01
Recognise questions
The agent categorises customer questions by topic, urgency and required next step.
Automate customer service
Get customer questions to the right answer faster.
An AI colleague that understands customer questions, asks for missing information, prepares answers and neatly hands over complex situations to your team.
Service and support teams
EERSTE PILOT
Start with one question flow: inbox, form, WhatsApp export or support email.
Automating customer service is not about replacing people, but reducing waiting times, repeated questions and search work.
Faster response time
Fewer repeated questions
Better handover to people
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.
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
Prepare answers
Frequently asked questions receive a draft answer based on your knowledge and tone.
03
Request missing information
The customer receives targeted follow-up questions so the team does not have to search.
04
Enrich tickets
Summary, customer context, attachments and suggested action are brought together.
05
Escalate to a person
For exceptions, complaints or substantive judgment, the right colleague is involved.
06
Flag recurring issues
Common questions become visible as a point for improvement in product, process or communication.
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.
Faster response time
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Fewer repeated questions
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Better handover to people
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 question flow: inbox, form, WhatsApp export or support email.
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.
// Service and support teams
Summary: Automating customer service is not about replacing people, but reducing waiting times, repeated questions and search work.
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 assistant for inbox and customer questions
Turn scattered customer questions into a clear task list.
Recommended next step
Workflow automation
Define what the AI colleague may answer and where it stops.
Recommended next step
Have an AI agent built
Start by building one question flow before you expand.
Frequently asked questions
Quick answers to the main questions.
Can AI take over customer service completely?
That is usually not advisable. The best start is sorting questions, preparing answers and passing complex situations on to people.
Does this work with our existing mailbox or ticketing system?
Often yes. We start practically with the channels you already use and connect more deeply later where needed.
How do we keep control over answers?
With clear knowledge sources, approval rules, logging and escalation to people when there is doubt or an exception.
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.