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// Walkthrough

Read ISO 42001 as a step-by-step path

Section 1 of 17

4 - Context of the organization

4 items
// Why this section exists

Before you can manage AI, you scope it. Clause 4 forces you to define what AI is inside your management system, who the stakeholders are, and what 'success' means.

// Step-by-step
  1. 1List internal/external issues that affect your AI work (regulation, customer expectations, third-party models).
  2. 2Identify interested parties - users, regulators, affected persons - and capture their requirements.
  3. 3Draw the AIMS scope: which AI systems, business units and processes are in/out.
  4. 4Document the AIMS itself and how its processes interact.
// In the other frameworks
NIST AI RMF

NIST starts in GOVERN 1.1 (legal/regulatory) and MAP 1.x (context). Same idea, no certification.

EU AI Act

EU AI Act doesn't ask for 'context' explicitly, but Art.16/17 obligations only apply once you've classified yourself as provider or deployer of a given AI system.

Step 1Clause 4.1
Understanding the organization and its context
Identify internal/external issues relevant to the AI Management System (AIMS) and the intended outcomes.
// Maps to
EU AI ActArticle 9
Step 2Clause 4.2
Needs and expectations of interested parties
Identify interested parties (users, regulators, affected persons) and their requirements.
// Maps to
Step 3Clause 4.3
Scope of the AI Management System
Define which AI systems, processes and units are inside the AIMS boundary.
// Maps to
NIST AI RMFGOVERN 1.1
Step 4Clause 4.4
AI Management System
Establish, implement, maintain and continually improve the AIMS and its processes.
// Maps to
Section 2 of 17

5 - Leadership

3 items
// Why this section exists

Top management has to own AI risk, not just delegate it. Without signed commitment, the rest of the system is theatre.

// Step-by-step
  1. 1Executive accountability statement and resourcing decision.
  2. 2Approve an AI policy aligned with strategy.
  3. 3Assign documented roles, responsibilities and authorities for AI.
// In the other frameworks
NIST AI RMF

GOVERN 2.1–2.3 cover the same accountability and roles.

EU AI Act

Art.26 puts named legal duties on deployers; Art.17 mandates a quality management system signed off by management for high-risk AI.

Step 1Clause 5.1
Leadership and commitment
Top management demonstrates commitment to the AIMS and accountability for outcomes.
// Maps to
EU AI ActArticle 26
Step 2Clause 5.2
AI policy
Establish an AI policy aligned with strategy, signed off by top management.
// Maps to
EU AI ActArticle 17
Step 3Clause 5.3
Roles, responsibilities and authorities
Assign and communicate AI roles, including authority for AIMS conformance.
// Maps to
EU AI ActArticle 26
Section 3 of 17

6 - Planning

5 items
// Why this section exists

Planning is where AI risk management becomes real: pick a method, run risk + impact assessments, then choose treatments traceable to Annex A controls.

// Step-by-step
  1. 1Plan actions to address risks and opportunities from your context.
  2. 2Run an AI risk assessment using a documented method.
  3. 3Pick treatments and produce the Statement of Applicability (SoA) against Annex A.
  4. 4Run an AI system impact assessment on people and society.
  5. 5Set measurable AI objectives.
// In the other frameworks
NIST AI RMF

Maps almost 1:1 to MAP and MEASURE: MAP 5.x for impact, MEASURE 2.x for risk quantification, MANAGE 1.x for treatment.

EU AI Act

Art.9 = risk management system; Art.27 = fundamental-rights impact assessment for certain deployers.

