AI Readiness Assessment
Questions leaders should answer before they scale AI.
Definition
An AI readiness assessment is a structured review of people, process, data, governance, and technology readiness for AI adoption.
Why it matters
It helps leaders avoid expensive adoption mistakes and focus on the actual gaps that need attention.
Common challenges
Teams often underestimate data quality, governance, change management, and workflow readiness.
Practical framework
Evaluate readiness across leadership, data, operating model, and adoption capability, then prioritize the biggest gaps.
Executive checklist
- Review leadership alignment.
- Check data readiness.
- Assess governance maturity.
- Map workflow readiness.
- Identify the first low-risk use cases.
Need help facilitating the assessment?
Book Darren for a workshop or keynote that frames the readiness conversation.
Book Darren