AI Readiness Assessment Framework
Our proven 7-pillar methodology for evaluating organizational AI readiness. Based on IIA, ISACA, and NIST standards. Download templates, scoring rubrics, and implementation guides - completely free.
Licensed under Creative Commons Attribution 4.0 - Use freely with attribution
The 7-Pillar Methodology
Our framework evaluates your organization across seven critical dimensions of AI readiness. Each pillar is scored on a 1-5 scale, providing a comprehensive view of your strengths and opportunities.
Strategy & Vision
Clear AI strategy aligned with business objectives, executive sponsorship, and defined success metrics.
Key Assessment Questions:
- Does leadership have a clear vision for AI adoption?
- Are AI initiatives aligned with business strategy?
Data Infrastructure
Quality data that is accessible, organized, and ready for AI applications.
Key Assessment Questions:
- Is your data clean, accurate, and well-organized?
- Do you have centralized data storage and governance?
Technology & Tools
Modern technology stack capable of supporting AI workloads and integrations.
Key Assessment Questions:
- Do you have cloud infrastructure or scalable computing?
- Are your systems API-enabled for integration?
People & Skills
Team members with AI literacy and skills to implement and manage AI solutions.
Key Assessment Questions:
- Do employees understand AI basics and potential?
- Do you have technical talent for AI implementation?
Processes & Governance
Documented processes and governance frameworks for responsible AI deployment.
Key Assessment Questions:
- Are business processes documented and optimized?
- Do you have AI governance policies in place?
Culture & Change Management
Organizational culture that embraces innovation and manages change effectively.
Key Assessment Questions:
- Is the organization open to innovation and change?
- Do employees feel supported during transitions?
Ethics & Compliance
Ethical AI practices and compliance with relevant regulations and standards.
Key Assessment Questions:
- Do you have ethical AI guidelines?
- Are you compliant with data privacy regulations?
How Scoring Works
Not Ready
Significant gaps exist. Foundation work needed before AI adoption. Focus on building basic capabilities.
Developing
Basic capabilities in place. Ready for small pilot projects. Strengthen foundations while experimenting.
Ready
Strong foundation established. Ready for scaled AI implementation. Focus on optimization and innovation.
💡 Interpretation Tip:
Your overall readiness is not an average - it's determined by your weakest pillar. AI transformation requires strength across all dimensions. Identify and address gaps systematically.
What's Included in the Framework
Assessment Template
Excel and Google Sheets templates with built-in scoring and visualization
Scoring Rubric
Detailed criteria for evaluating each pillar with examples and benchmarks
Implementation Guide
Step-by-step instructions for conducting assessments and interpreting results
How to Use This Framework
Download the Template
Get the Excel or Google Sheets version of our assessment template.
Gather Stakeholders
Include representatives from IT, operations, leadership, and key business units.
Evaluate Each Pillar
Use the scoring rubric to assess your organization's current state for each of the 7 pillars.
Identify Gaps
Review your scores to identify strengths and areas needing improvement.
Create Action Plan
Prioritize improvements and develop a roadmap for strengthening weak areas.
Want Expert Guidance?
While this framework is free and comprehensive, many organizations benefit from professional facilitation and customized recommendations.
Using This Framework?
This framework is licensed under Creative Commons Attribution 4.0. You're free to use, modify, and distribute it - just provide attribution.
Suggested Attribution:
"AI Readiness Assessment Framework by HiVergent AI (hivergentai.com) - Licensed under CC BY 4.0"