Artificial Intelligence is accelerating innovation, but it also introduces regulatory, ethical, and operational risks. Organisations deploying or developing AI must now demonstrate that their systems are lawful, transparent, secure, and trustworthy by design.

  • Three frameworks define the new AI governance landscape:
    EU AI Act - a risk-based legal framework governing the use and deployment of AI systems
  • ISO/IEC 42001 - the international standard for Artificial Intelligence Management Systems (AIMS)
  • GDPR – the foundation for lawful and ethical use of personal data in AI
    Together, they form a Unified AI Compliance & Governance Operating Model, covering the full AI lifecycle - from design and data to deployment, monitoring, and accountability.
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The New AI Regulatory Reality

The EU AI Act classifies AI systems by risk and imposes strict obligations on high-risk use cases, including risk management, human oversight, technical documentation, transparency, logging, and post-market monitoring.

ISO/IEC 42001 translates these legal obligations into a structured, auditable management system, defining how organisations govern AI in practice through policies, controls, impact assessments, and continuous improvement.

GDPR remains fully applicable wherever AI systems process personal data, requiring lawful basis, transparency, data minimisation, safeguards for automated decision-making, and documented accountability.