AI Readiness Checklist
A practical checklist for assessing how ready your data environment is to support reliable AI.
It covers the six areas that determine how reliably AI produces trustworthy results:
- Workspace governance
- Documentation
- Semantic model quality
- Access controls
- AI configuration
- Operational readiness
Two versions are available: one for Microsoft Fabric environments, and one written for any enterprise data platform.
If you want a structured evaluation of where your environment stands, the AI Readiness Assessment works through these areas in detail and gives you a prioritised plan.
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