Data Governance Consultant — Pragmatic Governance for AI
Governance the business will respect. Built specifically to enable AI, not to slow it down.
Most governance programmes fail because they try to do too much. We focus on the small set of decisions that AI actually depends on — and write them down clearly, with named owners, so the business will follow them.
Five things to get right first
Ownership of critical data. A short list of what's actually critical. Access and sensitivity in plain language. An agreed view of quality. Clear decision rights for changes and incidents.
Governance that scales with you
We start small — a policy on a page, not a binder — and grow it as the business and AI footprint grow. Tooling decisions come later, once the operating model is proven.
Made to enable AI
Governance is the difference between AI use cases that ship safely and ones that get blocked by legal or quietly avoided by the business. Done well, it shortens the path to production.
Outputs
- Critical data inventory with named owners
- Access and sensitivity policy in plain English
- Quality and incident operating model
- AI-specific governance checklist
- A simple operating rhythm to keep governance alive
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