Before organizations can capture value from AI, they need honest assessment of current readiness. This audit framework helps identify gaps and opportunities:
Technical Readiness
Rate each element from 1 (nonexistent) to 5 (world-class):- Data infrastructure and quality - API integration capabilities - Security and privacy frameworks - Scalability of current systems - Technical talent availability Score Interpretation: - 20-25: Ready for aggressive AI adoption - 15-19: Solid foundation, some gaps to address - 10-14: Significant technical investment needed - 5-9: Focus on fundamentals before AI
Organizational Readiness
- Leadership understanding of AI - Employee openness to change - Learning and development culture - Experimentation tolerance - Cross-functional collaboration Score Interpretation: - 20-25: Culture primed for AI transformation - 15-19: Good foundation with some resistance - 10-14: Cultural work needed before technical - 5-9: Start with education and small wins
Strategic Readiness
- Clear vision for human-AI collaboration - Identified use cases with ROI potential - Budget allocated for AI initiatives - Success metrics defined - Governance frameworks in place Score Interpretation: - 20-25: Strategic clarity enables rapid progress - 15-19: Direction set, details need work - 10-14: Strategy gaps will limit success - 5-9: Need fundamental strategic alignment
Integration Readiness
- Workflow documentation quality - Process flexibility - Change management capability - Training infrastructure - Performance management evolution Score Interpretation: - 20-25: Ready to reimagine work - 15-19: Can adapt with effort - 10-14: Rigidity will slow adoption - 5-9: Major organizational redesign needed