AI Readiness Check (Organisation)

Self-assessment of AI maturity across four dimensions: strategy, data & technology, skills and governance. For leadership and department heads.

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AI Readiness Check (Organisation) – questionnaire preview

Before investing in AI projects, an honest look at your starting position pays off. This readiness check follows common AI maturity models and covers four dimensions: strategy & leadership, data & technology, skills & culture, and governance & compliance. It is not an anonymous workforce survey but targets leadership and department heads – and the differences between perspectives (does IT rate the data more critically than the executive team?) are the most valuable finding. The dashboard becomes the basis for a prioritised AI roadmap.

When should you use this template?

This template is a great fit for:

  • At the start of an AI initiative as a structured baseline
  • Before budget decisions, to direct investment at the weakest dimension
  • Repeated annually to measure progress against the baseline

Every question in this template

  1. 1

    In which role are you answering? *

    Single choice
    • Executive management / board
    • Department or team lead
    • IT / digitalisation
    • Data protection / compliance / legal
    • Business unit / other role
  2. 2

    Strategy & leadership

    How much do the following statements apply to our organisation?

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    We have a documented strategy for our use of AI.
    Leadership actively drives the AI agenda.
    Budget and time are available for AI initiatives.
  3. 3

    Data & technology

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    Our relevant data is accessible in sufficient quality.
    Our core systems have interfaces through which AI can be connected.
    We can trial new AI tools in a safe environment.
  4. 4

    Skills & culture

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    Our employees have solid basic AI skills.
    We build AI skills systematically (training, learning time).
    There are people who visibly champion AI topics in the organisation.
  5. 5

    Governance & compliance

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    There is a clear, communicated policy for AI use.
    Responsibilities for AI risks are defined.
    We systematically review legal requirements (e.g. EU AI Act, GDPR).
  6. 6

    Where does our organisation stand on AI overall?

    Single choice
    • Observer – we are still just watching the topic
    • Experimenter – isolated pilots, no system
    • Adopter – AI is productive in some processes
    • Scaler – AI is being rolled out systematically
    • Leader – AI is part of our business model
  7. 7

    From your perspective, what is currently the biggest obstacle to productive AI use?

    Long text

From questionnaire to dashboard

In DataLion the check becomes a maturity dashboard that contrasts how different units see the organisation:

  • Readiness index: The mean of all maturity statements as a gauge – your headline figure for the board and for repeat measurements.
  • Radar of the four dimensions: Strategy, data, skills and governance as a radar profile – the classic maturity view, instantly comparable across units.
  • Perspective heatmap: Dimensions crossed with the role question: the heatmap shows where executives, IT and departments rate maturity differently – that is where the conversations need to happen.
  • Maturity stage distribution: The self-rating from “observer” to “leader” as a stacked bar – how aligned is your leadership on the status quo?
  • Blocker analysis: The open question on the biggest obstacle, analysed with AI topic analysis – this seeds the first actions on your roadmap.

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Frequently asked questions

Who should complete the check?
Executives, department and team leads plus key roles such as IT, data protection and HR – typically 10 to 50 people. The role question makes perspectives comparable in the dashboard.
How does this differ from the AI literacy assessment?
The literacy assessment measures individual skills across the workforce (Article 4 EU AI Act); the readiness check measures organisational maturity: strategy, data foundation, structures. Together they give the full picture – the templates are designed to complement each other.
How do we turn the results into a roadmap?
Prioritise the dimension with the lowest mean and the statements with the widest spread between roles. A workshop starting from the radar chart works well: two concrete actions per weak dimension, each with an owner and a date.

Start with this template

Load the template into DataLion, adapt it to your brand and start collecting responses — GDPR-compliant, in minutes.

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