AI for the whole campus. Front desk to final exam.

Enrolment cliffs meet flat headcount.

Higher education handles more applications, more transfer credit, and more student contact with the same staff it had a decade ago. The fastest-growing work is the most mechanical: reading a file against a published rule and recording the decision.

The back office, four workflows deep.

• Admissions document review. The agent reads the file, extracts what the rubric asks for, flags anything missing, and drafts a recommendation with its reasoning attached. A human makes every admit decision. The agent removes the reading, not the judgment.
• Transcript and credential evaluation. Course descriptions matched against your catalogue and prior equivalency decisions, with confidence scored and anything ambiguous routed to a human evaluator rather than guessed.
• Financial-aid and enrolment verification. Documents checked against the requirement list, discrepancies surfaced with the source page cited, and a complete audit trail written as it goes.
• Student-services triage. Inbound questions answered from your published policy with a citation, and anything outside policy handed to a person with the context already gathered.

A tutor for every student. Every night of term.

The same agents that clear the back office can teach. Each one is built on your material — your syllabus, your reading list, your past papers — so it answers in your department’s voice rather than the internet’s.

• AI tutors, one per course. Grounded in that course’s own material, so the explanation matches how the subject is actually taught. It works a problem through step by step rather than handing over an answer.
• Mock exams on demand. Practice papers generated from past papers and the syllabus, marked instantly, with the working shown on every question a student gets wrong.
• Grading and course load. First-pass marking against the rubric, with the reasoning attached. Faculty review and adjust rather than starting from a blank page. Every final mark stays a human decision.
• Help at 2am. The tutor is available every hour of term, which is when most studying happens and when no office is open. Anything it cannot answer is routed to a person with the context already gathered.
• Search that knows the student. One search across the university’s own pages, filtered to their department, degree, and course — with a citation on every answer. This is Rockets AI, live today at the University of Toledo.

FERPA, accreditation, and the audit.

• Student records are protected data. We deploy in your environment, with least-privilege access, full logging, and a data processing agreement in place before any record is touched.
• Every decision is explainable. Accreditors and auditors ask why a decision was made. Each agent action records the input, the rule applied, the output, and who reviewed it.
• Human sign-off where it matters. Admission, aid, and academic-standing decisions keep a human in the loop by design. The agent prepares; a person decides.
• Academic integrity is a setting, not an afterthought. Tutors are configured per course to teach rather than to complete: work the method, withhold final answers on assessed work, and log every session so faculty can see how the cohort is actually using it.
• Accuracy is measured before go-live. We build an evaluation set from your real, historical files and hold the agent to an agreed accuracy bar running alongside your team before it touches anything live.