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AI READINESS

What is AI Readiness? Measure your readiness for AI transformation.

AI Readiness is the degree to which an organisation is prepared to successfully adopt and scale artificial intelligence. It encompasses not only technical readiness but also strategic, organisational and cultural dimensions that together determine whether AI initiatives actually deliver value.

Assessment Maturity Model 6 Dimensions Roadmap
What is AI Readiness? — AI Readiness is the degree to which an organisation is prepared to successfully implement and scale artificial intelligence. This encompasses technical infrastructure, data quality, governance frameworks, organisational culture and the availability of AI expertise within teams. An objective readiness assessment forms the starting point for any AI strategy.
68%
of organisations are not AI-ready
6
dimensions of AI readiness
5
maturity levels
3x
faster adoption with assessment
THE 6 DIMENSIONS

The six dimensions of AI Readiness

W69 assesses AI Readiness across six interconnected dimensions that together form the complete picture.

Strategy & Leadership

Is there a clear AI vision with executive sponsorship? Are AI goals linked to business objectives? Without strategic anchoring, AI remains an area of experimentation without impact on the organisation.

Data & Infrastructure

What is the quality and availability of data? Is there a data governance framework? Are systems accessible via APIs with a modern cloud or hybrid infrastructure? Data is the fuel for AI.

Technology & Tooling

Is there an AI platform or MLOps environment? Are there development and testing environments with GPU capacity? The technological foundation determines how quickly and scalably AI can be deployed in production.

Talent & Competencies

Does the organisation have AI expertise? Is there a plan for upskilling and broad AI literacy among business stakeholders? Talent is often the most critical bottleneck in AI adoption.

Processes & Governance

Are there processes for AI project management and a governance framework? Are there guidelines for responsible AI and model lifecycle management? Processes ensure repeatability and scalability.

Culture & Change

Is there a culture of experimentation and learning? How does the organisation feel about automation and AI-driven decision-making? Culture determines whether technical implementations are actually adopted.

MATURITY MODEL

AI Readiness Maturity Model

Five levels of AI maturity: from ad-hoc experiments to a transformative AI organisation.

LEVEL 1 Initial LEVEL 2 Exploring LEVEL 3 Operational LEVEL 4 Optimised LEVEL 5 Transformative AI MATURITY → W69 AI Readiness Maturity Model™
IMPLEMENTATION

Six steps of the AI Readiness Assessment

A structured process to objectively map your organisation's AI readiness.

1

Assessment Intake

Getting to know the organisation, defining scope and ambitions, identifying key stakeholders and aligning on the approach. The intake ensures that the assessment matches your specific context.

2

Dimension Analysis

In-depth evaluation of all six dimensions through stakeholder interviews, technical assessments, document analysis and workshops. Each perspective provides unique insights that together form the complete picture.

3

Maturity Scoring

Each dimension is scored on the five-level maturity model. This produces a nuanced profile that shows where the organisation is strong and where the greatest growth opportunities lie.

4

Gap Analysis

Comparison of current scores against the desired state based on your AI ambitions. The gap per dimension is translated into concrete improvement actions with clear prioritisation and dependencies.

5

Roadmap & Action Plan

The results are translated into a prioritised roadmap with concrete actions, timelines, responsibilities and investment estimates. The action plan connects directly to your AI strategy.

Continuous Monitoring

AI Readiness is not a one-time measurement. Periodic reassessments keep your roadmap current, measure progress and adjust the course to new technological developments and organisational changes.

FREQUENTLY ASKED QUESTIONS

Everything about AI Readiness

AI Readiness is the degree to which an organisation is prepared to successfully implement and scale artificial intelligence. It encompasses six dimensions: strategy and leadership, data and infrastructure, technology and tooling, talent and competencies, processes and governance, and culture and change readiness.

Without objective insight into your current AI readiness, you risk investing in initiatives that fail due to missing prerequisites. An assessment identifies gaps, sets priorities and ensures that budget is effectively allocated to the areas with the greatest impact.

The W69 AI Readiness Model distinguishes six dimensions: Strategy & Leadership, Data & Infrastructure, Technology & Tooling, Talent & Competencies, Processes & Governance, and Culture & Change. Each dimension is assessed and scored separately.

The maturity model has five levels: Initial (ad hoc), Exploring (first pilots), Operational (AI in production), Optimised (deeply integrated) and Transformative (strategic core competency). Each dimension is scored separately, creating a nuanced profile of AI maturity.

A quick scan can be completed within two weeks. A full assessment with stakeholder interviews, technical evaluation, maturity scoring and roadmap typically takes four to six weeks, depending on the size of the organisation and the number of stakeholders involved.

A quick scan starts from €5,000. A full assessment including dimension analysis, maturity scoring, gap analysis and roadmap ranges from €15,000 to €40,000, depending on scope and organisation size. The investment far outweighs the risks of undirected spending.

Yes. The W69 AI Readiness Scan via our AI Assistant provides an initial indication of your readiness in approximately ten minutes. This gives a high-level picture per dimension. For an in-depth analysis with benchmarks and a concrete roadmap, we recommend a guided assessment by our consultants.

A low score is not a problem but a starting point. The assessment delivers the most value precisely then: it reveals where the gaps are and generates a prioritised action plan that allows you to invest specifically in the dimensions with the greatest impact on your AI ambitions.

Digital transformation is broader and encompasses all digital technologies. AI Readiness focuses specifically on the prerequisites for artificial intelligence, such as data quality, MLOps infrastructure, AI-specific governance and the availability of specialised talent. AI readiness builds on digital maturity but goes further.

W69 recommends at least an annual reassessment, or sooner after major organisational changes such as mergers, new AI strategy or technological shifts. AI technology evolves rapidly, which means the bar for readiness continuously shifts. Periodic measurements keep your roadmap current and measurable.

NEXT STEP

Curious about your AI Readiness?

Start with the free AI Readiness Scan or schedule a consultation for a tailored in-depth assessment. W69 guides you from measurement to roadmap.

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