Process website changes
Client email comes in, the agent extracts copy, image requests and open questions and prepares a draft task for design or development.
AI colleague for marketing agencies
An AI colleague that turns client email, PDF feedback and messages into concrete tasks, briefings and production steps. Less figuring things out for project managers, more momentum in the studio.

EERSTE PILOT
From scattered client feedback to clear production tasks without a project manager having to untangle everything.
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.
Client email comes in, the agent extracts copy, image requests and open questions and prepares a draft task for design or development.
Collect input, fill formats, check texts and prepare files for review.
Loose ideas are turned into planning, captions, briefing and publication timing.
Feedback from email, PDF or WhatsApp is summarised into concrete tasks per discipline.
Social, ads and analytics data are translated into monthly reports and action points.
A vague client request becomes a sharp briefing for designer, developer or copywriter.
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.
Less project management noise
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Faster feedback processing
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Briefings that are ready to use
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
Client feedback to production tasks or DTP week assistant.
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.
// Marketing agencies
Summary: From scattered client feedback to clear production tasks without a project manager having to untangle everything.
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.