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ISO 42001 Consultancy

ISO 42001 is the internationally recognised standard for Artificial Intelligence Management Systems. It provides a structured framework to help organisations govern, manage and control the development, procurement and use of AI systems responsibly.

Critical Path supports organisations at every stage of AI adoption, from early AI readiness and governance assessments through to Artificial Intelligence Management System implementation, framework alignment and certification preparation.

Why Choose ISO 42001?

AI is increasingly being used across business functions, often before organisations have fully mapped where it is used, who is accountable, what risks exist and what controls are needed. ISO 42001 helps organisations manage AI in a responsible, transparent and controlled way, with clear governance, accountability, risk management, human oversight and continual improvement.

For organisations already working towards ISO 27001, ISO 42001 can provide a natural extension to an existing Information Security Management System. While ISO 27001 focuses on protecting information and managing security risks, ISO 42001 focuses on the governance, risk and responsible use of artificial intelligence. Together, both standards can help organisations strengthen information security, AI governance and operational resilience.

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.
Get in touch

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

ISO 42001 Gap Analysis

AI Use Case Mapping

AI Risk & Impact Assessment

AI Governance Framework

AI Ethics, Trust & Conformity Assessment

AI Policy & Control Development

Framework Alignment & AI Controls

Supplier & Third-Party Review

Internal Audit & Certification Preparation

Corrective Action & Continual Improvement

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 AIMS throughout your organisation through implementation support, staff awareness, AI risk assessments, internal audits, and management reviews. We also help ensure your organisation is fully prepared for 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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