AI Readiness Assessment
Evaluate your organization's preparedness to deploy AI successfully—technically, organizationally, and strategically.
Readiness Profile
Assessment Summary
Detailed Recommendations
Click on each question to see tailored recommendations based on your score.
About This Assessment
The AI Readiness Assessment evaluates your organization's preparedness to deploy artificial intelligence successfully—not just technically, but organizationally, ethically, and strategically.
Most organizations rush into AI without foundational readiness. This tool helps you identify gaps before they become expensive failures, and prioritize investments that will have the greatest impact on your AI success.
Framework Sources
This assessment synthesizes best practices from leading AI maturity frameworks and regulatory guidance:
Assessment Dimensions
The assessment evaluates six critical dimensions of AI readiness:
| Dimension | What It Measures |
|---|---|
| Data Foundation | Quality, accessibility, integration, and lineage of data that would feed AI models |
| Technology & Infrastructure | Compute capacity, development processes, tool stack, and security architecture for AI |
| Talent & Skills | Technical talent, business literacy, leadership understanding, and upskilling programs |
| Governance & Risk | Policies, model risk management, bias testing, and explainability capabilities |
| Ethics & Compliance | Regulatory awareness, human oversight, privacy by design, and accountability frameworks |
| Strategy & Use Cases | Strategic alignment, use case pipeline, value measurement, and change management |
Maturity Levels
Each question is rated on a 5-point scale corresponding to maturity levels:
| Score | Level | Description |
|---|---|---|
| 1 | Not Started | No capabilities in place; AI discussions are nascent or non-existent |
| 2 | Exploring | Initial pilots or discussions underway; ad-hoc efforts |
| 3 | Developing | Foundational capabilities being built; some consistency emerging |
| 4 | Established | Consistent practices in place; actively scaling AI initiatives |
| 5 | Optimized | Mature, automated, continuously improving AI capabilities |
Industry Weighting
Different industries have different AI readiness priorities. When you select an industry, dimension weights adjust accordingly:
| Industry | Higher Weight | Rationale |
|---|---|---|
| Financial Services | Governance, Ethics & Compliance | Regulatory scrutiny and model risk requirements |
| Healthcare | Ethics, Data Foundation | Patient safety and data privacy imperatives |
| Retail | Strategy, Technology | Speed to market and customer experience focus |
| Manufacturing | Technology, Data Foundation | Operational technology integration requirements |
Tailored Recommendations
Each of the 24 questions has three tiers of recommendations based on your score:
| Score Range | Recommendation Focus |
|---|---|
| 1-2 (Foundational) | Building basics—essential first steps to establish capability |
| 3 (Scaling) | Standardizing and expanding—moving from pilots to consistent practice |
| 4-5 (Optimizing) | Automating and innovating—advancing mature capabilities further |
This ensures you receive actionable guidance appropriate to your current maturity level—not generic advice that doesn't fit your situation.
Data Privacy
This assessment runs entirely in your browser. No data is collected, stored, or transmitted to any server. Your responses remain completely private and are not saved after you close this page.
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