Step 1Clause 6.1.1
Actions to address risks and opportunities
Plan actions to address AI risks and opportunities arising from context.
// Maps to
EU AI ActArticle 9
Step 2Clause 6.1.2
AI risk assessment
Define and apply a process to identify, analyse and evaluate AI risks.
// Maps to
Step 3Clause 6.1.3
AI risk treatment
Select and apply risk treatments; produce a Statement of Applicability against Annex A.
// Maps to
EU AI ActArticle 9
Step 4Clause 6.1.4
AI system impact assessment
Assess potential consequences for individuals, groups and society throughout the AI lifecycle.
// Maps to
NIST AI RMFMAP 5.1MAP 5.2
EU AI ActArticle 27
Step 5Clause 6.2
AI objectives and planning
Set measurable AI objectives consistent with the AI policy.
// Maps to
EU AI ActArticle 9
Section 4 of 17

7 - Support

5 items
// Why this section exists

An AIMS needs fuel: people, skills, awareness, communications and documented information. Most failed audits trace back here.

// Step-by-step
  1. 1Allocate resources (compute, tooling, headcount, data).
  2. 2Confirm competence and retain proof.
  3. 3Drive awareness of the AI policy across the workforce.
  4. 4Run internal/external communications on AI.
  5. 5Control documented information end-to-end.
// In the other frameworks
NIST AI RMF

GOVERN 3 covers workforce; GOVERN 1.4 covers documentation; GOVERN 5 covers communications.

EU AI Act

Art.4 makes AI literacy a hard legal duty; Art.11 + Annex IV require a documentation pack for high-risk AI.

Step 1Clause 7.1
Resources
Provide resources needed to establish and run the AIMS.
// Maps to
NIST AI RMFGOVERN 2.1
EU AI ActNo direct equivalent in EU AI Act.
Step 2Clause 7.2
Competence
Ensure people performing AI work are competent and demonstrate it.
// Maps to
NIST AI RMFGOVERN 3.2
Step 3Clause 7.3
Awareness
Workforce is aware of AI policy, their contribution and risks of non-conformance.
// Maps to
NIST AI RMFGOVERN 3.1
EU AI ActArticle 4
Step 4Clause 7.4
Communication
Internal and external communications regarding AIMS.
// Maps to
NIST AI RMFGOVERN 5.1
EU AI ActArticle 13
Step 5Clause 7.5
Documented information
Create, control and retain documented information required by the AIMS.
Section 5 of 17

8 - Operation

4 items
// Why this section exists

Clause 8 is the operational mirror of Clause 6 - you re-run risk and impact assessments as conditions change, and execute the treatment plan.

// Step-by-step
  1. 1Plan and control operational processes for the AI lifecycle.
  2. 2Re-run risk assessments at planned intervals and on significant change.
  3. 3Implement and verify the risk treatment plan.
  4. 4Re-run AI system impact assessments operationally.
// In the other frameworks
NIST AI RMF

Lives in MANAGE 1–2 with continuous re-MEASURE.

EU AI Act

Art.9 is continuous by design; Art.72 adds post-market monitoring that loops back into operation.

Step 1Clause 8.1
Operational planning and control
Plan, implement and control operational processes for the AI lifecycle.
// Maps to
NIST AI RMFMANAGE 1.1
EU AI ActArticle 17
Step 2Clause 8.2
AI risk assessment (operational)
Perform risk assessments at planned intervals and on significant change.
Step 3Clause 8.3
AI risk treatment (operational)
Implement risk treatment plan and verify it is effective.
// Maps to
EU AI ActArticle 9
Step 4Clause 8.4
AI system impact assessment (operational)
Conduct impact assessments at planned intervals and on change.
// Maps to
NIST AI RMFMAP 5.1
EU AI ActArticle 27
Section 6 of 17

9 - Performance evaluation

3 items
// Why this section exists

You can't claim conformity if you can't measure. Clause 9 forces measurement, internal audit and management review.

// Step-by-step
  1. 1Decide what you monitor, how, how often, and how you evaluate it.
  2. 2Run internal audits of the AIMS on a planned schedule.
  3. 3Have top management formally review AIMS effectiveness.
// In the other frameworks
NIST AI RMF

MEASURE 1.x picks the metrics; MANAGE 4.x closes the loop; GOVERN 2.2 ensures leadership review.

EU AI Act

Art.72 obliges post-market monitoring; Art.15 obliges declared accuracy/robustness levels measured over time.

