Free tool
AI maturity test for companies
Ten questions to find out where your company stands and what your next step should be. It takes about three minutes. The result is calculated in your browser: we do not ask for or store any data.
Your result
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AI is not yet part of the company. It is the best moment to start well: with a specific problem, clear usage guidelines and no large investments.
Recommended next step: Start with an assessment: identify two or three cases with a clear return and train the team in safe use.
There is interest and some experiments, but no shared plan. The risk is piling up tools and individual uses that do not turn into results.
Recommended next step: Prioritise use cases, choose approved tools and launch a small pilot with measurable goals.
You have much of the foundation: processes, data and people. You are in a position to bring AI into real processes with a measurable return.
Recommended next step: Move from experiments to implementation: integrate AI into your systems and measure the impact on time, quality or cost.
AI is already part of how you work and its use is under control. The challenge now is to scale without losing quality or compliance.
Recommended next step: Look for higher-impact cases (internal assistants, agents, end-to-end automation) and review your governance against the AI Act.
Result by area
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Strategy
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Data
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Processes
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People
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Governance
Where to start improving
Strategy. Before choosing tools, identify two or three specific problems and estimate how much time or money they cost today. A short assessment helps you prioritise them.
Data. AI works with the information it has to hand. Sorting out where documentation lives and who maintains it is the first step towards a reliable internal assistant or automatic extraction.
Processes. Document and measure repetitive processes (how often, how long). They are the best candidates for a first automation with a clear return.
People. If everyone uses AI on their own, data is at risk and productivity is lost. Choose approved tools and train each role according to how it uses AI.
Governance. A short policy on which data can be used with AI and an inventory of the tools in use prevent most problems, and they are the basis for complying with the AI Act.
What the AI maturity test measures
AI maturity does not depend on how many tools you use, but on whether the company is ready to get value from them safely. The test looks at five areas, with two questions each:
- Strategy: whether use cases have been identified and leadership is on board.
- Data: where the information is and whether it is reliable.
- Processes: whether they are documented and whether you already automate tasks.
- People: how the team uses AI and what training it has.
- Governance: usage rules and knowledge of the AI Act and the GDPR.
How to read the result
It is a pointer, not an audit. It helps you spot the weakest area, which is usually the one holding projects back: a company with good data but no usage guidelines faces a different risk from one with lots of enthusiasm and scattered information.
If you want a detailed review, in an AI assessment we look at your processes, data and tools, and give you a prioritised list of use cases with their estimated effort and return.
Want a proper assessment?
We review your processes and suggest where to start, with a realistic plan.