Data & Protection
Data Governance & Protection
Establish data ownership, lineage, quality controls, and access policies that underpin trustworthy AI and meet data sovereignty requirements.
Trustworthy AI begins with trustworthy data. Without robust data governance, AI systems inherit the risks embedded in their training and operational data — bias, inaccuracy, regulatory non-compliance, and operational fragility. Verydion helps organizations build data governance programs that are proportionate, practical, and designed to support AI operations at scale. We work across the full data governance lifecycle — from strategy and operating model design through to policy implementation, data quality frameworks, and lineage tooling — with a particular focus on the data governance requirements that underpin AI systems in regulated environments.
Regulatory Context
GDPR establishes foundational requirements for personal data used in AI systems — including lawful basis, data minimisation, purpose limitation, and rights of data subjects. The EU AI Act introduces additional data governance obligations for high-risk AI systems, including requirements for training data quality, relevance, and representativeness. Sector-specific regulations in financial services (BCBS 239, EBA guidelines), healthcare (MDR, IVDR), and public sector add further layers of data governance obligation.
All Services
Scope of Engagement
What We Deliver
Data Governance Strategy & Operating Model
Design of a data governance operating model — defining roles, accountabilities, decision rights, and governance structures from board level to operational data stewardship.
Data Ownership & Stewardship Framework
Establishment of data ownership and stewardship roles, responsibilities, and processes — ensuring clear accountability for data quality, access, and lifecycle management.
Data Quality Framework
Design and implementation of data quality standards, measurement frameworks, and remediation processes — with particular focus on AI training and operational data.
Data Lineage & Cataloguing
Implementation of data lineage tracking and data catalogue capabilities — providing visibility into data provenance, transformations, and usage across AI systems.
GDPR & AI Act Data Compliance
Assessment and remediation of data governance practices against GDPR and EU AI Act data requirements — including training data documentation and data subject rights processes.
Data Governance Maturity Assessment
Structured assessment of current data governance maturity against industry frameworks — with a prioritized roadmap for capability development.
Ideal For
Who Is This For?
- Organizations building or scaling AI programs that require a trustworthy data foundation
- Financial institutions subject to BCBS 239 or EBA data governance guidelines
- Healthcare organizations managing clinical data for AI model development
- Organizations that have received regulatory findings related to data quality or data governance
- Data and analytics leaders seeking to establish formal data governance programs
- Organizations preparing for GDPR audits or EU AI Act data compliance assessments
Ready to engage?
Speak with a Verydion advisor about how this service applies to your organization.
Start a Conversation