AI Readiness - elait.com

How to use it: For each question, click the box that best describes you today, and your five scores will automatically add up to a total out of 20.

Data Accessibility

Multiple disconnected silos, no integration layer

Some integration, significant gaps remain

Most data accessible, manual intervention needed

Unified, accessible, available to downstream systems on demand

Data Quality Consistency

Inconsistent formats, missing values, no quality controls

Quality varies significantly by system

Generally reliable, but not systematically governed

Quality monitored, measured and consistently maintained

Data Governance Lineage

No formal governance, ownership unclear

Governance exists on paper, inconsistently applied

Framework in place, lineage partially documented

Full lineage, clear ownership, audit-ready

Labelling Structure for AI

How mature is your data labelling and structure for AI applications?

Primarily designed for human use, minimal or no AI-specific labelling

Some labelling in place, but incomplete or inconsistent

Partially structured and labelled for AI, with notable gaps

Consistently labelled, well-structured, and validated for AI use

Organisational Readiness

No dedicated data ownership or AI data strategy

Awareness but no accountability or roadmap

Roles and roadmap defined, execution underway

Data strategy embedded, resourced, aligned to AI goals

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Your Data Readiness Score

0/20

Dimension Breakdown

What your score means

Want to know what would move your score? Email us for a 20-minute Data Readiness conversation — no commitment, just clarity on where the gaps are and what it takes to close them.

Is your data ready for AI?