Is Your Organization Ready to Solve Big Challenges by Leveraging AI²?
Take our free AI² Readiness Assessment to see how prepared your organization is to tackle its biggest challenges using AI in purposeful, people-centered ways.
About the AI² Readiness Assessment
The AI² Readiness Assessment is designed to help organizations explore their capacity to adopt and scale AI responsibly. Based on Illuminate’s AI² framework (Appreciative Inquiry × Artificial Intelligence), it highlights six key domains of readiness: Purpose, Data, People, Values, Experimentation, and Structures. By completing the assessment, you’ll receive:
- Your AI² Readiness Score → A snapshot of how prepared your organization is to solve problems and capture opportunities with AI.
- A Domain-by-Domain Profile → See which areas are strong and which may need more attention.
- Readiness Tier Guidance → Understand whether you’re at a Foundational, Emerging, or Ready to Act stage.
- Reflection Prompts → Questions to help your team translate results into conversation, learning, and next steps.
- Optional Support → Access to Illuminate’s expertise if you’d like structured help moving from score to strategy.
See How Ready You Are
Most AI pilots fail not because of the technology, but because organizations aren’t prepared to adopt and integrate AI effectively. This tool helps you see where your strengths are today, and where you can grow to ensure success.
The Six Domains of AI² Readiness
Our assessment explores six domains that shape an organization’s ability to adopt AI in purposeful, people-centered ways. These domains reflect the real-world enablers of transformation. Strong AI adoption isn’t just about models, it’s about aligning with purpose, building trust, empowering people, and sustaining progress.
Purpose & Possibility
Is AI aligned with your mission and strategic goals?
Why it matters: Without a clear purpose, AI risks becoming a shiny distraction instead of a driver of impact.
Data as a Learning Asset
Are data practices strong enough to support meaningful AI use?
Why it matters: Strong data foundations turn experiments into insights and insights into action.
People & Pathways
Do teams have the skills, openness, and structures to experiment and learn?
Why it matters: Adoption depends on people who feel prepared, supported, and safe to try new tools.
Values in Action
Are ethical principles and equity considerations guiding adoption?
Why it matters: Responsible AI builds trust, reduces harm, and aligns innovation with values.
Curiosity & Experimentation
Is there a culture of testing, learning, and adapting with new tools?
Why it matters: Experimentation helps organizations discover what works and adapt quickly.
Enabling Structures
Are the systems, governance, and resources in place to sustain progress?
Why it matters: Lasting transformation requires structures that support momentum and accountability.
Curious about how AI² translates into real world solutions? Explore our AI² blog series for stories, insights, and practical strategies leaders can apply today.