1️⃣ Identify the Problems You Want AI to Solve
Spot where staff answer the same admissions, scholarship, and housing questions, and where know-how lives with one person.

Your strength is the personal guidance students get and the knowledge your staff have built over years. The right AI builds on both. The wrong one gets in the way.
The challenge is real, with lean teams and a tech stack that includes legacy systems that have been in place a long time. And students that expect quick, personal answers about admissions, scholarships, financial aid, and housing.
Vendors may make it sound easy, but isn't. 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 clear target before you buy, so AI gives your staff more time with students.

Your staff may be trying to:
✔ Answer the same questions about admissions, financial aid, scholarships, and housing without losing the personal touch
✔ Catch students who are about to miss a deadline or stop engaging, before it's too late
✔ Coordinate support across student services, enrollment, and advising
✔ Keep the know-how of your most experienced staff from living only in their heads
Pin down the problem first. The playbook shows you how, before you sit through a single pitch.


Spot where staff answer the same admissions, scholarship, and housing questions, and where know-how lives with one person.
Start with the scholarship, financial aid, and enrollment conversations you already have on record.
Pick one measurable goal, like cutting response times to prospective students from 12 hours to two in one semester.
Choose tools that cut admin work without getting between staff and the students they know.
Test with students who move through scholarships, financial aid, orientation, and enrollment in different ways.
Make sure AI drafts sound like your institution and your staff before anyone relies on them.

HBCUs run on relationships. Students count on staff who know them, and staff count on years of hard-earned knowledge about scholarships, aid, and support. This playbook is built to protect both. It shows how to find the repetitive work that pulls staff away from students, how to get value from the conversations and records you already have, and how to spot students who need help before they miss a deadline. It also explains how to make sure AI reflects your institution's voice. The result is AI that gives your team better information and more time with students.


AI that strengthens the relationships your campus is known for.
✔ More time with students. Let AI field routine questions so staff can focus on real conversations.
✔ Earlier help. Spot students who need support before a missed deadline becomes a lost student.
✔ Know-how that stays. Share what your most experienced staff know across the whole team.
✔ A voice that's yours. Keep AI drafts true to your institution and your staff.
✔ Adoption across departments. Learn what works on your strongest teams and repeat it.


A six-step sourcing playbook for HBCU leaders choosing AI that strengthens student relationships and that staff will actually use.