ISO 42001: implement AI governance
ISO/IEC 42001 is the first international standard dedicated to artificial intelligence management. It structures an AI management system (AIMS): governance, lifecycle, risk control and traceability. We support you from diagnosis to implementation, reusing your existing ISO 27001 foundation instead of starting from scratch.
Why an AI management system?
Deploying AI without a framework means accumulating silent risks: opaque decisions, poorly controlled data, undetected drift. ISO 42001 provides a structured response: an AIMS that organizes governance, defines roles, frames the model lifecycle and establishes continuous supervision.
The standard is built like other management systems (ISO 27001 for security, for example): policies, risk analysis, controls, evidence, continual improvement. It forms the operational foundation for meeting the requirements of theAI Act and integrates naturally with an ISO 27001 ISMS.
What ISO 42001 structures
AI governance
Roles, responsibilities, committees and indicators: who decides what, based on which criteria, and with what human supervision.
The model lifecycle
From design to retirement: data, training, production deployment, monitoring and change management.
AI risk control
Identify, assess and treat AI-specific risks (bias, drift, security), connected to the GRC approach.
Traceability & evidence
AI systems register, flow mapping, documentation: enough to demonstrate compliance during an audit.
A reusable approach
Good news for organizations already committed to security: an ISO 42001 AIMS can be largely shared with an ISO 27001 ISMS. Governance, risk management, statement of applicability (SoA) and the documentation set can be streamlined and shared between the two frameworks: one evidence base, two target certifications, and a trajectory AI Act coherent.
Progressive implementation
Implementing ISO 42001 is a structured and progressive process, whose duration depends on the number of AI systems, existing maturity and available resources. An organization already certified ISO 27001 moves faster by reusing its governance and risk management. The approach relies on proven methodologies for implementing integrated management systems, such as those carried by the PECB.
Deploy ISO 42001, step by step
Initial diagnosis
Map AI systems, measure maturity and scope, and identify the gaps to close.
Define governance
Policies, roles, committees and AI objectives, aligned with the organization's strategy.
Analyze AI risks
Identify bias, drift, security risks and impacts on people; define the treatments.
Implement controls
Frame the model lifecycle, data quality, human supervision and incident management.
Document & produce evidence
AI systems register, SoA, procedures: build an evidence pack usable in an audit.
Improve continuously
Internal audits, management reviews and updates as technological and regulatory changes occur.
Why work with BCIT?
Integrated security & AI
We build a common foundation ISO 27001 + ISO 42001 to share evidence and controls.
A progressive trajectory
We set the deployment pace according to the real number of AI systems to cover and your current maturity, with no imposed step that does not match your context.
Through to AI Act compliance
The AIMS serves as the foundation for your compliance AI Act and for theaudit of your AI systems.
Give your AI a trusted framework 🚀
Let’s take 15 minutes to assess your AI maturity and frame an ISO 42001 approach tailored to your organization.
ISO 42001: implement AI governance
ISO/IEC 42001 is the first international standard dedicated to artificial intelligence management. It structures an AI management system (AIMS): governance, lifecycle, risk control and traceability. We support you from diagnosis to implementation, reusing your existing ISO 27001 foundation instead of starting from scratch.
Why an AI management system?
Deploying AI without a framework means accumulating silent risks: opaque decisions, poorly controlled data, undetected drift. ISO 42001 provides a structured response: an AIMS that organizes governance, defines roles, frames the model lifecycle and establishes continuous supervision.
The standard is built like other management systems (ISO 27001 for security, for example): policies, risk analysis, controls, evidence, continual improvement. It forms the operational foundation for meeting the requirements of theAI Act and integrates naturally with an ISO 27001 ISMS.
What ISO 42001 structures
AI governance
Roles, responsibilities, committees and indicators: who decides what, based on which criteria, and with what human supervision.
The model lifecycle
From design to retirement: data, training, production deployment, monitoring and change management.
AI risk control
Identify, assess and treat AI-specific risks (bias, drift, security), connected to the GRC approach.
Traceability & evidence
AI systems register, flow mapping, documentation: enough to demonstrate compliance during an audit.
A reusable approach
Good news for organizations already committed to security: an ISO 42001 AIMS can be largely shared with an ISO 27001 ISMS. Governance, risk management, statement of applicability (SoA) and the documentation set can be streamlined and shared between the two frameworks: one evidence base, two target certifications, and a trajectory AI Act coherent.
Progressive implementation
Implementing ISO 42001 is a structured and progressive process, whose duration depends on the number of AI systems, existing maturity and available resources. An organization already certified ISO 27001 moves faster by reusing its governance and risk management. The approach relies on proven methodologies for implementing integrated management systems, such as those carried by the PECB.
Deploy ISO 42001, step by step
Initial diagnosis
Map AI systems, measure maturity and scope, and identify the gaps to close.
Define governance
Policies, roles, committees and AI objectives, aligned with the organization's strategy.
Analyze AI risks
Identify bias, drift, security risks and impacts on people; define the treatments.
Implement controls
Frame the model lifecycle, data quality, human supervision and incident management.
Document & produce evidence
AI systems register, SoA, procedures: build an evidence pack usable in an audit.
Improve continuously
Internal audits, management reviews and updates as technological and regulatory changes occur.
Why work with BCIT?
Integrated security & AI
We build a common foundation ISO 27001 + ISO 42001 to share evidence and controls.
A progressive trajectory
We set the deployment pace according to the real number of AI systems to cover and your current maturity, with no imposed step that does not match your context.
Through to AI Act compliance
The AIMS serves as the foundation for your compliance AI Act and for theaudit of your AI systems.
Give your AI a trusted framework 🚀
Let’s take 15 minutes to assess your AI maturity and frame an ISO 42001 approach tailored to your organization.