Complete quote requests
Request, location, photos, wishes, planning and missing information come together in one estimating briefing.
AI in construction
Not a generic AI tool, but an AI colleague that turns scattered messages, photos, emails and notes into clear work briefings for estimating, work preparation and project management.

EERSTE PILOT
The gain is not more software, but less time spent searching for what was agreed.
THE HOOK
Your AI colleague can do a lot. In the 4-week onboarding period we teach it, together with you, 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.
Request, location, photos, wishes, planning and missing information come together in one estimating briefing.
Turn separate requests into scope, impact, open questions and a decision point.
Daily input from messages, emails and photos is turned into actions, risks and agreements.
Items are grouped, prioritised and prepared for follow-up by the right colleague.
Notes and photos become a short customer update or internal status without retyping.
Specifications, quantities and missing choices are collected before anyone starts calling.
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.
Focused on construction processes
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Fewer separate messages and photos
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Human control over planning, price and approval
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
Start with a quote request or site note and turn it into one complete work briefing.
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.
// Construction companies and contractors
Summary: The gain is not more software, but less time spent searching for what was agreed.
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.
Recommended next step
Explore concrete construction processes for contractors and project teams.
Recommended next step
Make quote requests complete faster for estimating.
Recommended next step
Prepare planning, materials, and open questions before execution.
Quick answers to the main questions.
How your AI colleague works
Cyrill distributes the work across one AI colleague per department. They work in your own systems, share one memory and learn from every task your colleagues do with them.

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.