Sector guide

AI for schools and nurseries: admissions and parent messages

How schools, tutoring centres and nurseries use AI for parent questions, visit bookings, applicant follow-up and announcements. Decisions stay with people.

8 min1,695 wordsAlparslan Ünal and Mert Can Gündoğdu

When people talk about AI in education they usually mean the classroom. This guide is about the work around it: admissions, parent communication and announcements. In private schools, tutoring and language centres, nurseries and pre-schools, AI is used for five jobs above all: first replies to questions on fees, transport and programmes during admissions, messages that arrive after hours, school visits and introductory meetings, applicant follow-up, and announcements. What is taught, how pupils are assessed and who is offered a place remain the school's decisions.

Admissions season is squeezed into a few weeks. Many parents ask similar questions in the same days: what the fees are, which areas the bus covers, whether lunch is provided, what a school day looks like. The office cannot keep up with the phone. A parent writes on Instagram or WhatsApp in the evening, the reply comes the next day, and by then the parent has written to other schools too.

Which school and nursery jobs can AI help with?

  1. First replies to parents: questions on fees, transport, meals, programmes and admission terms are answered from the school's own information.
  2. After-hours messages: messages that arrive in the evening or at the weekend get a first reply and land on the admissions lead's list for the morning.
  3. Visit bookings: parents choose a time for a school tour, an introductory meeting or a trial lesson themselves.
  4. Applicant follow-up: every application sits in one record, and the parents who need a call back are listed.
  5. Announcements and reminders: payment reminders, parents' evenings and event notices go to the right parents with approved templates.

How do parents get a first reply during admissions?

The setup starts by writing the school's information down once: the fee list, transport areas, meal arrangements, the daily timetable, age groups and classes, and admission terms. Each parent question is answered from that information. A question with no answer in it is never answered with a guess; the conversation passes to the admissions lead, and the parent is told clearly that they are writing to an assistant.

Fees are the most sensitive question. The reply always comes from the fee list the school has published, so when the list changes, the replies change the same day. Discounts and bursaries always stay with the admissions lead. We describe the setup on our request handling page.

What happens to a message that arrives after hours?

Parents often write outside office hours, after work or in the evening, when nobody at school is watching messages. In the setup, an evening message still gets a first reply: the requested information is sent and a few times are suggested for a school visit.

The conversation is recorded. In the morning, the admissions lead sees on one list who wrote overnight, what they asked and what was sent. A voice assistant can also answer the phone; callers are told they are speaking to an assistant, and booking requests are recorded. The WhatsApp side is covered on our WhatsApp automation page.

How are school visits and introductory meetings booked?

A school tour is often the last step before a parent decides. Today it is arranged over several messages and is sometimes forgotten. In the setup, a booking link is added to the school website, the Instagram profile, WhatsApp and the Google Business Profile, and parents choose a time themselves.

The calendar follows the school's rules: which days tours run, how many families fit in one slot, how many places a trial lesson has. A reminder goes out the day before with a cancellation link, and a cancelled slot opens again. Notes from the visit are added to the applicant's record. See our online booking and scheduling page for the detail.

How are applicants followed up?

During admissions, the parents a school has spoken to are often written in a notebook or a spreadsheet. When the same parent gets in touch on Instagram and by phone, two rows appear. A promised call back is forgotten, and the child goes to another school.

In the setup, every application sits in one record: the parent's name, the child's age group or year, the channel, the questions asked, the information sent, the visit date, the next step and who owns it. Each morning the admissions lead sees who needs a call back. At the end of admissions, the school sees how many enquiries turned into visits and places, and which channel brought the most parents.

Offering a place, putting a family on the waiting list and awarding a bursary are decisions for the school's leadership. The system keeps the record in order and sends reminders. See our CRM and customer management page for more.

How are announcements and payment reminders sent?

Payment reminders, parents' evenings, trip consent and event notices are still sent one message at a time in many schools. In the setup they go out with approved templates, and only to the parents of the class concerned.

WhatsApp's business rules matter here. A business may contact people only if they have given their number and agreed to receive messages, and it can start a conversation only with an approved message template. WhatsApp also recommends asking for separate permission for different kinds of messages. So a payment reminder and a promotion for next year do not share one consent; promotional messages go only to parents who agreed to them separately. We describe the setup on our WhatsApp Business integration page.

How is children's and parents' data protected?

Everything on an application form is personal data: the parent's name and phone number, the child's name, date of birth and year group. This section gives general information, and your own privacy notices and consent forms should be prepared with your legal adviser.

The privacy notice comes first. Under Article 13 of the GDPR, the school must tell parents, at the time the data is collected, who it is, why the data is used, who it may be shared with and what their rights are, among other things. In the setup, the notice is shown at the start of the chat and the form, and the fact that it was shown is recorded.

Health details are kept apart. Nursery and pre-school forms often ask about allergies, medication and long-term conditions. This is data concerning health, which Article 9 of the GDPR treats as a special category; Turkey's data protection law, the KVKK, does the same. In the setup, health details are never asked for in the chat. They are collected in a restricted section of the application form that the assistant cannot read.

A case from Turkey shows why this matters. In decision 2020/255, the Turkish data protection board examined a complaint that a school had given pupils a psychological assessment test without their parents' explicit consent; the results contained health data. The board found that the school had not taken the necessary administrative and technical measures and fined it 50,000 lira. The same decision noted that the school, as data controller, had to prove it had informed the parents.

Photos need their own consent. A child's photo or video is personal data too. Images used to promote the school need separate consent from the parent, and children whose parents did not agree are left out.

