Private university
Admissions automation for a private university.
A production deployment — running, not a pilot. The operator is anonymized at their request. Each pattern names the measure its deployment is read on; the figures themselves stay with the operator.
Last updated June 2026
The challenge
Admissions gets two kinds of question and only one of them needs a person. Through the registration peak, the transfer-credit file waits in the same queue as the fortieth question about fees.
What we built
A WhatsApp agent walks a prospective student to a faculty and a programme, then returns that programme's fees, instalment plan and required documents. The student's track and target programme are recorded from the first message rather than the first phone call.
How it operates
Faculty, fee and deadline questions are answered outside office hours instead of waiting for them. The admissions office opens to completed profiles rather than a list of calls to return.
The measure
The share of applicants whose profile is complete before the first human contact.
What happens next
Transfer credits, exceptional instalments and accreditation detail stay human decisions. The file reaches the officer with the questions already on it.
The operator is anonymized at their request. Each pattern names the measure its deployment is read on; the figures themselves stay with the operator.
Across every deployment
- 30+production deployments
- 35+AI agent personas
- 14+industries
Counted across every production deployment, in regulated and commercial sectors alike.