Fault intake
Ask for the problem, photos, urgency, location and availability.
AI colleague for installers
An AI colleague that gathers faults, photos, urgency, location and availability before the planner or technician gets to work.

EERSTE PILOT
The planner no longer gets half a customer request, but a prepared job.
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.
Ask for the problem, photos, urgency, location and availability.
Collect missing information before estimating or planning loses time.
Set out customer request, context, material indication and planning.
Remind customers in time about maintenance, inspection or checks.
After the technician’s visit, automatically prepare a neat update or next step.
Structure the required parts or questions in advance for the office.
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.
Fewer phone calls
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
More complete job sheets
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Faster planning
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
From fault report to complete job sheet.
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.
// Installers and maintenance companies
Summary: The planner no longer gets half a customer request, but a prepared job.
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.