AI Compliance, Governance & Standards
Making AI Compliance Understandable
Navigate AI Compliance
EU AI Act
AI Governance
AI Risk Management
AI Standards
Understand obligations, risk classification, requirements and compliance.
Build accountability, policies, roles and governance structures.
Identify, assess, mitigate and monitor risks throughout the AI lifecycle
Understand ISO, IEC, CEN and CENELEC standards supporting trustworthy AI
Build Trustworthy AI Governance
Four Pillars of AI Governance
AI Governance
AI Risk Management
AI Compliance
AI Lifecycle
Define roles, responsibilities, and oversight mechanisms for AI systems.
Implement continuous processes for identifying, assessing, and mitigating AI-specific risks.
Ensure adherence to statutory obligations, technical documentation requirements, and ethical guidelines.
Integrate governance and compliance throughout the entire AI system development lifecycle.
prEN 18286 – AI Quality Management System
Requirements for AI Quality Management System (QMS) aligned with EU AI Act.
prEN 18228 – AI Risk Management
Framework for AI risk management and assessment across the AI lifecycle.
ISO/IEC 42001 – AI Management System
International standard for establishing, implementing and maintaining an AIMS.
ISO/IEC 23894 – AI Risk Management
Guidance on managing AI risk to support responsible and trustworthy AI development.
The Standards Behind AI Compliance
Technical Standards for Trustworthy AI
AI-enabled medical devices sit on the intersection of the EU MDR, the EU AI Act and AI standards.
Practical guidance for organisations developing, assessing and maintaining AI-enabled medical devices.
Stay Ahead
Access downloadable legal templates, compliance checklists, and technical documentation frameworks.