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ISO/IEC 42001 Consultancy

Create a structured approach to how your organisation develops, provides or uses AI. We help you define responsibilities, assess risks and impacts, and establish governance processes and documentation aligned with an ISO/IEC 42001 AI management system.

ISO/IEC 42001:2023 sets requirements for an Artificial Intelligence Management System for organisations that develop, provide or use AI products or services. It supports governance, responsibilities, risk assessment, AI system impact assessment and continual improvement. It can be integrated with an information security management system, but it is a separate standard and does not replace applicable AI or data protection law.

Current standard checked 4 November 2026: ISO/IEC 42001:2023.

Are you facing any of these challenges?

Critical Path can support organisations that need to understand where AI is being used, assess AI-related risks and opportunities, strengthen governance arrangements or prepare for ISO 42001 certification.
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Understanding where AI is being used across your organisation, including third-party tools and supplier platforms

Identifying AI-related risks, impacts, opportunities and governance requirements

Defining clear AI ownership, accountability, human oversight and decision-making responsibilities

Developing an Artificial Intelligence Management System aligned with ISO 42001

Aligning ISO 42001 with ISO 27001, ISO 27002 AI controls and existing information security processes

Assessing AI ethics, trust, conformity and regulatory expectations across relevant frameworks and regions

Preparing internal processes, policies and evidence for ISO 42001 certification

Our ISO 42001 Consultancy Services

Whether your organisation is adopting AI for the first time, using third-party AI tools or developing AI-enabled products and services, Critical Path offers practical consultant-led support. Our approach helps your organisation understand its AI landscape, establish clear governance, manage risks and prepare confidently for ISO 42001 certification where required.

AI Readiness & Governance Assessment

We help organisations establish their current AI landscape before moving into a formal ISO 42001 implementation. This includes identifying AI use cases, assessing governance maturity, reviewing accountability arrangements, considering opportunities and risks, and providing a clear action plan for responsible AI adoption. This service is particularly useful for organisations that are still exploring AI or need to understand what governance is required before progressing towards certification.

ISO 42001 Gap Analysis

We conduct an ISO 42001 gap analysis to assess your existing AI governance arrangements against the requirements of the standard. This helps identify areas of compliance, gaps in current processes and the actions required to build an effective Artificial Intelligence Management System. Our findings provide a clear action plan, helping your organisation understand what needs to be improved before progressing towards ISO 42001 certification.

AI Use Case Mapping

Many organisations are already using AI tools without a complete understanding of where, why or how they are being used. We help identify and document AI use cases across departments, systems, suppliers and business processes, while assessing their purpose, data usage, level of human oversight, associated risks and potential impacts on stakeholders.

AI Risk & Impact Assessment

We support your organisation in reviewing AI-related risks, including security, privacy, fairness, bias, transparency, accountability, reliability and operational impact. This helps ensure that AI systems are assessed before they are implemented and monitored throughout their lifecycle. Our consultants can help create a structured AI risk and impact assessment process that supports responsible AI use and provides evidence for certification.

AI Governance Framework

We help organisations establish clear governance arrangements for the responsible use of artificial intelligence. This may include defining AI ownership, approval processes, escalation routes, monitoring requirements, reporting lines, senior management oversight and human oversight responsibilities. A strong AI governance framework helps ensure that AI systems are introduced and managed in a controlled, accountable and auditable way.

AI Ethics, Trust & Conformity Assessment

We can support an AI ethics, trust and governance assessment, considering responsible AI principles, stakeholder expectations and applicable regulatory requirements. Where included in the agreed scope, the OxEthica platform can support a structured review. A platform assessment or ISO/IEC 42001 certificate does not itself confer statutory conformity assessment, legal approval or compliance with all AI legislation.

AI Policy & Control Development

We support the development of AI policies, procedures and controls required to implement ISO 42001. This may include AI governance policies, acceptable use guidance, risk assessment procedures, impact assessment templates, monitoring records, supplier review processes and evidence required to demonstrate compliance. We focus on creating documentation that is useful, practical and aligned with how AI is actually used across your organisation.

Framework Alignment & AI Controls

AI governance does not always sit within one standard or framework. Depending on your organisation, ISO 42001 may need to work alongside information security, data protection, AI legislation, ethical AI principles and wider business controls. We can help you understand which frameworks are most relevant to your organisation, how they can work together in practice, and what applies to your current AI governance arrangements. Our consultants focus on building a joined-up approach to AI governance, risk management, accountability and compliance.

Supplier & Third-Party Review

We help assess governance and information risks associated with third-party AI tools and providers. The agreed review can consider data handling, security, contracts, transparency, monitoring, allocation of responsibilities and oversight. Findings support proportionate supplier controls and can be coordinated with ISO/IEC 27001 arrangements.

Internal Audit & Certification Preparation

We support certification preparation through internal audits, evidence reviews and readiness assessments. Audit work must preserve objectivity and impartiality; auditors should not assess their own work. The certification decision is made separately by an independent certification body. Where accredited certification is required, check the body’s accreditation for ISO/IEC 42001 and the relevant scope.

Corrective Action & Continual Improvement

We support action on audit findings, nonconformities and opportunities for improvement, including cause analysis, process updates and effectiveness reviews. The organisation remains responsible for maintaining its AI management system as AI use, technology and applicable requirements change.

