Free Self-Assessment
18 questions. 5 dimensions. An honest picture of where your organisation stands on AI — with an overall score, per-dimension scores and concrete next steps.
This assessment was generated from your answers by a language model and has not been editorially reviewed. It is an orientation, not legal or professional advice.
AI maturity is not a question of which tools are in use. An organisation where everyone keeps a language model open in the browser can be less mature than one with a single properly embedded use case — because in the first case nobody knows which data leaves the building, and nobody can say whether the work actually got faster.
So the check does not measure how much AI is in use, but whether the conditions are in place for that use to hold. It asks 18 questions and weights the answers across five dimensions.
Nothing. It runs in the browser and the result appears directly on screen. Name and email address are asked for so the result is also available by email.
About ten minutes for 18 questions. The answer options are anchored in behaviour — so it is not about how important a topic is considered, but about what actually happens.
The McKinsey Global AI Survey (2023) and the AI readiness framework from MIT CISR (Weill & Woerner, 2022). Both describe maturity across several dimensions rather than a single figure — which is why there are five individual scores alongside the overall one.
No. Article 4 obliges providers and deployers to ensure a sufficient level of AI literacy among the people operating such systems on their behalf — a self-assessment does not evidence competence. It shows where the gap is widest. What the obligation actually requires is covered in the article on the EU AI Act.
Look at the weakest dimension first, not the overall score. A low data score cannot be fixed by training, and a low competence score cannot be fixed by another tool. The evaluation names a next step for each dimension.