Data & AI Governance

Governance that enables, not just controls

Data and AI governance has moved from a compliance checkbox to a genuine strategic imperative. Regulatory requirements are expanding — PDPA, Singapore's Model AI Governance Framework, the EU AI Act, ISO 42001 — and boards are increasingly being held accountable for how their organisations use data and AI. Getting governance right protects the organisation. Getting it wrong creates material risk.

EagleView's governance advisory starts from the position that good governance should be an enabler of data and AI value — not a bureaucratic overlay that slows things down. The frameworks and structures Mark designs are practical, proportionate, and built to be lived in, not left on a shelf.

What this service covers

• Enterprise data governance framework design and implementation — policies, standards, data ownership models, stewardship structures, and operating committees
• AI governance framework development — responsible AI principles, model risk management, algorithmic accountability, and explainability standards
• Regulatory compliance advisory — Singapore PDPA obligations, Model AI Governance Framework (IMDA/PDPC), EU AI Act implications, ISO 42001 alignment, and MAS technology risk guidelines
• Data and AI audit readiness — supporting organisations preparing for internal or external reviews of their data management and AI practices
• Data classification and privacy frameworks — supporting data minimisation, purpose limitation, and consent management under Singapore and international privacy law
• Board-level AI risk briefings — translating regulatory and governance complexity into language and frameworks that boards can act on

Singapore expertise, APAC perspective

Mark Burnard is a published author on data governance and has worked extensively with organisations navigating Singapore's regulatory environment — including PDPA compliance, MAS technology risk guidelines, and the Model AI Governance Framework. He brings an APAC-wide perspective on how governance frameworks translate across jurisdictions, with experience across financial services, government, and infrastructure sectors.

As international AI regulation accelerates — with the EU AI Act setting a global benchmark — organisations with APAC regional headquarters in Singapore face increasing pressure to align their AI governance with international standards. EagleView provides the advisory expertise to navigate that landscape.

Who this is for

• Organisations in financial services, technology, and infrastructure with complex data governance and AI compliance requirements
• Boards that need independent counsel on AI risk and governance policy
• Organisations preparing for data or AI audits — internal, external, or regulatory
• Companies deploying AI systems that face model risk management or algorithmic accountability requirements
• APAC regional businesses navigating the intersection of Singapore, EU, and international AI regulation