Data strategy & governance
Before a model, an organisation needs to know what its data means, who is accountable, and which uses are permitted. We write that down so AI work has somewhere honest to stand.
When ownership is unclear and AI work has nowhere honest to stand.
What the work covers
- Data strategy tied to decisions, not a framework poster
- Ownership, catalogues and shared definitions
- AI readiness that includes refusal criteria
- Advice your internal team can keep using
What you leave with
- A data strategy tied to decisions
- Named owners and shared definitions
- Refusal criteria, written down