Choose the process
We choose the work that comes back every week and currently costs time or follow-up.
Have an AI agent built
Not months talking about AI, but one agent that takes over a recurring task: completing requests, following up leads, preparing files or sorting customer questions.
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EERSTE PILOT
Having an AI agent built only works if you start with a concrete process, clear boundaries and output your team can use right away.
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.
An AI agent can prepare and carry out recurring work in your business using your existing systems. Start with a clear process, agreed sources and a result you can check. Match-AI sets up integrations with you. Your team provides feedback and stays in control of sensitive actions and decisions throughout.
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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.
We choose the work that comes back every week and currently costs time or follow-up.
What may the agent do on its own, when does it ask further, and when does it go to a person?
Mail, forms, documents, CRM or knowledge base are connected where needed.
The agent delivers no loose text, but a briefing, task, summary or action list.
We test on real requests, customer questions or files before it goes live.
After the first workflow, we expand to new tasks and better rules.
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.
No big IT project
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
4-week onboarding at a rate we agree with you in advance
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Built around your process
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Human oversight on decisions
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Expandable after the first workflow
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
BEFORE MATCH-AI
AFTER MATCH-AI
4-WEEK ONBOARDING
Start with a 4-week onboarding period: one task, one source of input, one clear output for your team. For a rate we agree with you in advance, then you decide.
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.
// SME businesses
Summary: Having an AI agent built only works if you start with a concrete process, clear boundaries and output your team can use right away.
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
See where AI agents create value in SMEs.
Recommended next step
Find the process that first affects money or time.
Recommended next step
Make the first workflow small, measurable and controllable.
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.