Anatomy
What a data contract defines.
Eight commitments, made explicit and enforceable rather than assumed and documented somewhere nobody reads.
Data ownership
Who is responsible for the data and its ongoing quality?
Business semantics
What does each field, entity and metric actually mean?
Schema
What structure should consumers expect?
Quality
What constitutes acceptable data and how is it measured?
Availability
When should the data be available and how reliable must that availability be?
Lineage
Where did the information originate and how was it transformed?
Versioning
How are changes introduced without breaking downstream consumers?
Controls
What validation, security and governance rules apply?
Why it matters
AI amplifies whatever is underneath it.
AI systems amplify both the strengths and weaknesses of the information underneath them. A trusted AI application requires predictable information inputs.
Data contracts turn data from an informal dependency into an engineered product.
Our approach
Next step
Assess your critical data domains
Understand which data domains need formal contracts before they can support AI, analytics or operational reporting.