The student about to leave gets reached in time.
Risely's agents read all 4,200 records continuously, surface the few who need a person, and see each fix through tutoring, aid, and the registrar. An advisor approves every send, and the institution keeps every decision.
Agentic intelligence across the retention office
Risk Model
opens the case for an advisor
The case is open, the first conversation is drafted, and tutoring and aid are lined up behind it.
approved by an advisor
The agents that run the retention operation.
From the first score movement to the case that closes, Risely's agents work the whole caseload. Each drafts its next step for an advisor to approve, so no score and no nudge reaches a student without a person's yes. Open any agent to see it work end to end.
The office also runs Stop-out Re-engagement for the students who already left, and shares At-Risk Early Alert and SAP & Standing Guardian with Advising on the same record.
Retention is one office of the whole campus.
The student this office keeps is the same record that the enrollment, advising, and financial aid agents already work. One platform keeps every office on that record →
This is what changes, and here is how it runs.
The whole caseload gets read continuously.
Risely's agents score every record on every pass, and the quiet student surfaces while a fix is still cheap.
Every open case is carried to closed.
Owned steps across tutoring, aid, and the registrar land on one record, and an advisor approves every send.
More students stay enrolled through the next term.
A kept student is revenue with zero new acquisition cost.
The technical read
Connects read-only to the LMS and SIS to start
An advisor approves every send
Every action lands on an append-only log
Runs alongside the existing LMS and SIS. Nothing rips out.
See Risely's agents work a real caseload.
Bring last term's numbers, and an advisor holds every approval.