Building AI Management Systems Aligned with International Standards

As AI adoption accelerates across industries and markets, international standards are shaping how organizations design, govern, and assure AI responsibly at scale.

At the global level, AI governance is increasingly guided by structured management-system approaches that emphasize accountability, risk oversight, transparency, and continual improvement.

Darior helps organizations design and operationalize AI management systems aligned with leading international standards — ensuring consistency across jurisdictions and readiness for regulatory scrutiny.

Leading International Standards

Global AI governance is anchored in internationally recognized standards and policy frameworks that promote structured oversight and risk management.

These include:

  • ISO/IEC 42001 – AI Management System

  • ISO/IEC 23894 – AI Risk Management Guidance

  • OECD AI Principles and related international policy frameworks

Together, these standards provide a structured foundation for organizations seeking scalable, auditable, and internationally aligned AI management systems. Rather than one-time compliance, they emphasize systematic governance embedded across the AI lifecycle.

Global AI Governance and Management Systems

Effective global AI governance requires more than isolated controls or one-time compliance efforts. It requires a structured AI management system embedded into organizational strategy, operations, and oversight.

Internationally aligned AI management systems typically include:

  • Clearly defined governance roles and accountability structures

  • Formalized AI risk identification and impact assessment processes

  • Lifecycle oversight, monitoring, and performance evaluation

  • Documented policies, procedures, and evidence management

  • Independent review and assurance mechanisms

  • Ongoing management oversight and continual improvement

These elements create a repeatable, auditable foundation for responsible and scalable AI deployment across jurisdictions.

 FAQs

    1. Demonstrates global credibility — shows regulators, partners, and customers that your AI management system meets the world’s first international AI standard.

    2. Strengthens stakeholder confidence — certification provides independent validation of your organization’s commitment to safe, transparent, and trustworthy AI.

    3. Supports regulatory readiness — aligns with major AI laws and frameworks, including the EU AI Act, U.S. standards such as NIST’s AI Risk Management Framework and TEVV guidance, and Korea’s AI Basic Act (2026).

    4. Improves competitive positioning — differentiates your organization in global markets and supply chains where AI governance is becoming a requirement.

    5. Drives continuous improvement — ensures ongoing monitoring, audits, and updates to keep your AI practices effective and resilient.

  • Any organization that develops, uses, or manages AI can benefit from ISO/IEC 42001. Certification provides a structured way to manage risks, build trust, and demonstrate accountability. The framework is scalable and adaptable, making it relevant across industries and regions.

  • Yes. ISO/IEC 42001 is built on the same high-level structure used by other ISO management system standards, which makes integration straightforward. Organizations can align it with frameworks such as ISO/IEC 27001 (information security), ISO 9001 (quality management), and others to create a unified, efficient approach to governance.

  • The first step is to define the scope of your AI Management System (AIMS), including its objectives and the risks it needs to address. From there, a gap analysis helps identify where current practices fall short of ISO/IEC 42001 requirements. Closing those gaps typically involves developing or updating policies, controls, and processes to meet the standard. Partnering with experienced AI governance consultants can make the journey more efficient and ensure your organization is audit-ready.