Home / Use cases
Use cases

10 ways businesses put AI to work

Every one is a system we take to production — pick the outcome closest to yours and see how it works, what it costs and how fast it ships.

Why this list

From scattered AI hype to ten outcomes that pay off

According to CBS, 29.8% of Dutch SMEs now use AI — but only 13.8% of micro-firms do, and 74.6% of non-adopters name one reason: lack of experience, not cost. The leap isn’t a technology question, it’s a choice: which use case do you start with?

That’s why this list is ordered by outcome, not by technology. Every card is a system we take to production — at a fixed price, with one named expert, and code you own. Pick the outcome closest to your daily pain; the rest follows.

29.8%of SMEs already use AI (CBS)
~6.4hrecovered per employee, per week
75%of routine questions AI resolves
How it ships

Every use case follows the same proven path

No leap in the dark. A free AI scan points to the highest-return use case; an AI audit (€2,500) proves the business case on your own numbers; a proof of concept (€20,000) runs it on your real data; and only then do we build to production (from €50,000). You know the cost before you start, and the risk sits with us.

Grouped by goal

What do you want AI to solve for you?

The ten use cases serve three business goals. Pick the goal that weighs heaviest in your business first, and choosing the use case becomes much simpler.

01

Cut cost and reclaim time

The fastest payback sits here: customer service automation, process automation, document & data processing and HR automation. They take repetitive work off your team. Federal Reserve and production-AI studies find employees recover a median of around 6.4 hours per week — time that moves to higher-value work. Zendesk reports AI resolves up to 75% of routine questions at a fraction of the cost of a human contact.

02

Grow revenue and customer value

AI agents & chatbots, marketing personalisation and recruitment automation expand what your existing team can handle. Faster responses, sharper targeting and a shorter path from lead to customer. Crucially, 82% of AI-adopting SMBs grow their workforce rather than cut it — AI raises the ceiling on what you can deliver instead of replacing people.

03

Reduce risk and safeguard quality

Predictive maintenance, machine vision & quality control and logistics & route optimisation prevent costly errors and downtime. A single avoided outage or lower defect rate often covers the whole project. These use cases lean on data you already have — sensor data, images, trip records — so they deliver a measurable result fast.

The right first pick

Which use case should you start with?

The biggest mistake is trying everything at once. The use cases that pay back fastest share three traits — pick the card that scores highest on all three, and you have your first project. McKinsey estimates 60–70% of work hours go to tasks AI can partly take over, so the opportunity is almost always there; the question is sequence.

  • Daily, repetitive pain. Work that comes back every day and costs your team hours — customer questions, invoices, quotes, reporting. The more often it happens, the faster AI pays for itself.
  • The data already exists. You already have historical emails, invoices or sensor data. Existing, reachable data means weeks to value instead of months.
  • A human stays in control. AI drafts, your people approve. Use cases with a natural approval step are low-risk under the EU AI Act and trusted faster by the team.
FAQ

Frequently asked questions

Which use case should I start with?

The one where you feel the pain daily and the data already exists — usually customer service, invoice processing or forecasting. Start small, measure honestly, then extend. A free AI scan points to the highest-return use case for your specific business.

How fast does a use case go live?

A bounded use case often reaches a working proof of concept within weeks and production in two to four months. Time-savings usually show within weeks; the full financial return compounds over years.

What does it cost?

We work on fixed prices: an AI audit for €2,500, a proof of concept for €20,000 and production from €50,000. You know the cost before you start — no day rates, and you own the code.

Will AI replace my staff?

No. A 2025 study found 82% of AI-adopting SMBs grew their workforce rather than cut it. AI removes the repetitive work so your team handles more, higher-value work.

Is this AVG and EU AI Act compliant?

Yes — every use case is built to be AVG and EU AI Act-compliant from the first line, with human oversight on consequential decisions and transparency toward your customers.

Why now

It’s the right moment for the MKB

The numbers tell a clear story. According to CBS, 29.8% of Dutch SMEs now use AI — but only 13.8% of micro-firms do, against roughly 59% of large firms. That leaves a real head start for whoever executes a first use case well now. And the Ministry of Economic Affairs reports that more than half of Dutch SMEs plan to invest in AI and automation.

The biggest brake isn’t money or technology: 74.6% of non-adopters name lack of experience as the reason. That is exactly the gap a good partner closes fastest. You don’t need a data team or a large budget — you need one bounded use case, a fixed price, and someone who has done it before. Start with the outcome closest to your daily pain, prove it small on your own data, and let that first win pay for the next.

Every use case above is a system we take to production — EU AI Act and AVG-ready, with code you own. For more context on the data, the cost and the approach, see our AI-for-the-MKB overview. AI for the MKB →

Don’t see your use case?

Start with a free AI scan or a consultation — we point you to the first step that pays off most.

Book a free consultation →