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AI READINESS SCAN

Choose the right first AI project before building.

The AI-readiness scan brings processes, data, systems, risks and adoption together. You're getting direction for a defined pilot that suits your organization.

Not every AI idea is a good first project.

An opportunity may sound attractive, but still cling to fragmented data, missing access, too little repetition or an error that has too much impact. The scan shows those dependencies early.

We compare possible applications on practical value, feasibility and manageability. This does not create a general AI list, but a reasoned choice for one next step.

What needs to be in place before a pilot makes sense?

01

Process

Can the work be identified, repeated and clearly defined?

02

Value

What problem is getting smaller and how can we assess change?

03

Data

Are usable sources available, up-to-date and accessible?

04

Systems

What links, rights and technical boundaries are involved?

05

Risk

What happens to a mistake and where does a person have to decide?

06

Adoption

Who uses, manages and improves the application in practice?

A decision, not a pile of AI ideas.

  • A defined problem definition.
  • A priority of opportunity and risk.
  • Required resources, systems and roles.
  • Control points and exceptions.
  • A proposal for a manageable pilot.
  • Clear reasons for not building an idea.

The scan is an implementation reconnaissance and not legal, privacy or security certification.

Is this process ready for an AI pilot?

Review one concrete process. The result is an initial indication and does not replace any substantive, privacy or security test.

All questions and interpretations remain readable without JavaScript.

01Is the process clearly defined and repeatable?
02Is the problem and the desired improvement measurable?
03Are usable and permitted sources of information available?
04Can the necessary systems and rights be linked?
05Is it clear what happens in case of a mistake and when a man decides?
06Is there an owner for use, control and improvement?
0–4 points

First, clarify the basis

Process, purpose, information or ownership requires attention before a pilot can be judged responsibly.

5–8 points

Targeted exploration possible

There is sufficient basis to make uncertainties and control points concrete in a short exploration.

9–12 points

Chance for a defined pilot

The terms seem to be in place. Key examples, exceptions, privacy and error impact before building.

Where can AI start responsibly?

We compare opportunities for value, feasibility and risk and choose a targeted first step together.

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  1. 01

    Understand

    Map process, information and users.

  2. 02

    Prioritise

    Weigh opportunity, feasibility and risk against each other.

  3. 03

    Execute

    Build a defined application with control points.

  4. 04

    Improve

    Review use and develop it in a targeted way.