The AI Readiness Framework
A practical way to evaluate whether your organization is ready to deploy AI in production — across decisions, data, governance and people, not just technology.
The reframe
AI readiness is not a technology score
Most AI readiness assessments grade infrastructure, model access and skills. None of those things explain why most AI pilots stall before production. The real gap is decisions that nobody owns, data that nobody trusts, and governance that exists on paper but not at the point of use. This framework grades those.
The four dimensions
Where AI readiness actually lives
- Decision readiness. Are the decisions you want AI to improve named, owned and measured?
- Data product readiness. Do trusted, governed, reusable data products exist for those decisions?
- Governance readiness. Are policies and obligations applied at the moment of decision, for both humans and AI agents?
- People readiness. Do you have the Purple People — business leaders fluent in data, and data leaders fluent in the business — to make AI safe to use?
How to apply it
Score, expose, prioritize
Score each dimension honestly per business domain. The lowest score is your real AI bottleneck — and almost never the one the technology roadmap is focused on. Use the result to direct the next 90 days of investment.
Executive Checklist
What good looks like
AI investment is anchored to named decisions
No AI use case is approved without a decision owner and a measurable outcome.
Trusted data products exist for those decisions
Every production AI use case consumes a certified, owned data product.
Governance is active at the point of decision
Both humans and AI agents see policy, lineage and obligations in the moment.
Bring this into your business
Use this thinking with your team in a focused working session — naming the decisions that matter, the data products that support them, and the governance posture required to move.
Start an AssessmentDM Cameron for an executive deep dive, a discussion of the possible, or a general chat about where your data and decisions are heading.
DM John to discuss moving to a decision-driven organization — from where you are today to measurable outcomes.