Download our brochure: FAIR + CLEAR, nine criteria for AI-ready data

In one 30-minute call, see where your data stands for AI, and what to check first. We score one domain with you on nine criteria; the call is free and the scorecard is yours.

AI pilots fail quietly when one term means different things in different systems. This two-page brochure sets out the FAIR + CLEAR lens we score with, and what the score gives you.

What is inside

Page one is the lens on one page:

• FAIR, the foundation: Findable, Accessible, Interoperable, Reusable.
• CLEAR, the AI-readiness extension: Correct and complete, Lineage and context, Explicit semantics, Accountable governance, Representative.
• Where to start: the FAIR Interoperability Assessment now (four to six weeks), a Proof of Value next (about three months), then scaling and grounding AI, domain by domain (six to twelve months).

Page two is the maturity framework: for each criterion, what it means and the question to ask, such as “Does each core term mean the same thing in every system?” or “Can you trace an AI answer to its source?”. Each criterion is scored with your team, on evidence, per data domain, from 1 (Performed) to 5 (Optimised).

The score gives you three things: the gaps between your data and your AI use case, ranked by impact; a target level for each criterion that fits the AI you plan, not level 5 everywhere; and a roadmap from pilot to scale that you can fund.

FAIR + CLEAR is Meaningfy’s synthesis, informed by the FAIR principles, EU AI Act Article 10 and the CMMI Data Management Maturity levels. It is a working lens rather than a standard.

Who it is for

Anyone who must decide whether a data domain is ready for the AI planned on it, and what to fix first.

Talk it through with us

The brochure is the summary; the useful part is the conversation that follows it. Score one domain with us in a free 30-minute call and keep the scorecard. If you then want the full assessment, we credit its fee when a Proof of Value starts within 90 days.