Our ISO 42001 Process

01

Understand Your AI Landscape

We begin by understanding how artificial intelligence is currently being used across your organisation, including existing AI systems, governance arrangements, associated risks and current controls. This provides a clear baseline for developing an effective AI Management System (AIMS).

02

Build Your AI Management System

We work with your team to design and implement an AI Management System (AIMS), including governance, policies, processes, risk management, and operational controls. The objective is to enable responsible AI that supports innovation while meeting ethical, legal and regulatory expectations.

03

Implement, Support & Prepare

We help embed the AI management system through implementation support, staff awareness, AI risk and impact assessments, internal audits and management reviews. Readiness is assessed against the agreed scope and evidence; consultancy does not guarantee certification.

04

External Certification Audit

Critical Path does not audit or certify its own consultancy work. Certification is carried out by an independent certification body to ensure impartiality. We work with UKAS-accredited, ANAB-accredited and non-accredited certification bodies, helping you select the most appropriate certification provider based on your business objectives and market requirements.

What are the benefits of ISO/IEC 42001?

ISO/IEC 42001 helps organisations govern how they develop, provide and use artificial intelligence. A practical AI Management System brings together responsibilities, controls and review processes to support responsible AI use.

Bring AI policies, objectives and decision-making processes into one management system that reflects how your organisation uses AI.

Clear AI Governance

Bring AI policies, objectives and decision-making processes into one management system that reflects how your organisation uses AI.

Clarify who approves, manages and oversees AI use, so your team knows where accountability sits.

Defined Responsibilities

Clarify who approves, manages and oversees AI use, so your team knows where accountability sits.

Identify AI-related risks, assess their significance and prioritise actions around your organisation’s activities and objectives.

AI Risk Management

Identify AI-related risks, assess their significance and prioritise actions around your organisation’s activities and objectives.

Consider how AI affects people and your organisation, bringing ethical concerns into everyday decisions and controls.

Responsible AI Use

Consider how AI affects people and your organisation, bringing ethical concerns into everyday decisions and controls.

Keep clear records of key decisions and communicate relevant information about how AI is used and managed.

Greater Transparency

Keep clear records of key decisions and communicate relevant information about how AI is used and managed.

Give teams a common approach to AI use, reducing uncertainty when adopting new tools or changing existing processes.

Consistent Working Practices

Give teams a common approach to AI use, reducing uncertainty when adopting new tools or changing existing processes.

Review AI performance and impacts over time, so changes and emerging problems receive appropriate attention.

Performance Monitoring

Review AI performance and impacts over time, so changes and emerging problems receive appropriate attention.

Explore useful AI opportunities within an agreed governance framework, with risks considered before new uses are introduced.

Informed Innovation

Explore useful AI opportunities within an agreed governance framework, with risks considered before new uses are introduced.

Demonstrate how AI responsibilities and risks are managed, giving customers and partners a clearer basis for confidence.

Stakeholder Confidence

Demonstrate how AI responsibilities and risks are managed, giving customers and partners a clearer basis for confidence.

Use reviews, findings and corrective actions to improve your AI management system as your organisation and technology develop.

Continual Improvement

Use reviews, findings and corrective actions to improve your AI management system as your organisation and technology develop.

Clear AI Governance

Bring AI policies, objectives and decision-making processes into one management system that reflects how your organisation uses AI.

Defined Responsibilities

Clarify who approves, manages and oversees AI use, so your team knows where accountability sits.

AI Risk Management

Identify AI-related risks, assess their significance and prioritise actions around your organisation’s activities and objectives.

Responsible AI Use

Consider how AI affects people and your organisation, bringing ethical concerns into everyday decisions and controls.

Greater Transparency

Keep clear records of key decisions and communicate relevant information about how AI is used and managed.

Consistent Working Practices

Give teams a common approach to AI use, reducing uncertainty when adopting new tools or changing existing processes.

Performance Monitoring

Review AI performance and impacts over time, so changes and emerging problems receive appropriate attention.

Informed Innovation

Explore useful AI opportunities within an agreed governance framework, with risks considered before new uses are introduced.

Stakeholder Confidence

Demonstrate how AI responsibilities and risks are managed, giving customers and partners a clearer basis for confidence.

Continual Improvement

Use reviews, findings and corrective actions to improve your AI management system as your organisation and technology develop.

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Frequently Asked Questions

What is ISO 42001 and who needs an AI management system?

ISO/IEC 42001:2023 is the current international standard for artificial intelligence management systems (AIMS). It is relevant to organisations that develop, provide or use AI-based products and services. It provides a framework for AI governance, responsibilities, risks and continual improvement. Whether certification is appropriate depends on your activities, objectives and stakeholder requirements.

What does Critical Path’s ISO 42001 consultancy include?

Our ISO 42001 consultancy can include reviewing existing AI governance, identifying gaps, defining the management system scope, documenting responsibilities and supporting risk management and implementation. We can help establish an AIMS or improve arrangements already in place. The support is tailored to your organisation’s use of AI and the scope agreed with you.

Does ISO 42001 certification guarantee responsible or legally compliant AI?

No. ISO 42001 certification concerns an organisation’s AI management system within a defined scope. It is not a blanket approval of every AI product, a guarantee of error-free outputs or automatic compliance with all AI, privacy and sector-specific laws. Critical Path provides consultancy; an independent certification body assesses conformity and makes certification decisions.

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