ISO 42001: AI Risk Management
Published in late 2023, ISO/IEC 42001 is the first international standard dedicated to the governance of artificial intelligence systems. It structures an AI management system (AIMS) to control risks, demonstrate your commitment, and prepare for compliance with the AI Act European AI Act.
Why is this standard emerging now?
Artificial intelligence has entered business processes much faster than control frameworks. Recruitment, credit scoring, medical diagnosis, fraud detection, generative assistants: all these uses create new risks (bias, opacity of decisions, training data leaks, model drift in production).
Published in December 2023, ISO/IEC 42001 addresses this need by establishing the first international management framework for AI governance. It does not replace regulation: it prepares for it. Where the AI Act European AI Act sets legal obligations by risk level, ISO 42001 provides the internal organizational system that enables you to address them concretely, in a documented and auditable way. The two are complementary.
Built on the high-level structure common to ISO management standards (such as ISO 27001) and on the PDCA (Plan-Do-Check-Act) continual improvement cycle, it naturally integrates into an existing GRC approach.
What an ISO 42001-compliant AIMS covers
AI governance
Leadership that drives the AI strategy, clear roles and responsibilities, a documented AI policy, and traceable decision-making processes.
AI risk management
Inventory of AI systems, assessment and classification by risk level, mitigation plans and impact analyses, aligned with the logic of EBIOS Risk Manager.
Data management
Training data quality, bias and fairness testing, lifecycle management and documentation, consistent with your obligations under RGPD.
Transparency & control
Documentation of AI decisions, user information, continuous monitoring and robustness testing, with a complete audit trail.
Who is ISO 42001 for?
For any organization that designs, provides, or uses AI systems, regardless of its size. Software publishers and fintechs that integrate models into their products, as well as banks, insurers, healthcare organizations, and public services that deploy AI in their decisions. If your AI systems affect people or sensitive decisions, this standard applies to you. It is particularly relevant for organizations already engaged in an SMSI or subject to sector regulations such as NIS2 or DORA, for which AI governance becomes a natural extension of risk control.
Our support approach
We start from your real AI use cases, not a theoretical framework. We map your systems, assess their risk level, and build an AIMS proportionate to your context: no over-engineering, no tick-box exercise. The goal: a management system that holds up in production, prepares alignment with the AI Act, and withstands an external audit. Our consultants combine risk governance expertise with skills specific to AI, particularly through the certification EXIN Artificial Intelligence Compliance Officer. A resolutely pragmatic approach, without unnecessary theory.
The 9 steps toward ISO 42001 compliance
AI maturity assessment
Assessment of your current practices and gaps against the standard, based on a structured assessment .
Governance implementation
Definition of roles, the AI policy, and decision-making processes, with a clearly identified executive sponsor.
Inventory of AI systems
Listing and characterization of all your AI systems, whether internal or provided by third parties.
Risk analysis
Assessment and classification of risks by system, impact analyses, and prioritization of actions.
Control deployment
Implementation of technical and organizational measures: bias testing, documentation, monitoring, data management.
Mock audit
Verification of your AIMS compliance before certification, through a preparation audit .
Certification & continual improvement
Support for the certification audit by an accredited body, then maintenance and improvement of the system over time.
Documentation & transparency
Creation of the AI systems documentation (purposes, data, limitations, human oversight) expected by the standard and by the AI Act.
Model monitoring
Continuous monitoring of AI systems in production (drift, bias, incidents) to ensure controlled and compliant use over time.
Why choose BCIT for your AIMS?
Dual expertise
Risk governance and AI compliance combined: our consultants master both ISO management standards and the challenges specific to artificial intelligence.
Tailored approach
An AIMS sized for your real use cases and risk level, not a generic framework. Practical fieldwork, not theory.
Estimate the price of your certification
Interactive calculator: company size, sector, additional compliance requirements... get a price range in just a few clicks.
Price estimate
Si la certification n'est pas obtenue en raison de nos actions, nous vous remboursons l'intégralité du montant versé.
Prêt à structurer la gouvernance de votre IA ?
Prenons 15 minutes pour faire le point sur vos usages de l'IA, vos risques et votre niveau de préparation. Nous vous proposerons un accompagnement ISO 42001 réaliste et adapté à votre contexte.
