01
Recognise the request
The agent understands what comes in and which information is missing.
Deploy an AI agent
An AI agent only becomes useful when it does one task really well.
No loose prompt or gimmick, but an AI colleague with a clear task, sources, boundaries and handover to people.
SME businesses
EERSTE PILOT
Choose the task your team keeps repeating every week.
Start small: one task, one process, one visible result.
Clear boundaries
Practical output
Expandable every month
Human oversight for exceptions
Inbox clearerRequest finisherQuote preparerFile trackerLead followerPlanning preparerFeedback translatorTeam knowledge baseReport makerProduction assistant
THE HOOK
Sell on the work that keeps piling up.
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
Where this AI colleague takes work off your hands
This page focuses on recurring work. No generic AI promise, but concrete tasks that return every week and become measurable fast.
02
Gather context
Customer data, documents, previous agreements and open points are brought together.
03
Ask follow-up questions
Missing input is requested automatically and neatly.
04
Create a work briefing
The output is not just text, but a briefing with actions, risks and owner.
05
Involve a person
For pricing, exceptions or substantive judgment, it goes to a colleague.
06
Learn and expand
After the first pilot, the agent gets new tasks and better rules.
WHY THIS MATTERS COMMERCIALLY
Not another tool. A colleague that preps the work for your team.
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.
Clear boundaries
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Practical output
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Expandable every month
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Human oversight for exceptions
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
BEFORE MATCH-AI
Work arrives half finished.
- • emails, WhatsApps and forms are scattered
- • someone has to keep asking the same basic questions
- • important information is missing when you want to plan or quote
- • follow-up depends on who happens to have time
AFTER MATCH-AI
Your AI colleague makes the work transferable.
- • a request or report is summarised automatically
- • missing information is requested
- • next action, owner and priority are proposed
- • your team stays in control and approves the important steps
FIRST 2 WEEKS
We do not build everything at once. We take one recurring workflow live.
01
Choose the workflow
Choose the task your team keeps repeating every week.
02
Learn the rules
Which questions does the agent ask, where does it stop and when does it go to a human?
03
Connect the input
Email, form, Telegram, Drive, CRM or existing customer documents.
04
Live with oversight
First version at work, with a clear feedback loop for improvement.
SAMPLE OUTPUT
Your team gets a work briefing, not chatbot talk.
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: Start small: one task, one process, one visible result.
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
Pages that follow on logically from this workflow.
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
What is an AI agent?
The difference between a chatbot, ChatGPT and a real AI colleague.
Recommended next step
Have an AI agent built
From task to working pilot within 2 weeks.
Recommended next step
Workflow automation
Use AI where context and handover matter.
Frequently asked questions
Quick answers to the main questions.
What is an AI agent?
An AI agent is software that understands information, follows decision rules and prepares or performs actions within an agreed task area.
What do you use an AI agent for?
For recurring work such as intake, lead follow-up, customer questions, file building, quote preparation and reporting.
What is the difference between an AI agent and ChatGPT?
ChatGPT mainly helps with individual questions and texts. An AI agent works within one business process, uses fixed sources and rules, prepares output and involves people in exceptions.
When is an AI agent better than ordinary automation?
When the work contains text, context, exceptions or judgment. Ordinary automation moves data; an AI agent understands information and makes work transferable.
How quickly can an AI agent go live?
A first scoped workflow can often be up and running within 2 weeks.
THE PEOPLE BEHIND MATCH-AI
You work with people, not with an anonymous dashboard
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
Which workflow costs your team too much time every week?
Book an intake. Together we choose the first pilot and define what the AI colleague must deliver.