FOUNDATIONS / DATA

Data your business can rely on.

We check whether the information needed for a specific use case is available, trustworthy, permitted, and connected to the right context.

Illustrative image of people involved in AI readiness.
THE FOUNDATIONTrusted information. Clear context.

THE ASSESSMENT

Listen. Review.
Make the gaps visible.

01

What we assess

  • Source ownership, quality, coverage, and freshness.
  • Identifiers, context, lineage, and access permissions.
  • Integration paths and whether data is suitable and permitted for the intended use.
02

Documents needed

  • Data catalogue or source inventory and sample records.
  • Data definitions, quality reports, retention rules, and access policies.
  • System and API documentation, integration maps, and source-owner details.
03

Typical readiness gaps

  • Conflicting records or unmatched identifiers across systems.
  • Unclear ownership, stale information, or missing evaluation data.
  • Data exists, but access or permitted use for the pilot is unresolved.
04

What we deliver

  • Use-case data readiness profile and source map.
  • Prioritised quality, access, and integration preparation backlog.
  • Data ownership, freshness, and acceptance criteria for the pilot.

The next decision: which sources can support the first workflow, and what must be prepared before it starts?

Assessment scope is agreed for your business and the workflow you want to improve. Gaps shown here are examples, not findings about your company.

MOVE FORWARD WITH CLARITY

A stronger foundation. A clearer next move.

Start with one business question. We’ll help identify the evidence and preparation needed.