AI Maturity Assessment

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Take our quick AI maturity assassment quiz. It only takes a few minutes and gives you a clear picture of where you are today, plus tailored suggestions on what to focus on next.

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Strategy: How well-developed and clearly defined is your organization’s AI strategy?

1. We have no defined AI strategy.

2. We are exploring ideas but lack a formal strategy.

3. We have an AI strategy in development.

4. We have a clear strategy but limited implementation.

5. We have a well-defined, organization-wide AI strategy.

None

Organization: How developed is your organization’s overall AI competence, from leadership to operational teams?

1. Limited or no AI competence within the organization.

2. Some awareness but no structured training or expertise.

3. Moderate AI competence in selected teams.

4. Broad competence across teams, supported by internal experts.

5. High AI competence at all levels, with experts driving innovation.

None

Organization: How effectively and extensively does your organization use AI tools in daily operations?

1. We use few or no AI tools.

2. AI tools are used in isolated experiments.

3. AI tools support a few processes or functions.

4. AI tools are widely used and improving efficiency.

5. AI tools are fully integrated and critical to our success.

None

People: How well prepared is your leadership to guide the organization into an AI-driven future?

1. Leadership lacks knowledge and direction about AI.

2. Leadership is aware but not actively involved in AI initiatives.

3. Leadership supports AI initiatives occasionally.

4. Leadership is engaged and encourages AI-driven change.

5. Leadership is visionary and positions the organization as an AI leader.

None

People: How well are your employees able to take ownership and drive their work forward in a changing environment?

1. Employees lack support and tools to act independently.

2. Employees have limited autonomy and rely heavily on guidance.

3. Some employees show initiative, but self-leadership is not consistent across the organization.

4. Employees are generally proactive and supported to work independently.

5. Self-leadership is well developed and actively supported by the organization’s structure.

None

Process: How continuously and systematically does your organization work to develop and improve its processes?

1. No process improvement initiatives are currently active.

2. Process development occurs occasionally and without a structured approach.

3. Some processes are reviewed and improved, but not consistently.

4. Processes are regularly improved based on defined methods and data insights.

5. Processes are developed systematically and continuously, driven by AI and automation.

None

Process: What proportion of your processes are digitalized compared to manual processes?

1. Almost all processes are manual.

2. Most processes are manual, with limited digitalization.

3. Processes are partially digitalized, but many still rely on manual work.

4. Most processes are digitalized and supported by automation.

5. Almost all processes are digitalized and driven by AI.

None

Security and ethics: Do you have a policy for the permitted and responsible use of AI?

1. No AI policy exists.

2. Discussions about AI policy have started, but no formal guidelines are in place.

3. An AI policy exists but is not fully implemented or widely known.

4. An AI policy is implemented and followed in most areas.

5. A clear and fully implemented AI policy governs the responsible use of AI across the organization.

None

Technology: How well is AI technology integrated and automated within your organization’s existing systems and processes?

1. No or very limited integration of AI technology in existing systems.

2. Some experimentation with AI integration, but mostly isolated solutions.

3. AI is partially integrated into selected systems and processes.

4. AI is well integrated in most key systems and supports efficiency.

5. AI is fully integrated and automated across most processes and systems to maximize efficiency.

None

Data: How well organized and accessible is your data for use in AI models and analysis?

1. Data is disorganized and fragmented, making it difficult to use.

2. Some data is structured, but much remains siloed and inconsistent.

3. Data is partly organized and accessible for analysis.

4. Data is well structured and mostly centralized for AI use.

5. Data is well structured, centralized, and optimized for AI applications.

None

1 out of 10

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