Data & AI governance
Clarify ownership, identify risks and turn policy into practical actions. Tiles guides the work around your organisation’s goals, context and evidence.
Tiles helps teams assess and design how data and AI are owned, managed and reviewed. Guided workflows cover governance maturity, data quality, responsible AI, classification and operating models. Outputs include proposed responsibilities, controls, risk records and improvement plans for your organisation to validate.
Bring policies, ownership records, quality reports and current processes. A governance or data quality assessment helps connect gaps to their business impact, distinguishing available evidence from assumptions and areas requiring further investigation.
Use Data Governance and Responsible AI to define proposed ownership, review points and controls. Specialist workflows also support Collibra operating model planning and data classification. Align recommendations with your existing policies and responsible stakeholders.
Create a prioritised backlog with actions, owners and acceptance evidence. Tiles also includes an Autonomous Data Steward workflow for separately configured monitoring, with connection, rule testing and scheduler setup required before ongoing checks are enabled.
Before you begin
No. Tiles supports governance planning and evidence-based review. It does not provide certification or replace legal, regulatory or independent assurance advice.
Yes. Add your policies and relevant source excerpts to the customer context, then select them for the work you are completing. Review proposed controls against the authoritative policies before use.
Keep moving forward
See how Tiles can support your team with data & ai governance.