Data & AI Governance
Policies, ownership and controls that keep data and AI compliant and auditable.
- Know who owns each dataset and model.
- Meet privacy and residency rules with evidence.
- Approve AI use faster, with clear criteria.
Common challenges
Unclear data ownership
Teams cannot say who is accountable for which dataset.
Regulatory pressure
Data residency and privacy rules differ across the markets you serve.
Unmonitored AI use
Models reach production without review of risk or bias.
What this service focuses on
Governance framework
Roles, policies and decision rights sized to your organization.
Data quality and lineage
Controls that show where data comes from and whether to trust it.
Responsible AI review
Approval and monitoring steps for models that touch sensitive data.
What you get
- Governance framework and decision rights
- Data catalog and lineage for priority datasets
- AI risk assessment and approval process
- Monitoring plan for data quality and model behavior
How we deliver
Map
Inventory data, models and the rules that apply to each.
Define
Agree roles, policies and risk tiers.
Implement
Put controls, catalog and approval workflow in place.
Sustain
Train owners and review performance on a regular cycle.