Key takeaways
Last updated
The AI Readiness Checklist evaluates six dimensions before a pilot starts: business clarity, workflow readiness, data condition, systems condition, governance, and first use case fit.
Most failed AI pilots were unready in a dimension nobody assessed. The checklist exists to surface that gap while it is still cheap to fix.
It is designed for self-assessment by a leadership team in a single working session, not for a consulting engagement.
Frequently Asked Questions
Common questions about AI Readiness Checklist
Six dimensions: clarity on the business problem, readiness of the workflow being changed, quality and accessibility of the data, condition of the systems involved, governance and risk posture, and whether the intended first use case matches current capability.
A leadership team can work through it in a single session of about 90 minutes. Gathering evidence for the data and systems sections honestly usually takes longer than the discussion itself.
Poor scores identify sequencing, not disqualification. Low data readiness means data work comes before the pilot. Low governance readiness means policy and review gates come first. The checklist is designed to order the work rather than block it.
The checklist is a self-guided PDF for a leadership discussion. The online AI Readiness Assessment is a scored 30-question diagnostic that produces a maturity level and a roadmap tailored to your industry.
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