01
Ranking AI opportunities
We score use cases on impact, risk, data availability and feasibility.
AI strategy for B2B
A B2B AI strategy must end in execution.
B2B companies often have enough AI ideas. The question is which process delivers commercial or operational value and is safe enough to automate first.
B2B companies that want to use AI strategically
EERSTE PILOT
Start with one B2B process: lead qualification, quote preparation, customer follow-up, support or administration.
Strategy only becomes valuable when the first AI colleague becomes productive.
Based on B2B search intent
From strategy to a working process
Strong fit with MKB offering
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
Choosing B2B processes
Sales, marketing, service and operations are linked to concrete AI workflows.
03
Defining governance
Human control, tone of voice, privacy and escalations are captured in a practical way.
04
Building the pilot
The first AI colleague gets a scoped task and clear output.
05
Organizing adoption
Teams learn when to use the agent and when not to.
06
Creating the roadmap
After the pilot, we plan expansion to additional processes.
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.
Based on B2B search intent
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
From strategy to a working process
Measurable in less back-and-forth, faster follow-up and better handover to the person doing the work.
Strong fit with MKB offering
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 B2B process: lead qualification, quote preparation, customer follow-up, support or administration.
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.
// B2B companies that want to use AI strategically
Summary: Strategy only becomes valuable when the first AI colleague becomes productive.
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 belongs in an AI strategy for B2B?
A good AI strategy chooses priority processes, defines risks and makes clear which AI colleague goes live first.
Why not use AI everywhere at once?
Because adoption, control and quality work better when you start with one concrete process and then expand.
Which B2B processes are suitable?
Lead qualification, customer follow-up, quote preparation, support questions, reporting and administrative checks are often good first candidates.
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.