How to Audit Leadership Commitment and the AI Policy Under ISO 42001

Why Clause 5 Is the Hardest Part of an ISO 42001 Audit

Most auditors find technical clauses straightforward. You check the risk register, review the impact assessment, sample the controls. Evidence is tangible. Leadership commitment is different. You cannot hold it in your hand or count it in a spreadsheet. And with ISO 42001, the challenge is compounded because the standard is new, AI governance is still maturing, and many organisations have implemented the system primarily to satisfy a procurement requirement rather than because leadership genuinely understands what responsible AI use means.

Clause 5 of ISO 42001 covers leadership and commitment (5.1), the AI policy (5.2), and organisational roles, responsibilities, and authorities (5.3). This article focuses on the first two. If you are auditing an AI management system for the first time, or preparing your internal audit programme to cover these clauses properly, what follows is a practical guide to what you should be looking for, what evidence actually counts, and where the common failures hide.

What Clause 5.1 Actually Requires

The published post on Leadership and Commitment in ISO 42001: What Clause 5.1 Requires covers the clause requirements in detail. For auditing purposes, the key obligations you need to verify are:

• Top management takes accountability for the effectiveness of the AI management system (AIMS)
• The AI policy and AI objectives are established and compatible with the strategic direction of the organisation
• AIMS requirements are integrated into the organisation's business processes
• The resources needed for the AIMS are available
• The importance of effective AI management is communicated across the organisation
• The AIMS achieves its intended outcomes
• People are directed and supported to contribute to the AIMS
• Continual improvement is promoted
• Other relevant management roles are supported in demonstrating leadership in their areas

That list looks familiar if you have audited ISO 9001, ISO 14001, or ISO 45001. The High Level Structure means leadership clauses share common DNA across standards. But the AI context introduces obligations that have no direct equivalent in those standards, particularly around accountability for AI system impacts and the requirement to ensure AI use aligns with the organisation's stated values and ethics.

How to Gather Evidence of Leadership Commitment

Start With the Management Review Records

The management review is the clearest window into whether top management is genuinely engaged. Under ISO 42001, the review must consider AI system performance, the results of impact assessments, and progress against AI objectives. When you sit down with the management review minutes, ask yourself whether this looks like a meeting where leaders actually discussed AI governance, or whether it looks like a rubber stamp of a report prepared by the quality team.

Signs of genuine engagement include discussion of specific AI systems, reference to actual incidents or near misses involving AI outputs, decisions about resource allocation for AI risk treatment, and evidence that the review shaped subsequent actions. Signs of disengagement include generic statements, no reference to specific AI systems, objectives that have not changed in twelve months despite changed circumstances, and action items with no owner or due date.

Interview Top Management Directly

This is non-negotiable. You cannot assess leadership commitment by reviewing documents alone. The interview does not need to be long, but it needs to be direct. Prepare questions that require the person to demonstrate knowledge, not just recite policy statements.

Useful questions include:

• Can you describe the AI systems your organisation uses that fall within the scope of the AIMS?
• What are the most significant AI risks your organisation has identified, and how are they being managed?
• How do you satisfy yourself that the AI policy is being followed in practice?
• What resources have you approved specifically for AI governance in the past twelve months?
• When did you last receive a briefing on AI system performance, and what did it tell you?

A top manager who cannot answer these questions with any specificity is telling you something important. That is not necessarily a nonconformity on its own, but it is a strong signal that the AIMS is being operated below the leadership level rather than by it. That finding needs to be explored further.

Trace the Resource Decisions

Clause 5.1 requires top management to ensure resources are available. Resources means people, tools, training, time, and budget. Ask for evidence of specific resource decisions. A budget line for AI governance, a decision to appoint an AI officer or equivalent, a training programme approved and funded by leadership, a procurement decision that included AI risk criteria. If the AIMS is being run on goodwill and spare capacity, with no dedicated resource and no formal allocation, that is a finding worth raising.

