Enrolled
Where it breaks today
Aid, housing and grades live in different places. Pulling them together to see who is struggling is done by hand.
Agentic automation for universities
Students experience one university.Your systems should work like one.
UnifyApps connects the systems your campus already runs and puts AI agents on the work between them, from admissions to payroll to research administration. Your people keep every decision.
The student lifecycle
One student. Many handoffs.
A student's information passes through admissions, the student system, financial aid, housing, payroll and advancement. None of those systems is broken. The gaps are between them, and your people fill those gaps by hand. Pick a stage.
With a connected foundation
Advisors see aid, housing and academic signals in one place sooner. The person who knows the student decides what to do.
Where universities start
Start with one process. Reuse it everywhere.
Clear rules, a real queue and a number you already track. Choose an area to see what the agent does.
Live at Brown University
Funding Opportunity Announcement review
Every funding notice takes a staff member about an hour to read, check for eligibility and deadlines, and route.
What you measure
Minutes per notice reviewed
What the agent does
- 1
Reads the FOA PDF and pulls out the structured data
- 2
Checks it against your configurable checklist
- 3
Cites where each answer came from in the document
- 4
Routes it to the right person, who approves
What faster funding review frees up
Review times are based on Brown's results: about 60 minutes per notice before, 5 to 10 after. Enter your own volume and cost.
0
staff hours back each year
0
40 hour work weeks
$0
in staff time redirected
An estimate from your inputs, not a quote. In a pilot we measure against your own baseline.
Customer spotlight
Brown University
Brown's Office of Information Technology started where the rules were clear and the value was measurable: validation checks on contracts and requisitions, then Funding Opportunity Announcement review for research administration.
The agent pulls structured data from each FOA and checks it against a configurable checklist, with citations. Contracts now move through faster and with greater accuracy.
“Stakeholders aren't interacting with the solution, but they are benefiting from it.”
“This groundwork makes everything else possible.”
Another university customer
Nine areas. One pattern.
Another university customer is taking an assembly first approach to deliver AI in production at scale across the student lifecycle. Before choosing a tool, they asked the people who do the work where it breaks down. Nine areas answered, and the same pattern showed up in every one: information assembled by hand across systems that don't talk to each other.
They are starting with pay, from course assignment to payment, then extending the same foundation to student employment and the next priorities.
Enrollment
Student data passing from admissions to later systems
Marketing
Content and analytics spread across tools
Student Life
Retention signals across aid, housing and academics
Finance
Donation to cash reconciliation and exceptions
Advancement
Connected donor intelligence
Academic Operations
Catalog review and calendar validation
Risk and Compliance
Eligibility and training compliance
Athletics
Scheduling and administrative load
HR and Payroll
Adjunct pay and obligation tracking
Nine offices, one root cause: information assembled by hand between systems.
The choice
AI is arriving in every office. The question is how.
Broad AI access
Easy to buy. Risks low use and unused licenses.
One tool at a time
Workable, but slow. Each office rebuilds the same connections and rules.
One shared foundation
Built once. Governed once. Reused across the university.
What stays true with a shared foundation
Your people decide
Eligibility, curriculum, accounting conclusions and compliance rulings stay with your staff. Agents do the assembling.
Your systems stay
Admissions, student, aid, HR and payroll, and advancement systems keep doing their jobs. We connect them.
You stay in control
You own your data and can switch the underlying AI model without rebuilding. Every agent action is logged.
How we start
Pick one process
Clear rules, a real queue, and a number your office already reports on.
Prove it in 90 days
You set the baseline. A person approves every step. We measure against your numbers.
Reuse it for the next one
Connections and controls are built once, so the next process costs a fraction of the first.
Proven beyond campus too: a major health insurer cut claim intake 50 to 70%, and a global IT services provider delivers integrations 4 times faster. More customer stories
Pick one process.I'll map it to a 90-day result.
20 minutes, no slides. Bring the queue that hurts most.
Adam Karashik, Director of Business Development, UnifyApps
