Process registration questions
Collect details, preferences, start date and open questions.
AI colleague for childcare and education
An AI colleague that structures registrations, documents and parent questions so administration and the team keep oversight.

EERSTE PILOT
Fewer separate parent questions, more overview in registrations.
THE HOOK
Your AI colleague can do a lot. In the first 2 weeks we teach it the work that keeps piling up every week: completing requests, tracking files, following up leads, preparing quotes or supporting production.
After that it grows into new tasks. Industries are examples; the real entry point is the workflow that keeps stalling.
WORKFLOWS THAT COST MONEY OR TIME
This page focuses on recurring work. No generic AI promise, but concrete tasks that return every week and become measurable fast.
Collect details, preferences, start date and open questions.
Turn separate emails and messages into actions.
Answer frequently asked status questions within agreed boundaries.
Flag missing forms and details.
Turn input into clear parent communication.
Answer practical questions about planning, documents and appointments.
WHY THIS MATTERS COMMERCIALLY
Most companies lose time not to one big task, but to dozens of half-finished questions: incomplete requests, loose emails, forgotten documents, feedback without an owner and leads that get followed up too late.
More overview
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Fewer repeat questions
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
More complete files
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
BEFORE MATCH-AI
AFTER MATCH-AI
FIRST 2 WEEKS
Registration to complete file.
Which questions does the agent ask, where does it stop and when does it go to a human?
Email, form, Telegram, Drive, CRM or existing customer documents.
First version at work, with a clear feedback loop for improvement.
SAMPLE OUTPUT
A good AI colleague does not send a long answer. It delivers a usable handover that someone can act on straight away.
// Childcare, schools and training providers
Summary: Fewer separate parent questions, more overview in registrations.
Missing info: planning, budget, contact person, attachments
Suggested action: create a task, request the missing info and route it to the owner
Needs a human for: pricing agreements, exceptions and substantive judgement
Keep building
These internal links connect AI agents, workflow automation and process automation. Visitors choose faster and search engines understand better which pages belong to the same AI colleague cluster.
Quick answers to the main questions.

THE PEOPLE BEHIND MATCH-AI
Match-AI is a team of co-owners with a background in sales, marketing, finance and technology, supported by specialists in support and marketing. Every project gets a dedicated contact person who thinks along about process, adoption and results.
Peter van de Groep
Commercial contact at Match-AI
YOUR CONTACT
Book an intake. Together we choose the first pilot and define what the AI colleague must deliver.