Service 06
Governance, Privacy and Responsible AI
GDPR/CCPA and data sovereignty, access controls, data quality automation, human oversight of AI.
The problem
Regulation is moving faster than the data stack.
Privacy obligations, data residency requirements and new AI rules all land on the data team. Ownership is unclear, access is broader than it should be, and AI ships without anyone accountable for oversight. Governance has to be built into the systems, not added as a document afterwards.
What we build
Controls built into the systems.
Consent, deletion and data subject requests handled in the pipelines, in line with GDPR and CCPA.
Architecture that keeps data in the regions it belongs, such as US and EU separation.
Least-privilege, role-based access with audit trails across your data platform.
Checks and ownership that catch problems at the source, not in the boardroom.
Review processes, documentation and human-in-the-loop controls for AI systems.
Clear owners, definitions and lineage for the data that matters most.
How we engage
A fixed-scope review of privacy, access, data quality and AI oversight against your obligations.
1–4 engineers in your team to build the controls into your platform.
Example deliverables
- Privacy and data subject request workflows
- A role-based access model with audit logging
- Automated data quality checks with owners
- An AI oversight process and documentation
- Handover to your data and security teams
Typical stack
- Your cloud
- Your warehouse
- Access management
- Data catalog and lineage
- Data quality tooling
- Policy as code
- Python
- SQL
We work with the tools you already run.
Related services
Book a call
Tell us what you are trying to ship.
A 30 minute call with us. We will tell you plainly whether we can help.
Or email info@7data.io