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Example engagement · Education & EdTech

AI Admissions Assistant for a College Network

An assistant on the website, WhatsApp and email that answers program, fee and deadline questions from approved content, and nudges applicants to finish incomplete applications.

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2 days → 1 min
Response time during intake
+14%
Applications completed
60%
Questions answered without staff
Profile — College network, 20 campuses, about 15,000 applicants per intakeTimeline — 6 weeks before the next intakeTeam — 3 engineers + 1 admissions lead
Representative engagement: a composite of the AI work we deliver in this industry, not a named client's project. Figures are the outcomes this kind of build typically delivers, and they are the targets we agree and measure in a pilot before scaling.
The problem

Admissions staff were overwhelmed during intake: messages waited days for a reply, and many applicants abandoned forms with one missing document.

What we build

The approach.

  • 01Built the answer base from approved program, fee and policy content only.
  • 02Deployed on the website chat, WhatsApp and email.
  • 03Connected to the student information system to see which documents were missing.
  • 04Sent personalised reminders and handed complex cases to counsellors.
Where the AI works

Claude answers in the applicant's language from approved content, checks application status and decides when a counsellor should take over.

Claude APITypeScriptWhatsApp Business APISIS APIPostgres + pgvector
Proof, not promises

How we measure it.

Response time comes from the messaging platforms. Completion rate is compared with the previous intake. Self-service rate counts conversations closed without a counsellor.

Questions

Before you ask.

No. Beyond Technologies limits it to information and reminders. Decisions stay with the admissions team.

Yes. The assistant replies in the applicant's language, using the same approved content.

Next step

Want this measured on your own data? Start with a pilot.

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AI for Education & EdTech →AI Agents →AI Integration →Next example: AI Assessment Feedback for an Online Learning Provider →Named client case studies →

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