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AI Compliance Audit: Methodology and Best Practices

How to carry out an effective AI Act compliance audit? Discover the 5-step methodology and best practices.

Author Marie Dupont
March 25, 2026 10 min read
AI Compliance Audit: Methodology and Best Practices
AI compliance audit: a structured approach

With the progressive implementation of the AI Act, AI compliance auditing is becoming a mandatory step for any company using artificial intelligence. But where to start? What methodology to adopt? Here is a comprehensive guide to conducting an effective audit.

Why audit your AI compliance?

An AI compliance audit is not just a regulatory obligation. It is a strategic exercise that identifies risks, optimises processes and strengthens the trust of your clients and partners.

Companies that anticipate compliance benefit from a significant competitive advantage: they can demonstrate their commitment and more easily access public procurement and B2B partnerships.

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The 5 steps of an AI Act audit

A comprehensive AI Act compliance audit follows 5 structured phases:

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Step 1: AI systems inventory

Map all AI systems used in your organisation: internal tools, APIs, integrated models, SaaS using AI. Don't forget indirect uses (chatbots, recommendations, scoring).

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Step 2: Risk classification

For each identified system, determine its risk level according to the AI Act pyramid: unacceptable, high risk, limited risk, minimal risk. This classification determines the applicable obligations.

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Step 3: Gap analysis

Compare your current situation to the AI Act requirements for each risk level. Identify gaps: missing documentation, absent oversight processes, insufficient transparency.

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Step 4: Remediation plan

Establish a prioritised action plan to close the identified gaps. Define those responsible, deadlines and resources needed for each action.

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Step 5: Monitoring and continuous improvement

Compliance is not a static state. Put in place a periodic reassessment process, particularly when deploying new systems or updating existing ones.

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Risk assessment and classification

Risk classification is the core of the audit. The AI Act defines four risk levels that determine obligations:

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Required documentation and deliverables

The AI Act requires comprehensive technical documentation for high-risk systems. Here are the essential documents:

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Audit tools and platforms

Several approaches exist for conducting an AI compliance audit:

Automated audit

Platforms such as AI Act Ready allow you to carry out a structured online audit, with an intelligent questionnaire and automatic generation of compliance reports.

Audit by a specialised firm

For complex or high-risk systems, guidance from AI regulation experts may be relevant.

Internal audit

Large organisations can set up a dedicated internal team trained in AI Act requirements.

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Launch your compliance audit

Our platform guides you step by step through auditing your AI systems with an intelligent questionnaire and a detailed report.

Start free audit

An AI compliance audit is an investment that pays off in the long term. By adopting a structured approach, you secure your business and demonstrate your commitment to responsible AI.

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