AI StrategyPDF · 1 pages · 27 KBPublished March 2026
AI Data Readiness Checklist
AI is only as good as the data it can access. Most organizations have the data they need. It is just trapped in silos nobody mapped. This checklist covers the 8 areas that determine whether your AI deployment succeeds or quietly fails: inventory, quality standards, cross-department sharing, governance, API access, PII classification, lineage tracking, and ongoing review.
What's Inside
- 8-item data readiness assessment for AI deployment
- Data silo identification and cross-department sharing gaps
- PII and sensitive data classification requirements
- Data lineage tracking from source to AI model input
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