Start AI assessment Derived from your answers
Your personal AI starting-point analysis
Potential strength
Implementation readiness
Recommended assessment
01
Current position & first starting point
What your answers reveal about your current position, typical friction points, and the most likely useful starting point.
02
Potential profile from your answers
This overview shows where the strongest current signals for relief, clarification, or automation appear.
03
Patterns identified in your answers
The result uses several answers. Recurring patterns matter most.
Repetition
Certain questions, information or workflows occur repeatedly.
Dependency on knowledge
Work depends on people, documents, systems or experience.
Preparation before decisions
People should continue to decide, but not every search, check or preparation step has to remain manual.
People keep making decisions. AI can handle search, checks and preparation.
04
Identified opportunities
Your answers indicate initial opportunities, from the most obvious starting point to potential that is often overlooked in day-to-day work.
05
Current-to-target comparison
This comparison shows which work is still manual, repeated, or distributed today, and where AI or automation could provide preparatory support.
Today
Possible target state
The goal is not to automate responsibility. The goal is to improve preparation so people can decide faster and with greater confidence.
06
Checks before implementation
These points are not barriers. They show which questions should be answered properly before an investment.
07
Initial project ideas
These ideas are deliberately framed as testable starting points, not as finished tool recommendations.
08
Recommended prioritization
Not every opportunity should be started at the same time. This assessment shows what to examine first, what needs preparation, and what can wait.
09
Next useful step
The assessment shows initial patterns. The next step is to examine which approach will genuinely hold up and what a small, useful start could look like.
Clarify the problem before choosing a tool
Many companies test one AI tool after another. A clearer sequence works better:
- 01 Describe the problem in concrete terms
- 02 Define the desired outcome
- 03 Clarify data, processes and responsibilities
- 04 Only then select the right AI approach
Kidlin’s Law
„If you can write the problem down clearly, then the matter is half solved.“
Successful AI adoption therefore starts with a precise problem statement, not with choosing a tool.
Which approach really holds up in your organization, and what is the smallest useful first step?
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The comparison becomes more useful when management and operational teams complete the check from their own perspectives.