Step 1Clause 9.1
Monitoring, measurement, analysis and evaluation
Define what to monitor, methods, frequency, and evaluate AI performance.
// Maps to
Step 2Clause 9.2
Internal audit
Plan and conduct internal audits of the AIMS at planned intervals.
// Maps to
NIST AI RMFGOVERN 4.1
EU AI ActArticle 17
Step 3Clause 9.3
Management review
Top management reviews AIMS suitability, adequacy and effectiveness.
// Maps to
NIST AI RMFGOVERN 2.2
EU AI ActArticle 17
Section 7 of 17

10 - Improvement

2 items
// Why this section exists

Continual improvement and corrective action - the engine that stops the AIMS from drifting into shelfware.

// Step-by-step
  1. 1Improve suitability, adequacy and effectiveness continually.
  2. 2Respond to nonconformities with root-cause analysis and corrective action.
// In the other frameworks
NIST AI RMF

MANAGE 4.x is the equivalent - measure, learn, improve.

EU AI Act

Art.20 corrective action + Art.73 serious-incident reporting are the legal teeth.

Step 1Clause 10.1
Continual improvement
Continually improve suitability, adequacy and effectiveness of the AIMS.
// Maps to
EU AI ActArticle 72
Step 2Clause 10.2
Nonconformity and corrective action
Respond to nonconformities, take corrective action and prevent recurrence.
// Maps to
Section 9 of 17

Annex A.3 - Internal organization

2 items
2 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.3.2
AI roles and responsibilities
Define, assign and communicate roles, responsibilities and authorities for AI activities.
// Maps to
EU AI ActArticle 26
Step 2Annex A.3.3
Reporting of concerns
Provide a mechanism for personnel to raise concerns about AI systems without fear of reprisal.
// Maps to
EU AI ActArticle 26
Section 10 of 17

Annex A.4 - Resources for AI systems

5 items
5 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.4.2
Resource documentation
Identify and document the resources (data, tooling, compute, people) needed for each AI system.
// Maps to
NIST AI RMFMAP 4.1
Step 2Annex A.4.3
Data resources
Document the data resources used by AI systems across the lifecycle.
// Maps to
NIST AI RMFMAP 2.3
EU AI ActArticle 10
Step 3Annex A.4.4
Tooling resources
Document the tools used to develop, deploy and operate AI systems.
// Maps to
NIST AI RMFMAP 4.1
EU AI ActArticle 17
Step 4Annex A.4.5
System and computing resources
Document the system and computing resources (infrastructure, compute) supporting AI systems.
// Maps to
NIST AI RMFMAP 4.1
EU AI ActArticle 15
Step 5Annex A.4.6
Human resources
Document the human resources, competences and AI literacy needed for AI systems.
// Maps to
NIST AI RMFGOVERN 3.2
EU AI ActArticle 4
Section 11 of 17

Annex A.5 - Assessing impacts of AI systems

4 items
4 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.5.2
AI system impact assessment process
Establish a process to assess the potential impacts of AI systems on people and society.
// Maps to
EU AI ActArticle 27
Step 2Annex A.5.3
Documentation of impact assessments
Document the results of AI system impact assessments and keep them available for review.
// Maps to
EU AI ActArticle 27
Step 3Annex A.5.4
Assessing AI system impact on individuals and groups
Assess potential impacts of AI systems on individuals and groups of individuals.
// Maps to
NIST AI RMFMAP 5.1MAP 5.2
EU AI ActArticle 27
Step 4Annex A.5.5
Assessing societal impacts
Assess potential societal impacts of AI systems beyond direct users.
// Maps to
EU AI ActArticle 27
Section 12 of 17

Annex A.6.1 - Management guidance for AI system development

2 items
2 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.6.1.2
Objectives for responsible development
Set objectives that guide responsible development of AI systems across the lifecycle.
// Maps to
Step 2Annex A.6.1.3
Processes for responsible design and development
Define processes for the responsible design and development of AI systems.
// Maps to
EU AI ActArticle 17
Section 13 of 17

