What does an AI implementation cost? The honest answer: it depends.
There's no fixed price tag for AI. What is possible: understanding which factors determine the investment and how to stay in control of it. On this page we explain it, without the sales talk.
What determines the cost of an AI implementation?
The cost of an AI implementation depends on five factors: the scope and complexity of the use case, the quality of your data, the number of integrations with existing systems, the effort for adoption and training, and the choice between a one-off delivery or ongoing management. There's no fixed amount: every project is bespoke.
- Scope and complexity of the use case
- Data quality and availability
- Integrations with existing systems
- Adoption, training and management
Why there's no fixed amount
'What does AI implementation cost?' is a logical question, but there's no single answer to it — no more than to 'what does a renovation cost'. It depends on what you want to achieve, where your organisation stands and how far you want to go.
A smart search across your own documents is something entirely different from an AI solution running through your whole order process and connecting to multiple systems. Both are 'AI implementation', but the investment differs greatly.
What we can do is be transparent about which factors determine the investment and how you ensure you never spend more than the value it delivers. That's what this page is about.
Our approach is designed to give you that grip: start small, measure quickly and only scale once the value is proven. That way the investment always stays tied to results.
Which factors determine the investment
Five factors weigh heaviest. Together they determine how much work a project requires, and therefore what it costs.
01
Scope and complexity
A single, well-defined use case takes less than a solution running across multiple departments. The broader and more critical the process, the more effort goes into design, testing and assurance.
02
Data quality and availability
AI is only as good as the data beneath it. Is your data scattered, incomplete or polluted? Then work is needed first to get it in order. Clean, well-accessible data speeds up every project.
03
Integrations with existing systems
A standalone pilot is quicker to build than a solution that has to connect with your ERP, CRM or other core systems. The number and complexity of those integrations weigh in.
04
Adoption and training
The technology is often the smallest part. Making sure people actually use the solution — with training, guidance and adjustment to their way of working — determines whether the investment delivers value.
05
Management and further development
AI never stands still. Monitoring, maintenance and adjustment based on usage are part of it. Do you opt for a one-off delivery or a solution that grows with you? That makes a difference.
"It depends" — and how to get a grip anyway
The fact that cost depends on the situation doesn't mean you're in the dark. The way to get a grip isn't a quote up front for a large, uncertain project, but starting small and measurable.
That's why we prefer to start with a well-defined pilot around the use case with the most value. We agree up front what success is and make it measurable: time saved, shorter lead times, fewer errors. That way you build a business case on real results instead of assumptions.
If the pilot delivers what we expected, we scale up. If not, we adjust or stop, without you being locked into a costly project. The investment always stays tied to proven value.
That's how our AI pilot works as a manageable first step towards AI implementation. Not sure where to start? Then read getting started with AI or compare the options in our overview of AI tools for business.
This is how we keep costs manageable
We build every project so the investment always stays tied to demonstrable value.
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Define sharply
intro + scanWe don't start big, but targeted. By choosing one concrete use case with the most value, we keep the first investment manageable and the risk small.
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Pilot with a business case
a few weeksWe build a working pilot and attach measurable goals to it up front. That way you see what the solution delivers before you decide to scale.
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Decide based on results
after the pilotDoes the pilot deliver what we expected? Then we scale up. If not, we adjust or stop — without you being locked into a large project.
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Scale in manageable steps
ongoingWe expand in phases, each with a clear goal per step. That keeps the investment tied to demonstrable value and keeps you in control.
Want a concrete estimate for your situation?
The AI Readiness Scan maps out where you stand and where the value lies. A solid starting point for a conversation about what a project requires in your case.
Take the AI Readiness Scan
Frequently asked questions about the cost of AI
What determines the price of an AI implementation?
There's no fixed amount, because the investment depends on a number of factors: the scope and complexity of the use case, the quality and availability of your data, the number of integrations with existing systems, the effort adoption and training require, and whether you choose a one-off delivery or ongoing management. Two projects that look alike on paper can therefore differ considerably.
Can I start small?
Yes, and we actually recommend it. We prefer to start with one well-defined pilot around the use case with the most value. That keeps the first investment manageable, shows results quickly, and lets you decide on scaling only once the value is proven.
Will I earn the investment back?
That's exactly what we steer on up front. We attach measurable goals to every pilot — for example time employees save, lead times that shorten or errors that decrease. That way you build a concrete business case and see whether the value outweighs the investment, instead of guessing.
Do you work with a subscription or per project?
Both are possible. A well-defined implementation project fits nicely into a project form. If you want us to stay involved for management, further development and new use cases, we work in an ongoing partnership. Which fits best depends on your ambition and internal capacity; we discuss that in the introductory conversation.
Why is there no price list on the site?
Because every project is bespoke. A fixed price list would suggest AI implementation is a standard product, and it isn't: the investment depends on your situation, data and goals. That's why we prefer a conversation in which we sharpen your challenge and only then give a well-founded estimate.
Curious what an AI implementation requires in your case?
Book a no-obligation call. We map out your challenge clearly and then give a well-founded estimate, tailored to your situation.