01
Choosing a workflow
We choose a process with repetition, volume and clear value.
AI workflow automation
AI workflow automation starts with work that comes back every week.
Not every workflow needs AI. But once text, context, choices and follow-up come together, an AI colleague can prepare a lot before your team steps in.
MKB teams with recurring workflows
EERSTE PILOT
Start with one workflow: intake, lead follow-up, customer question, administrative check or reporting.
AI workflow automation works best with clear input, rules, output and escalation.
SEO cluster around workflow automation
Strong for Google and AI Search
Practical to apply within 2 weeks
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
Structuring input
Mails, forms, documents or CRM data are made usable for the agent.
03
Setting decision rules
What may be automated, what must be checked and when does the workflow escalate?
04
Standardizing output
The agent delivers a summary, actions, missing information and a suggested next step.
05
Adding human control
Important decisions remain with your team.
06
Expanding
After the first workflow, new tasks and integrations follow.
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.
SEO cluster around workflow automation
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Strong for Google and AI Search
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Practical to apply within 2 weeks
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
Start with one workflow: intake, lead follow-up, customer question, administrative check or reporting.
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.
// MKB teams with recurring workflows
Summary: AI workflow automation works best with clear input, rules, output and escalation.
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.
Frequently asked questions
Quick answers to the main questions.
What is AI workflow automation?
AI workflow automation uses AI-agents to prepare or execute steps in a workflow, such as reading information, checking, summarizing and preparing actions.
Is this the same as Make or Zapier?
No. Make and Zapier are strong for fixed integrations. AI workflow automation is suitable when text, context and judgment play a role.
Which workflow do you automate first?
Choose a process with lots of repetition, clear input and output and limited risks.
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.