Adopt ISO/IEC 42001 with Fruggr
ISO/IEC 42001 is the world’s first internationally recognized certifiable standard for AI management systems. For organizations deploying AI at scale, it provides a structured, auditable framework for governing AI responsibly across the entire organization.
Fruggr’s Sustainable AI cockpit
gives your teams a clear and operational path to adopt
the standard by helping you:
- Establish and document an AI Management System aligned with ISO/IEC 42001 requirements
- Inventory all AI systems in use and assess their associated risks
- Implement governance policies, controls, and review cycles at both organizational and use-case level
- Generate the audit-ready documentation required for third-party certification
What is ISO/IEC 42001?
Published on December 18, 2023 by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC), ISO/IEC 42001 is a globally recognized management system standard providing a comprehensive framework to systematically address and control the risks associated with developing and deploying AI systems. At its core, it establishes international foundational practices for organizations to develop AI responsibly and effectively, while promoting public trust through a standard that can be certified by an accredited third-party body.
ISO/IEC 42001 is designed to be adaptable across different organizational contexts and applicable to any entity that develops, deploys, or uses AI systems, regardless of sector or size. While the standard is voluntary, it is increasingly referenced in regulatory frameworks, including the EU AI Act, and is expected to play a defining role in AI governance the way ISO/IEC 27001 has set the benchmark for information security management.
What are organizations responsible for doing?
Adopting ISO/IEC 42001 requires both organization-level and use-case-level governance. Organizations must not only establish overarching structures and policies but also embed the standard’s principles into the development and deployment of each individual AI system. Key obligations include:
- AI Policy: Defining and documenting an organizational AI policy that reflects the organization’s commitment to responsible AI development, assigns accountability, and sets objectives aligned with the standard’s requirements.
- Risk Assessment and Treatment: Establishing a systematic process to identify, evaluate, and treat risks associated with AI systems throughout their lifecycle, including a documented risk treatment plan with selected controls and evidence of implementation.
- AI Objectives and Planning: Setting measurable AI governance objectives, determining the resources needed to achieve them, and maintaining documented plans for how those objectives will be met and monitored over time.
- Operational Controls: Implementing and maintaining the processes, controls, and documentation required to manage AI-specific risks at the use-case level, covering design, development, testing, deployment, and ongoing monitoring of each AI system.
- Performance Evaluation: Conducting regular monitoring, measurement, analysis, and evaluation of the AI management system’s effectiveness, including internal audits and management reviews at planned intervals.
- Continual Improvement: Identifying and acting on nonconformities and opportunities for improvement, ensuring the AI management system evolves in line with changing risks, regulatory requirements, and organizational context.
Find out how ISO/IEC 42001 applies to your organization.
How Fruggr supports your ISO/IEC 42001 adoption
Build and centralize your AI system inventory
Fruggr’s automated connectors collect structured data across your IT ecosystem, giving you a centralized, up-to-date inventory of all AI systems in use across your organization. Each system is documented with its usage context, data inputs, risk indicators, and governance status, providing the foundational register required by ISO/IEC 42001 and the evidence base needed for third-party certification audits.
Implement a certifiable AI management system
Fruggr’s Sustainable AI cockpit lets you define and enforce AI governance policies, assign ownership, configure review cycles, and document control implementation at both organizational and use-case level. The platform covers the full scope of ISO/IEC 42001’s operational requirements, from risk assessment and treatment planning through performance monitoring and management review, all within a single auditable environment aligned with the standard’s structure.
Generate audit-ready reports and certification evidence
When the time comes to demonstrate conformity to an accredited certification body, Fruggr’s reporting module transforms your governance and assessment data into structured, exportable documentation. Risk assessment records, control evidence, AI system documentation, and internal audit logs are consolidated automatically, reducing manual reporting effort by over 60% and ensuring your organization is prepared for certification at every stage of the audit process.
Frequently asked questions
What is the origin of ISO/IEC 42001?
ISO/IEC 42001 was developed by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) in response to the rapid growth of AI and the absence of a globally interoperable governance standard. Drawing on the established structure of ISO management system standards such as ISO 9001 for quality management and ISO/IEC 27001 for information security, the standard was published on December 18, 2023 and represents the first certifiable international framework specifically designed for AI management systems.
Who does ISO/IEC 42001 apply to?
The standard applies to any organization that develops, deploys, or uses AI systems, regardless of its size, sector, or geographic location. It is designed to be adaptable to a wide range of organizational contexts, from enterprises building proprietary AI models to organizations deploying third-party AI tools in their operations. Both providers and users of AI systems can benefit from adopting the standard and seeking certification.
What is an AI Management System (AIMS)?
An AI Management System is the set of structures, policies, processes, and controls an organization establishes to manage the risks and impacts associated with its AI activities. ISO/IEC 42001 provides the requirements and guidance for establishing, implementing, maintaining, and continually improving an AIMS. Unlike one-off audits or point-in-time assessments, an AIMS is designed to be an ongoing, organization-wide governance capability.
How does ISO/IEC 42001 relate to the EU AI Act?
The two frameworks are complementary. ISO/IEC 42001 is a voluntary international standard, while the EU AI Act is a binding regulation with legal obligations and financial penalties for non-compliance. Several organizational requirements under the EU AI Act, including the establishment of a risk management system, maintenance of technical documentation, and integration of human oversight, mirror those found in ISO/IEC 42001. Organizations that adopt the standard are therefore well positioned to meet a significant portion of their EU AI Act obligations.
What documentation and processes are needed for ISO/IEC 42001 certification?
Organizations seeking certification must demonstrate: a documented AI policy and defined governance responsibilities, a systematic risk assessment and treatment process with evidence of control implementation, documented AI objectives and plans, records of operational controls applied to individual AI systems, internal audit reports and management review records, and a documented process for managing nonconformities and driving continual improvement. All documentation must be maintained, controlled, and made available to the certifying body during the audit process.
Govern your AI responsibly, starting now
ISO/IEC 42001 certification is increasingly becoming a mark of competitive differentiation,
a signal to clients, regulators, and partners that your organization takes AI governance seriously.
The earlier you build the infrastructure, the smoother the path to certification.