The challenge
Organisations rush to AI and analytics on top of ungoverned data, then wonder why outputs cannot be trusted, regulators get nervous and initiatives quietly stall. Governance is the foundation everyone skips.
How I approach it
A clear path to a usable result
01
Define ownership
Clear data ownership, stewardship and decision rights so accountability for data is explicit.
02
Set quality and access
Standards for data quality, access and privacy that protect the business without strangling it.
03
Embed the policy
A governance operating model that lives in the organisation rather than a binder nobody opens.
What's included
Deliverables
Data ownership & stewardship modelQuality, access & privacy standardsGovernance operating modelPolicy and compliance alignmentGovernance rollout plan
Typical timeline
4–8 weeks
Engagement
Advisory engagement
Proven outcomes
What this has delivered
Signed-off results from comparable engagements — not projections.
Trusted
Data foundation
Audit
Ready compliance
Scale
Safe to build on
Frequently asked
Related Digital services
Build the trust layer first
If your AI and analytics keep stalling on data trust, let’s put the governance foundation in place.