Annex A.6.2 - AI system life cycle

7 items
7 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.6.2.2
AI system requirements and specification
Specify and document requirements for each AI system, including performance and risk criteria.
// Maps to
NIST AI RMFMAP 2.1
EU AI ActArticle 9
Step 2Annex A.6.2.3
Documentation of AI system design and development
Document the design and development of AI systems to support review and audit.
// Maps to
NIST AI RMFMAP 2.3
EU AI ActArticle 11
Step 3Annex A.6.2.4
AI system verification and validation
Define and apply measures to verify and validate AI systems against requirements.
Step 4Annex A.6.2.5
AI system deployment
Plan and control the deployment of AI systems into production environments.
// Maps to
NIST AI RMFMANAGE 1.1
EU AI ActArticle 16
Step 5Annex A.6.2.6
AI system operation and monitoring
Operate and monitor AI systems in production, including drift and performance checks.
// Maps to
Step 6Annex A.6.2.7
AI system technical documentation
Produce technical documentation that describes the AI system to stakeholders and regulators.
// Maps to
NIST AI RMFMAP 2.3
Step 7Annex A.6.2.8
AI system recording of event logs
Record event logs from AI systems to support traceability, monitoring and incident response.
// Maps to
Section 14 of 17

Annex A.7 - Data for AI systems

5 items
5 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.7.2
Data for development and enhancement
Manage the data used to develop and enhance AI systems across the lifecycle.
// Maps to
Step 2Annex A.7.3
Acquisition of data
Control how data is acquired for AI systems, including sourcing and legal basis.
// Maps to
NIST AI RMFMAP 2.3
EU AI ActArticle 10
Step 3Annex A.7.4
Quality of data
Manage the quality of data used by AI systems, including accuracy, completeness and bias.
// Maps to
Step 4Annex A.7.5
Data provenance
Track the provenance of data used for AI systems so origin and changes are known.
// Maps to
NIST AI RMFMAP 2.3
EU AI ActArticle 10
Step 5Annex A.7.6
Data preparation
Manage the preparation of data (cleaning, labelling, transformation) used for AI systems.
// Maps to
NIST AI RMFMEASURE 2.10
EU AI ActArticle 10
Section 15 of 17

Annex A.8 - Information for interested parties

4 items
4 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.8.2
System documentation and information for users
Provide system documentation and information so users can use the AI system correctly.
Step 2Annex A.8.3
External reporting
Report externally on AI system performance, incidents and impacts as appropriate.
// Maps to
Step 3Annex A.8.4
Communication of incidents
Communicate AI system incidents to affected parties and authorities in a timely way.
// Maps to
NIST AI RMFMANAGE 4.3
EU AI ActArticle 73
Step 4Annex A.8.5
Information for interested parties
Provide information about AI systems to interested parties beyond direct users.
// Maps to
Section 16 of 17

Annex A.9 - Use of AI systems

3 items
3 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.9.2
Processes for responsible use
Define processes for the responsible use of AI systems within the organisation.
Step 2Annex A.9.3
Objectives for responsible use
Set objectives for the responsible use of AI systems, aligned with the AI policy.
// Maps to
NIST AI RMFGOVERN 1.2
EU AI ActArticle 26
Step 3Annex A.9.4
Intended use of the AI system
Ensure AI systems are used for their intended purpose, with human oversight in place.
// Maps to
Section 17 of 17

Annex A.10 - Third-party and customer relationships

3 items
3 items in this section. Click any item to see its cross-framework mapping in the explorer.
Step 1Annex A.10.2
Allocating responsibilities
Allocate responsibilities for AI risk between the organisation and third parties.
Step 2Annex A.10.3
Suppliers
Manage AI risk arising from suppliers of data, models, tools and services.
// Maps to
EU AI ActArticle 25
Step 3Annex A.10.4
Customers
Manage AI risk arising from how customers use the AI systems the organisation provides.
// Maps to