AI readiness check

How ready is your company for AI?

Twelve questions from our practical guide, six areas, about three minutes. You see your stage right away; we e-mail you the detailed evaluation with your next step.

12 questions · about 3 minutes

AGoals and benefits
1. Are AI tasks and goals prioritised?Yes, if there is a list with problem, goal and success criterion.
2. Do we know the effort and total cost?Yes, if baseline, rollout, review and operation are costed.
BData and knowledge
3. Is it clear which data may go into which services?Yes, if data and service approvals are documented and easy to find.
4. Are our sources up to date and protected?Yes, if maintenance, versions and access rights have been checked.
CProcesses and integration
5. Is the workflow described?Yes, if input, result, hand-overs, approval and exceptions are fixed.
6. Are the AI’s access and limits settled?Yes, if access is tested and actions and fallback are defined.
DResponsibility and security
7. Are there named people in charge?Yes, if they may approve, stop and handle incidents.
8. Are legal and security aspects checked up front?Yes, if there is a documented review path with the relevant experts.
EPeople and skills
9. Do employees know the rules and limits?Yes, if there is an introduction and clear usage guidance.
10. Are the affected teams involved?Yes, if contacts, a feedback channel and learning time are planned.
FQuality and operation
11. Is there a reliable review of results?Yes, if test cases, limits and reviewers are fixed and tried out.
12. Are operation and changes managed?Yes, if monitoring, support, costs and re-tests are assigned.
✓Three prerequisites for starting

Regardless of the score: only start with three yeses.

Data and service approved?
Person named to approve and stop?
Quality criteria and reviewers fixed?

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A guide with twelve equally weighted questions. The stages are pragmatic working ranges, not validated thresholds. The result is neither a certification nor proof of legal compliance or security.