment and student success. This playbook is built for that tension. It shows how to audit problems across units, connect the data you already have, and choose between embedded tools and institution-wide infrastructure. It also covers how to test a vendor by asking what's left if you take the AI out, and how to pilot across more than one college. The goal is a shared foundation that still lets each unit work its own way.
What a Shared Plan Delivers Across Your University
AI that helps colleges and departments pull in the same direction.
✔ Common ground across colleges. Build one foundation that still lets each college run its own way.
✔ Faster reporting for leaders. Get enrollment and student success insight in a day, not a week.
✔ Clearer recruitment results. Connect campaigns to enrollment so you know what works.
✔ Fewer surprises after you sign. Pilot across colleges on real data before you commit budget.
✔ Adoption you can see. Track usage by college and copy what your strongest teams do.
How to Buy AI: A Sourcing Playbook for Public Universities
A six-step sourcing playbook for public university leaders choosing AI that works across colleges, departments, and systems.