Look for Integration Into Business Processes

One of the more specific requirements in Clause 5.1 is that AIMS requirements are integrated into the organisation's business processes. This is not about having a separate AI management system that runs in parallel to everything else. It means AI governance considerations appear in procurement decisions, in project planning, in product development, in customer communication, and in performance monitoring.

Ask to see a recent procurement process where an AI tool or service was acquired. Was AI risk assessment conducted before purchase? Were contractual obligations around AI use included in the supplier agreement? Was the AI system registered in the AIMS scope? If the procurement team has never heard of the AIMS, integration has not happened.

Auditing the AI Policy Under Clause 5.2

The AI Policy Explained: Inside Clause 5.2 of ISO 42001 post covers what the policy must contain. For auditors, the task is not just to check whether the document exists and contains the right headings. The task is to verify that the policy is genuine, understood, implemented, and maintained.

What the Policy Must Contain

ISO 42001 Clause 5.2 requires the AI policy to:

• Be appropriate to the purpose of the organisation
• Provide a framework for setting AI objectives
• Include a commitment to satisfy applicable requirements
• Include a commitment to continual improvement of the AIMS
• Address responsible development and use of AI
• Be available as documented information
• Be communicated within the organisation
• Be available to interested parties as appropriate

The policy must also be consistent with the organisation's AI roles as determined under Clause 4. An organisation that operates purely as an AI user has different obligations to one that develops or deploys AI systems. Check that the policy language reflects the actual role of the organisation. A policy that reads as though the organisation develops AI when it only uses commercially available tools is a red flag, and vice versa.

Is the Policy Appropriate to the Organisation?

This is where many policies fall short. A generic AI ethics statement downloaded from a framework website and given a company logo is not an AI policy under ISO 42001. The policy needs to reflect the actual AI systems in use, the actual risks the organisation faces, and the actual values the organisation has committed to.

Ask the policy owner to walk you through how the policy was developed. Who was involved? What AI systems were considered? How does the policy connect to the risk assessment? If the answer is that it was prepared by a consultant in two hours based on a template, that is not necessarily a nonconformity, but the content of the policy will likely reveal whether it reflects genuine organisational thinking or not.

The Responsible AI Commitment

ISO 42001 is distinctive among management system standards because it explicitly requires a commitment to responsible development and use of AI. This is not just compliance language. It connects to the broader intent of the standard, which is to ensure that AI systems are designed, deployed, and monitored with attention to their impacts on people, society, and the environment.

When auditing this commitment, look for how it is operationalised. A commitment to responsible AI that exists only in the policy document and nowhere else in the system is not a commitment, it is a statement. Evidence of operationalisation includes the AI system impact assessment process, controls in Annex A that address fairness, transparency, and accountability, and training that covers responsible AI principles for staff who work with AI systems.

Communication and Availability

The policy must be communicated within the organisation and available to interested parties as appropriate. Interview a sample of staff who work with AI systems. Can they locate the policy? Do they know what it says? Can they explain the key commitments in their own words?

The interested parties question is worth exploring carefully. Customers, regulators, and community members may all be relevant interested parties. If the organisation has committed in its AI policy to transparency about AI use, check whether that commitment is reflected in customer communications, product disclosures, or website information. A gap between the policy commitment and actual practice is a significant finding.

Common Nonconformities in Clause 5 of ISO 42001

Based on what auditors are finding in early ISO 42001 certification audits, the following patterns appear frequently:

• Policy not aligned with AI role: The policy commits to principles relevant to AI developers when the organisation is purely an AI user, or fails to address the specific risks of the AI systems actually in scope.
• Leadership unable to demonstrate knowledge: Top management cannot describe the AI systems in scope, the significant risks, or the outcomes of recent impact assessments.
• No evidence of resource decisions: The AIMS is being maintained by one person with no formal resource allocation from top management.
• Policy not communicated: Staff who work daily with AI systems cannot locate the policy or describe its key commitments.
• Integration absent: AI governance requirements do not appear in procurement, project management, or operational processes.
• Management review does not cover AI performance: The review exists but covers quality or safety topics only, with AI management bolted on as a single agenda item with no substantive discussion.

