Knowledge HubAI Readiness

The AI Data Readiness Checklist

Seven checks to know whether your data can support an AI project before you spend a euro.

4 min read·Nordic·

Before any AI project, run seven checks: is the data digital, structured, accessible, recent, complete, consistent, and owned by someone? Most SMBs pass five of seven, and the two gaps define the first sprint.

You do not need a data warehouse. You need one clean, well-understood dataset tied to one valuable decision.

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Frequently asked questions

Do I need clean data before starting AI?
You need one usable dataset, not perfect data everywhere. Start narrow around a single high-value process.

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