AI readiness check: assess your company's AI maturity
The AI readiness check shows in five questions how well your company is prepared for AI: data, previous pilots, technical capacity, leadership support and budget. The result is a score from 0 to 100 and one of three stages: Explorer, Adopter or Operator. The check is free and takes a few minutes.
1. Data Readiness & Accessibility
Q 1/52. AI Pilots & Workflows
Q 2/53. In-House Technical Capacity
Q 3/54. Executive Sponsorship
Q 4/55. Budget Clarity
Q 5/5Your maturity score (0-100) and stage classification (Explorer, Adopter, Operator) will update live.
Answer at least one question to request a report.
01 What an AI maturity assessment is
An AI maturity assessment answers a simple question: where does your company stand today, and which step takes you furthest with AI? Many projects do not fail because of the technology but because they start in the wrong place. Starting a large project without a clean data foundation burns budget. Companies that already run systems in production no longer need an introduction, they need rules for scaling and monitoring.
Maturity results from five areas that depend on each other. Good data is of little use without people who work with it. A clear mandate from leadership is of little use without a budget. The check therefore covers all five areas and combines them into one stage. You see at a glance where the next lever is.
02 The five questions
| Question | What it targets |
|---|---|
| How data-ready is your company? | Accessibility, structure and quality of existing data |
| Are there already pilots running or completed? | Practical experience with AI use cases |
| How much in-house technical capacity exists? | Own staff for operations, integration and maintenance |
| How strongly does leadership back the topic? | Sponsorship for decisions and resources |
| How clear is the available budget? | Planning certainty for pilot and rollout |
For each question you choose one of three answers. The score and the stage update after every answer, the full result is shown after the fifth question.
03 The three tiers
| Tier | What it means |
|---|---|
| Explorer | First orientation; data and processes are not yet ready for AI use; an assessment is the sensible next step |
| Adopter | First pilots have run or are being planned; data situation and capacity are enough for a targeted rollout of individual use cases |
| Operator | AI applications are already in production; the focus is on scaling, operations and governance across multiple use cases |
04 What makes sense after your result
The stage is not a judgement, it is a pointer to the next step.
Explorer: an initial assessment brings the most. Which data sits where, in what quality, and which two or three use cases pay off first? After that it is clear whether a pilot is worth it. Whether a use case makes economic sense can be estimated upfront in the ROI calculator.
Adopter: you have first experience and know what works. Now the task is to move a pilot into operations, with clear success criteria, owners and a plan for operations after go-live. Our guide from pilot to operations shows how.
Operator: AI runs in production at your company. The questions now are: how do we monitor the models, who responds to model drift, and does running our own infrastructure pay off compared with per token billing? Our cost calculator answers the last one.
05 Self-test or maturity assessment with consulting
The check on this page is based on your own assessment. For a decision on budget and use cases that is often not enough. In a maturity assessment with consulting we look at your data, systems and processes ourselves and talk to the business units.
You receive:
- an assessment of your data situation per use case
- a prioritised list of use cases with effort and benefit
- a proposal for the first pilot, which we can set up within 72 hours
- a roadmap to operations, typically in 4 to 10 weeks
The cost of the initial assessment is listed on our pricing page. We are happy to discuss your result from the check in an initial call.
06 Limits of the test
The test relies on your own assessment of the five questions, not a technical review of your systems or data. Two companies with a similar self-assessment can score differently in an actual assessment. The test does not replace that review - it helps make the conversation about it more targeted.