Start with one workflow: mapping Financial Aid before adding AI
Before an assistant touches a single ISIR, map the work: the steps, the systems, the rules, the exceptions and the people who decide.
The fastest way to waste an AI budget in a Financial Aid office is to start with the tool. The fastest way to get value is to start with one workflow and understand it completely.
Pick a workflow with a clear edge
Good first candidates have a defined start and finish, repeat often, and frustrate the staff who run them:
- ISIR exceptions. Records that land in suspense, fail to match or need follow-up.
- Verification follow-up. Tracking missing documents and explaining to students what is still needed.
- SAP appeals. Assembling appeal packets so the committee can review them consistently.
- COD rejects. Finding and fixing reporting mismatches before they pile up.
Map five things
For the workflow you choose, write down:
- Steps. What actually happens, including the workarounds nobody documented.
- Systems. Which screens, queries, reports and spreadsheets each step touches.
- Rules. Which federal, state and institutional requirements apply, with the source for each.
- Exceptions. The cases that break the normal path, and how often they happen.
- Decisions. Where a trained person must decide, and who that is.
That map is worth having even if you never add AI. It usually shows friction that a process change can remove for free.
Then decide what AI should do
With the map in hand, every step falls into one of three groups:
- Automate. Low-risk, rule-based work with an easy check, such as drafting a reminder or summarizing an exception list.
- Assist. AI prepares and a person decides, for example by organizing an appeal packet or explaining a missing document.
- Leave alone. Eligibility determinations, professional judgment and anything regulation reserves for staff.
Before anything is built, confirm what data the tool may see under FERPA, GLBA and your institution's AI policy. Use only approved services, or models deployed privately.
Measure from day one
Record a baseline before the pilot: time per case, backlog size, error rate or student response time. Without one, nobody can say whether the pilot worked.
If you'd like help mapping your first workflow, email us.