01
Inbox to task list
Incoming emails are summarized, prioritized, and turned into concrete actions.
Workflow automation
One less manual workflow. Gains every week.
Workflow automation only works when it fits how your team actually works. That’s why Match-AI first builds one clear pilot: small enough to go live quickly, important enough to make a difference.
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Workflow-driven teams
EERSTE PILOT
Start with the workflow where delays, repetition, or missed follow-up are currently the biggest issue.
A good AI workflow doesn’t remove control; it removes noise, waiting time, and repeat work from your week.
High commercial intent
Directly measurable in time and follow-up
Fits existing tools and channels
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 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
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
Quote request to briefing
The agent collects needs, context, missing information, and creates a quote briefing.
03
Lead to follow-up
New leads are identified, enriched, and prepared for quick follow-up.
04
Intake to file
Answers, documents, and open questions are bundled into one workable file.
05
Planning to preparation
Customer request, availability, materials, and team actions are prepared.
06
Conversation to reporting
Notes and input are translated into a summary, decisions, and next steps.
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.
High commercial intent
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Directly measurable in time and follow-up
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Fits existing tools and channels
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
4-WEEK ONBOARDING
We do not build everything at once. We take one recurring workflow live.
01
Choose the workflow
Start with the workflow where delays, repetition, or missed follow-up are currently the biggest issue.
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.
// Workflow-driven teams
Summary: A good AI workflow doesn’t remove control; it removes noise, waiting time, and repeat work from your week.
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
AI colleague for lead follow-up
Let new leads move faster to a concrete next step.
Recommended next step
AI agent for quote preparation
Complete quote requests before sales or delivery begins.
Recommended next step
AI assistant for customer questions
Turn inbox messages and customer questions into clear work in progress.
Frequently asked questions
Quick answers to the main questions.
What is workflow automation?
It’s making a recurring sequence of steps run more smartly, such as receiving a request, collecting information, following up, checking, and reporting.
Why use an AI colleague instead of just Zapier or Make?
Because a lot of work is not just clicking or moving data. An AI colleague can understand text, ask questions, summarize, check, and prepare actions.
Which workflow do we choose first?
The workflow with a lot of repetition, clear rules, and visible impact: often lead follow-up, quote preparation, inbox, or administration.
What do you need to record for workflow automation?
For each workflow, note what input comes in, which rules apply, what output is needed, and where human control remains mandatory.
When do you choose AI instead of only Make or Zapier?
Choose AI when text, context, exceptions, or summaries matter. Use Make or Zapier mainly for fixed connections and predictable data steps.
What are good examples of workflow automation with AI?
Good examples are inbox to task list, quote request to briefing, lead to follow-up, intake to file, planning to preparation, and conversation to reporting.
How your AI colleague works
One AI colleague that connects everything. Learns from your whole team.
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
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.