Start with the decision or workflow
Define who will use the output, what decision it supports and which business owner is accountable. This keeps data preparation tied to an operational purpose rather than a broad desire to use AI.
Map data ownership and access
Identify source systems, owners, permissions, sensitivity, retention and update frequency. A useful readiness assessment includes the integration effort required to access data safely and reliably.
Test quality against the use case
Completeness, consistency, timeliness and labelling requirements differ by workflow. Use representative samples and document where human review or remediation is required.
References and further reading
Official and independent guidance used to support this practical overview. Product capabilities and pricing can change; verify current provider documentation before making a final decision.