AI automation that takeswork off your hands.

No hard sells, no generic decks. One conversation with the person who would actually build your system. Tell us where the work gets stuck.

Less busywork. More overview.

The AI LAB of The Creativity Lab builds AI automation, agents, dashboards and business systems for companies in the Netherlands. We start with the process that costs the most time and get that one flowing first.

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Monday to Friday: 9:00 – 18:00

Based in
Studio

Amsterdam, the Netherlands

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Studio in Amsterdam

FAQ

Everything You Need to Know
Before Taking the Next Step.

You have questions before committing to anything. Here are the ones we hear most.

Is AI automation right for my business?

If there is work that goes the same way every week, yes: retyping data, answering emails, passing on requests, updating reports. That work is predictable, and predictable work can be handed over. If in doubt, the first conversation shows it: we walk through your week and point at where the hours go.

What happens in the first conversation?

Half an hour about how your business runs today, no slides. We ask questions, you tell us where it grinds. You leave with at least two concrete opportunities, even if we never work together.

Do we need technical people in-house?

No. We design, build and connect everything and teach your team the parts they touch. If you do have developers, we are happy to work alongside them.

How soon can we start?

Usually within two weeks of the conversation. We start small, with an audit and one or two automations, so you see the effect before building further.

What do you need from us to get going?

Access to the tools you use today, one point of contact on your side, and an hour a week for check-ins in the first weeks. That is all. You do not need documentation; we write it.

Do you only work with large companies?

No. Most clients are growing companies of ten to a hundred people: big enough to suffer from manual work, small enough to decide quickly. What matters is that there is something to gain.

What is the difference between automation and an AI agent?

Automation follows fixed rules: if this, then that. An agent can read, weigh and choose, for example understand an email and decide the right next step. Often plain automation is enough, and we say so.

Which tools do you work with?

The ones you already use. We build on top of your current systems, such as your CRM, accounting, mail and planning, and connect them through APIs and webhooks. New tools only come in when they clearly add something.

How long does a project take?

A first automation usually runs within two to four weeks. Larger systems such as a client portal or a dashboard environment take six to ten weeks, in visible weekly steps.

Who owns the systems you build?

You do. Everything runs in your accounts, under your control, fully documented. You can stop at any time without anything grinding to a halt.

How do you handle our data and privacy?

Data stays in your environment and within the EU wherever possible. We use only what a task needs, record which AI models see what, and never use client data to train models. A data processing agreement is part of every engagement.

What if something breaks or changes?

Every system has monitoring and alerts, so we often see it before you do. Maintenance and adjustment are part of the work. If a tool or a process changes, we adapt the system.

What does AI automation cost?

That depends on what you have built and how much is attached to it. We work with a fixed scope per step, so you know up front what you get and what it costs. In the first conversation we give an honest indication based on your situation.

Why a monthly partnership rather than a one-off project?

Because systems get better with attention. In a monthly format we stay responsible for the outcome, not just the delivery. A one-off project is possible too, for instance for one well-defined automation.

Can we start small?

Yes, and we recommend it. The audit plus one or two automations is the natural start: you see the effect, then you build on.

How quickly does it pay for itself?

Usually within a few months. We work out beforehand how many hours or errors a system removes, so you know the payback time before we start. If the sum does not add up, we say so.

Are we tied in?

No. No long contracts, no licences that only run through us. Everything is in your name, so you can always continue yourself or bring in someone else.

Are there hidden costs, such as licences or API usage?

We name them up front. Some tools and AI models charge per use; that is separate from our work and goes into the scope, with an estimate of the monthly amount.

How do you measure whether it works?

Every system gets a number before we start: hours saved, response time, conversion, error rate. We report against that, not against activity.

What if a system delivers less than expected?

Then we adjust. Monitoring catches deviations early and refinement is part of every plan. If something structurally delivers too little, we say so and switch it off.

How do you make sure our team actually uses it?

By building it into the tools the team already has open and by taking it into use together. A system nobody uses does not count as delivered.

What is left for people to do?

The work that needs judgement: customers, decisions, exceptions. Automation removes the repetition, not the responsibility. Wherever it matters we build in a human check.

Can we make changes ourselves?

Yes. Everything is documented and built in tools your team can understand. Small changes you make yourself; bigger ones we take on together.

What does the partnership look like after launch?

That is when it starts. We follow the numbers, improve where it pays and build on when the next process is ready. You have one point of contact and a fixed check-in.

Still have a question that isn’t answered here?
Send it straight to the person who builds the systems.