Organizational AI readiness assessment
February 2025 | Diagnostic
By Marianne van Ooij
Evaluate your organization’s foundations for sustainable AI UX transformation.
Before AI features can succeed, the right foundation must be in place. This diagnostic helps you evaluate your organization’s readiness across leadership alignment, team structure, and adaptive processes—highlighting the conditions needed for AI UX to take root and scale.
Organizational AI readiness means your company is equipped to support intelligent systems across leadership, structure, team practices, and culture. It’s not just about how much AI you’ve implemented—but whether you can do so in a way that is trustworthy, adaptable, and sustainable.
LAUNCH
If you really want to have an AI first culture, then everybody needs to understand it the same way, and needs to operate it the same way.
– John Munsell, INGRAIN AI
Effective AI UX requires readiness across leadership, teams, systems, and culture
This assessment helps you evaluate your organization’s maturity across seven critical dimensions that enable scalable, trustworthy AI experiences:
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Leadership alignment and AI UX strategy integration
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Cross-functional collaboration with shared metrics
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AI literacy, experimentation culture, and psychological safety
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Governance frameworks and bias mitigation processes
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Data quality, availability, and continuous feedback loops
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Infrastructure readiness for scalable AI operations
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Change management, skills development, and compliance alignment
Use this assessment to:
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Score your current capabilities across 7 dimensions
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Understand your AI UX maturity using a structured 5-level model
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Prioritize actions using the built-in action planning template
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Communicate needs and next steps across teams and leadership
Your AI readiness journey
→● Initial awareness: AI viewed as a conventional tech initiative. Organization sees it primarily as a technical challenge, with limited coordination or strategic integration
→ ● Strategic recognition: Organization recognizes AI’s strategic potential, but efforts remain fragmented without cohesive infrastructure or cultural readiness
→ ● Implementation readiness: AI governance, cross-functional teams, and transformation roadmaps are in place. Change management strategies and data foundations are forming
→ ● Scaling capability: AI initiatives are systematically integrated into business strategy. Alignment, scaling processes, and ethical frameworks are well-established
→ ● Transformative: Organization leads industry innovation with adaptive structures, embedded learning systems, and distributed AI expertise across all functions
Built on insights from
Successful AI implementation and Why AI keeps missing the mark, this tool offers a structured, actionable way to identify gaps and define your next steps.
ABOUT THE AUTHOR(S)
Marianne van Ooij is the founder of AI UX Navigator
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