ISO 42001: AI Risk Management
Published in late 2023, ISO/IEC 42001 is the first international standard dedicated to the governance of artificial intelligence systems. It structures an AI management system (AIMS) to control risks, demonstrate your commitment, and prepare for compliance with the AI Act European AI Act.
Why is this standard emerging now?
Artificial intelligence has entered business processes much faster than control frameworks. Recruitment, credit scoring, medical diagnosis, fraud detection, generative assistants: all these uses create new risks (bias, opacity of decisions, training data leaks, model drift in production).
Published in December 2023, ISO/IEC 42001 addresses this need by establishing the first international management framework for AI governance. It does not replace regulation: it prepares for it. Where the AI Act European AI Act sets legal obligations by risk level, ISO 42001 provides the internal organizational system that enables you to address them concretely, in a documented and auditable way. The two are complementary.
Built on the high-level structure common to ISO management standards (such as ISO 27001) and on the PDCA (Plan-Do-Check-Act) continual improvement cycle, it naturally integrates into an existing GRC approach.
What an ISO 42001-compliant AIMS covers
AI governance
Leadership that drives the AI strategy, clear roles and responsibilities, a documented AI policy, and traceable decision-making processes.
AI risk management
Inventory of AI systems, assessment and classification by risk level, mitigation plans and impact analyses, aligned with the logic of EBIOS Risk Manager.
Data management
Training data quality, bias and fairness testing, lifecycle management and documentation, consistent with your obligations under RGPD.
Transparence & contrôle
Documentation of AI decisions, user information, continuous monitoring and robustness testing, with a complete audit trail.
Who is ISO 42001 for?
For any organization that designs, provides, or uses AI systems, regardless of its size. Software publishers and fintechs that integrate models into their products, as well as banks, insurers, healthcare organizations, and public services that deploy AI in their decisions. If your AI systems affect people or sensitive decisions, this standard applies to you. It is particularly relevant for organizations already engaged in an SMSI or subject to sector regulations such as NIS2 or DORA, for which AI governance becomes a natural extension of risk control.
Our support approach
We start from your real AI use cases, not a theoretical framework. We map your systems, assess their risk level, and build an AIMS proportionate to your context: no over-engineering, no tick-box exercise. The goal: a management system that holds up in production, prepares alignment with the AI Act, and withstands an external audit. Our consultants combine risk governance expertise with skills specific to AI, particularly through the certification EXIN Artificial Intelligence Compliance Officer. A resolutely pragmatic approach, without unnecessary theory.
The 9 steps toward ISO 42001 compliance
AI maturity assessment
Assessment of your current practices and gaps against the standard, based on a structured assessment .
Governance implementation
Definition of roles, the AI policy, and decision-making processes, with a clearly identified executive sponsor.
Inventory of AI systems
Listing and characterization of all your AI systems, whether internal or provided by third parties.
Risk analysis
Assessment and classification of risks by system, impact analyses, and prioritization of actions.
Control deployment
Implementation of technical and organizational measures: bias testing, documentation, monitoring, data management.
Mock audit
Verification of your AIMS compliance before certification, through a preparation audit .
Certification & amélioration continue
Support for the certification audit by an accredited body, then maintenance and improvement of the system over time.
Documentation & transparence
Creation of the AI systems documentation (purposes, data, limitations, human oversight) expected by the standard and by the AI Act.
Model monitoring
Continuous monitoring of AI systems in production (drift, bias, incidents) to ensure controlled and compliant use over time.
Why choose BCIT for your AIMS?
Dual expertise
Risk governance and AI compliance combined: our consultants master both ISO management standards and the challenges specific to artificial intelligence.
Tailored approach
An AIMS sized for your real use cases and risk level, not a generic framework. Practical fieldwork, not theory.
Estimate the price of your certification
Interactive calculator: company size, sector, additional compliance requirements... get a price range in just a few clicks.
Price estimate
Si la certification n'est pas obtenue en raison de nos actions, nous vous remboursons l'intégralité du montant versé.
Prêt à structurer la gouvernance de votre IA ?
Prenons 15 minutes pour faire le point sur vos usages de l'IA, vos risques et votre niveau de préparation. Nous vous proposerons un accompagnement ISO 42001 réaliste et adapté à votre contexte.