AI Readiness Framework
A technical methodology for evaluating organizational AI maturity. Based on IIA, ISACA, and NIST standards.
Licensed under CC BY 4.0 — Open Source Methodology
The Methodology
7 Pillars of Operational Readiness
Strategy & Vision
Clear AI strategy aligned with business objectives, executive sponsorship, and defined success metrics.
Assessment Logic
- 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.
Assessment Logic
- 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.
Assessment Logic
- 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.
Assessment Logic
- 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.
Assessment Logic
- 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.
Assessment Logic
- 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.
Assessment Logic
- Do you have ethical AI guidelines?
- Are you compliant with data privacy regulations?
Scoring Rubric
Capability Maturity Model
Technical Deficit
Fundamental gaps in infrastructure and governance. Focus on building technical debt mitigation strategies.
Operationalizing
Basic frameworks active. Ready for isolated agentic pilots. Focus on integration and observability.
Agentic Ready
Scalable architecture established. Ready for autonomous swarms. Focus on optimization and cognitive load management.
Architectural Principle
Readiness is determined by your weakest pillar. AI transformation is a chain; it only scales at the speed of its most constrained component.
Resource Bundle
Framework Deliverables
Technical Template
Automated scoring models for Excel and Google Sheets.
Pillar Rubric
Deep-dive criteria for evaluating enterprise-grade AI maturity.
Deployment Guide
Operational roadmap for implementing findings across the org.
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.
Need Expert Protocol Implementation?
While the framework is open-source, many enterprises require technical facilitation and bespoke architectural 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"