AI Readiness Checklist
A practical checklist for teams evaluating whether AI is ready to move from exploration into real workflows, products, and business operations.
Before AI becomes useful, the operating conditions need to be clear.
AI creates value when it is connected to real business problems, trusted data, usable workflows, and responsible adoption. This checklist helps teams evaluate whether they are ready to move from interest to implementation.
Six areas of readiness.
Check what's already true today. Your score, readiness band, and suggested next step update as you go — nothing is saved or sent.
01Business Fit
0/402Workflow Clarity
0/503Data & Knowledge Readiness
0/504Technical Integration
0/505Governance & Risk
0/506Adoption & Measurement
0/5How to use the result.
The score points to a starting move. Match where you landed to the most useful next step.
If the problem is still unclear
Start with an AI opportunity workshop or discovery sprint.
If the workflow is clear but data is scattered
Start with data and knowledge readiness.
If the use case is strong
Start with a controlled prototype.
If adoption risk is high
Start with user workflow design and governance.
Where to go from here.
Ready to evaluate an AI opportunity?
Tell us what you are exploring. We'll help you identify whether the idea is ready for discovery, prototype, or implementation.