WhatsApp for education and admissions
Admissions are a sales pipeline, and Zapelite treats them like one. AI answers programme and fee questions from your documents, counsellors receive scored leads, and fee reminders carry payment links.
Why education ends up on WhatsApp
An admissions enquiry is a lead with a deadline. Prospective parents and students ask the same questions — programmes, fees, deadlines, documents — and they ask them of several institutions at once. The institution that answers completely and quickly is disproportionately likely to receive the application.
Most admissions offices are overwhelmed at exactly the moment this matters. During intake season a small team fields hundreds of repetitive enquiries, and the genuinely high-intent parent waits behind twenty people asking for the fee structure.
Zapelite separates the two. AI answers programme, fee and deadline questions from your own documents, immediately and at any hour. Lead scoring identifies genuine intent and opens a deal for a counsellor, so human attention lands where it converts. Once enrolled, the same channel carries fee reminders with payment links, attendance alerts to parents and timetable distribution — the administrative traffic that otherwise consumes an office.
An admissions enquiry, worked
The goal is that a counsellor only ever speaks to someone worth speaking to.
- 1
Enquiry arrives, AI answers immediately
Programme details, fee structure, deadlines and document requirements are answered from a knowledge base built on your own prospectus and policy documents. This happens at 10pm on a Sunday as readily as on a Tuesday morning.
- 2
Intent scored as the conversation runs
Lead scoring weighs what the enquirer asks and answers — programme specificity, timeline, whether they request a document checklist. A general browser and a parent ready to apply are separated automatically.
- 3
Hot lead opens a deal for a counsellor
Qualified enquiries open a deal in the CRM pipeline and route to a counsellor with the conversation history attached, so the counsellor opens with context rather than with "how can I help".
- 4
Documents collected through flows
Application documents are gathered through a checklist flow with chase-up sequences for anything missing, instead of an email thread that stalls for a week.
- 5
After enrolment: fees, attendance, timetables
Termly fee reminders carry payment links with instant receipts. Attendance alerts fire to parents through the API. Timetables, assignments and exam schedules broadcast to class segments inside quiet-hours rules.
What teams actually run
Everything below ships in the product. See every feature or the integrations catalogue.
Enquiry pipeline
AI answers programme and deadline questions; scored leads open deals for counsellors.
Fee reminders
Due-date reminders with payment links and instant receipts.
Attendance alerts
Parents notified automatically via the API when a student is absent.
Content distribution
Timetables, assignments and study material broadcast to class segments.
Event broadcasts
Exam schedules, parent meetings and holiday notices, scheduled inside quiet hours.
Student support
Course FAQs handled by bots and AI; escalations open tickets for staff.
What changes
- Repetitive fee and programme questions stop consuming the admissions team during the season when their time is worth most.
- Counsellors spend their hours on scored, high-intent enquiries with full conversation history attached.
- Fee collection moves to a channel that gets read, with a payment link in the message.
- Parent communication — attendance, timetables, notices — runs on segments rather than on class WhatsApp groups nobody controls.
Build this first
Build the AI knowledge base first, before intake season rather than during it. Loading your prospectus, fee structure and deadlines takes an afternoon and immediately removes the most repetitive share of admissions traffic.
Lead scoring and the counsellor pipeline follow, once you can see from real conversations which questions signal genuine intent. Fee reminders and parent alerts come after enrolment is running, since they depend on your student information system.
Education, answered.
Yes. The knowledge base is built on your own documents — prospectus, fee structure, policy PDFs — so answers reflect your institution rather than a generic model. Anything it cannot answer hands off to a human.
Lead scoring weighs what the enquirer asks and answers, such as programme specificity and stated timeline. Qualified enquiries open a deal in the CRM pipeline and route to a counsellor with the full conversation attached.
Yes. Termly or due-date reminders go out as utility templates carrying a payment link through Stripe, Razorpay, PayTabs or Telr, with receipts returned to the thread.
Yes. Your student information system triggers the message through the REST API or the universal webhook connector, so alerts fire from the system of record rather than from a staff member with a phone.
For institutional communication, yes — groups have no delivery reporting, no consent record, no segmentation and no way to stop one parent replying to three hundred people. Broadcasts to class segments give you delivery data and control while still landing in WhatsApp.
Yes, and it usually should. Zapelite handles the conversation layer while your SIS stays the system of record; attendance alerts, fee reminders and results are triggered from it through the REST API or the universal webhook connector.
Other industries
Healthcare
Appointment booking, reminders that cut no-shows, result notifications and patient support with a consent trail.
Real Estate
Lead qualification, buyer/renter segmentation, viewing scheduling and deals opened straight from chat.
Travel & Visa Services
Document checklists with automatic chase-ups, application status updates, itineraries and balance collection.
See it running on your workflow
Book a demo and bring one real scenario from your operation. We will build it in the product rather than describe it on a slide.