June 28, 2025 · 8 min read
When EduFirst Schools came to us, their admissions team was managing hundreds of enquiries a month across spreadsheets and WhatsApp, with no way to know which leads were actually likely to enrol.
We rebuilt their admissions pipeline around three core ideas: unify every enquiry source into one record, score leads using enrollment-outcome data rather than guesswork, and automate the repetitive nudges that counsellors were doing by hand.
We trained a lightweight scoring model on 18 months of historical enquiry-to-enrolment data, weighting signals like response time, source channel and engagement with follow-up messages. Counsellors now see a live priority score next to every lead instead of working a flat list top-to-bottom.
The AI follow-up layer handles the first three touches for every new enquiry — a welcome message, a nudge if there's no response in 48 hours, and a re-engagement message for cold leads at the two-week mark. Counsellors step in once a lead responds, so every human conversation is a warm one.
Conversion rate improved 4.2x while the manual workload per counsellor dropped by 60%, freeing the team to focus on campus tours and parent conversations instead of data entry.
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