Where the data is processed is written down. If the AI service processes data on servers in another country, the rules on international transfers apply. Where the data will be processed is agreed before the build and stated in the privacy notice. An applicant parent's number is used only for admissions and communication, and is never added to a marketing list without permission.

Why do teaching and admission decisions stay with the school?

The system gives parents information, books visits and keeps records in order. It does not mark work, place a child in a class, award a bursary or decide whether an application is accepted. Those decisions belong to teachers, the school counsellor and the school's leadership.

There is a legal side to this as well. Article 22 of the GDPR gives people the right not to be subject to a decision based solely on automated processing that significantly affects them. The EU Artificial Intelligence Act lists AI systems used to decide admission to educational institutions, to evaluate learning outcomes and to detect prohibited behaviour during tests among high-risk systems. UNESCO's 2023 guidance on generative AI in education and research also calls for a human-centred approach.

The assistant does not answer pastoral questions either. A question about a child's development, a learning difficulty or health passes straight to the school counsellor or the admissions lead.

Where should AI not be used in a school?

  • Marking and assessment: teachers assess pupils; the system does not give marks.
  • Admissions and bursaries: places, waiting lists, discounts and bursaries are decided by the school's leadership.
  • Pastoral and health questions: they are not answered by the assistant and go to the right person.
  • Messages and photos without consent: promotional messages and children's photos are sent or shared only with parental consent.

Where should a school or tutoring centre start?

  1. Through one admissions season, count which channels questions come from and how many go unanswered.
  2. Write the fee list, transport areas, timetable and admission terms in one document.
  3. Set up first replies to parents and visit bookings first.
  4. At the end of the season, look at how many enquiries became visits and places, and choose the next job from there.

ALTAI Digital starts with a discovery of about a week, covering your admissions process, parent channels and school management software. We then prepare a demo, put your requirements in writing through a detailed form and build the real thing. First live use usually opens within 4-8 weeks, and your timeline is confirmed in writing after discovery. Measurement and reporting continue after go-live.

Every part joins one panel, so parent messages, bookings, applicant records and announcements can be followed on one screen. We describe the sector setup on our education solutions page and nursery websites on our nursery website page.

Glossary

Key concepts

The terms used in this article, with short definitions.

Privacy notice
The information given when personal data is collected: who the controller is, why the data is used, who it may be shared with, the legal basis and the person's rights.
Special category data
Types of personal data, such as health, biometric and genetic data, that the law protects more strictly and that can be processed only under specific conditions.
Applicant record
The single record that holds each enquiry: the parent, the channel it came from, what was discussed and the next step.
Message template
A pre-approved message format that a business must use to start a WhatsApp conversation; reminders and announcements are sent with it.
High-risk AI system
Under the EU Artificial Intelligence Act, an AI system used in areas such as education admissions or assessment, which carries extra legal obligations.
Frequently asked

Questions about this article

How do schools and education providers use AI?

On the school's side it is mostly used for five jobs: first replies to parent questions, messages that arrive after hours, visit and introductory bookings, applicant follow-up, and announcements and payment reminders. Teaching, assessment and admission decisions stay with the school.

Do parents know they are writing to an assistant?

Yes. Parents are told clearly that they are writing to an AI assistant. It answers only from the information the school has provided, and anything it cannot answer passes to the admissions lead. Discounts, bursaries and complaints always go to a person.

How is children's data protected?

Parents receive a privacy notice when their data is collected, and a record is kept that they saw it. Health details such as allergies or medication are special category data, so they are never asked for in the chat; they are collected in a restricted section of the application form. Where the data is processed is agreed in writing before the build.

Does AI decide who gets a place?

No. Offering a place, putting a family on the waiting list, awarding a bursary and placing a child in a class are decisions for the school's leadership. The system only keeps the application record in order and shows who needs a call back.

Will it work with our school management software?

If your software offers an external connection, student and application details are read from it; if not, a separate panel is built for admissions. Which suits you is agreed during discovery.

Can it be ready before admissions season?

Discovery takes about a week, and first live use usually opens within 4-8 weeks. Together that can come to two months, so it is best to start well before admissions season. Your timeline is confirmed in writing after discovery.

Sources

The sources this piece rests on

  1. 01Regulation (EU) 2016/679, General Data Protection Regulation · EUR-Lex · 2016
  2. 02Regulation (EU) 2024/1689, Artificial Intelligence Act · EUR-Lex · 2024
  3. 03WhatsApp Business Messaging Policy · Meta
  4. 04Board decision 2020/255 on a school processing pupils' health data (in Turkish) · Turkish Personal Data Protection Authority (KVKK) · 2020
  5. 05Guidance for generative AI in education and research · UNESCO · 2023
Authors

Written by

Alparslan Ünal

Co-Founder, ALTAI Digital

Alparslan Ünal is Co-Founder of ALTAI Digital. ALTAI Digital builds AI assistants, autonomous workflows, and proprietary SaaS platforms for businesses across legal, logistics, real estate, hospitality, and international trade. The company also operates its own SaaS products under the Lexup (legal technology) and Analist (content and data intelligence) brands.

Mert Can Gündoğdu

Co-Founder, ALTAI Digital

Mert Can Gündoğdu is Co-Founder of ALTAI Digital. ALTAI Digital develops AI-driven solutions, autonomous automation infrastructure, and proprietary SaaS platforms for enterprise clients across Turkey and Europe. The company's in-house SaaS portfolio includes Lexup (legal technology) and Analist (content and data intelligence).

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