Connecting Clause 5 to the Rest of the AIMS

Leadership commitment and the AI policy are not standalone requirements. They set the direction for everything else in the system. When you find a weak Clause 5, you will almost always find downstream problems. Objectives that lack measurability or connection to the policy commitments. Risk assessments that were conducted once and never reviewed. Impact assessments that were completed to satisfy certification rather than to inform decisions.

Conversely, when leadership commitment is genuine, you see it throughout the system. The AI policy language appears in procurement criteria. The impact assessment process is resourced and repeated at planned intervals. Staff training on responsible AI is funded and tracked. The management review produces real decisions, not just minutes.

This is why auditing Clause 5 well matters so much. It is not just about checking a box. It is about understanding whether the AIMS is being driven from the top or being maintained in spite of the top. That distinction shapes every finding you raise and every conclusion you draw.

Practical Tips for Auditing Clause 5 in ISO 42001

Do Not Accept Policy Recitation as Evidence

When you ask a top manager about leadership commitment, the trained response is to recite the policy. That tells you the person has been coached, not that they are genuinely committed. Push past the recitation. Ask about specific decisions, specific incidents, specific resource allocations. Genuine commitment produces specific answers.

Sample Across Different AI Systems

If the organisation uses multiple AI systems, do not accept evidence from only the most well-governed one. Sample across the scope. The customer service chatbot may have excellent governance. The AI tool used in the HR recruitment process may have none. Both are in scope. Both need to reflect the policy commitments.

Check the Date on Everything

AI technology changes quickly. An AI policy that was written eighteen months ago and has not been reviewed since may already be out of date. The AI systems in scope may have changed. New systems may have been introduced without going through the AIMS intake process. The risk profile may have shifted. Check whether the policy review cycle is appropriate to the pace of change in the organisation's AI environment.

Look for the Connection Between Policy and Objectives

Clause 5.2 requires the policy to provide a framework for setting AI objectives. That means you should be able to trace a clear line from the policy commitments to the objectives set under Clause 6.2. If the policy commits to transparency and fairness, there should be objectives that measure progress against those commitments. If the objectives are entirely about system uptime and cost reduction, the connection to the policy is missing.

Building Your Audit Checklist for Clause 5

A practical checklist for auditing Clauses 5.1 and 5.2 of ISO 42001 should include the following verification points:

1. Has top management been interviewed and can they demonstrate knowledge of the AIMS scope, risks, and performance?
2. Are resources formally allocated to the AIMS, and is there evidence of resource decisions made by top management?
3. Does the management review address AI system performance, impact assessment results, and AI objectives?
4. Is the AI policy documented, approved by top management, and current?
5. Does the policy reflect the organisation's actual AI role (provider, producer, customer, or combination)?
6. Does the policy include a commitment to responsible AI development and use?
7. Can a sample of staff locate and explain the policy?
8. Is the policy available to relevant interested parties?
9. Can you trace a line from the policy commitments to the AI objectives set under Clause 6.2?
10. Are AIMS requirements visible in business processes such as procurement, project management, and operations?

For auditors who want to build on this and audit the full AIMS, including the operational controls and impact assessments under Clause 8, the checklist approach needs to extend across all clauses. The ISO 42001 Internal Audit Checklist Template provides a starting point for structuring that work.

Training for ISO 42001 Auditors

ISO 42001 is a relatively new standard and auditing it well requires more than familiarity with the High Level Structure. You need to understand AI governance concepts, the role distinctions between providers, producers, and customers, the AI system impact assessment process, and how responsible AI principles translate into auditable evidence. That combination of technical and audit knowledge is not something most auditors pick up from reading the standard alone.

Audit Workshop offers ISO 42001 training at Foundation, Internal Auditor, and Lead Auditor levels, delivered live and self-paced. The courses are built around practical audit scenarios, not just clause-by-clause theory. If you are preparing to audit an AIMS for the first time, or if you want to add ISO 42001 to your auditor scope, the How to Become an ISO 42001 AI Management System Auditor post is a useful place to start before exploring the training options available.