AI Act Readiness Checklist

Thank you for your interest. Here is the download link for your free, practical AI Act Readiness Checklist.

AI Act Readiness Checklist

How we help

Any organization can meet AI regulation’s requirements effectively with the right guidance, documentation and practical governance structures. We help you achieve compliance efficiently without disrupting your operations.

AI Training

We deliver practical AI training for boards and staff.

Examples include board briefing on EU AI Act, AI literacy training for staff and role-based training (product, procurement).

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AI Compliance Support

We support regulatory AI Compliance end to end.

Examples include role and risk level analysis, AI policies, governance roadmaps and compliance checklists.

Tailored Support

We offer tailored support for complex or high-stakes environments.

Some examples include AI deployment in patient care, replying to authorities requests and planning an international AI compliance program.

Navigate EU AI Act with Confidence

The EU AI Act is now in force. Organizations across sectors are racing to understand what it means for them - and more importantly, how to comply without disrupting their operations.

You probably have questions. Which of your AI systems are affected? What documentation do you need? When do the deadlines actually apply to you? These are not simple questions. The AI Act is a complex, risk-based framework that intersects with sector-specific regulations, data protection law, and your organization's unique circumstances.

We turn that complexity into clarity. We assess your AI landscape, design practical governance structures, and offer actionable advice and practical compliance programs that work in the real world.

 Frequently asked questions (FAQ)

  • The EU Artificial Intelligence Act is a new regulation that applies to all AI systems placed on the EU market or used within the EU. It is often referred to as (“AI Act”).

    The AI Act introduces a wide range of obligations. The scope of these requirements depends on the organisation’s role (such as provider, deployer or distributor) and the system’s risk level. Non-compliance can result in administrative fines of up to €35 million.

  • The EU AI Act requires organisations to maintain documentation proving the safety, transparency and compliance of their AI systems.

    In practice, at minimum, this means:

    • AI system directory with system name, risk level and other key details;

    • documentation for safety/governance processes

    • transparency documentation

    • AI training material or log of trainings held (AI literacy)

    • an AI appendix for agreements, where relevant.

    For high-risk AI, the documentation requirements are extensive, especially for providers. The key documentation includes technical documentation, risk management files and FRIA. Additionally, a conformity assessment and post-market monitoring plan may be required.

    For general purpose AI-models (GPAIs) there are additional requirements. These include documentation covering models, training data, testing, risk mitigation, user guidance and monitoring.

    More comprehensive guidance on documentation is available by requesting advisory support or visiting Regulyn Knowledge Center.

  • The EU AI Act classifies AI systems into four risk categories.

    Unacceptable Risk

    AI systems that threaten fundamental rights are prohibited and cannot be developed or used in the EU.
    Examples: AI used for social scoring or exploiting vulnerabilities of specific groups.

    High Risk

    High-risk AI systems must meet strict requirements, including security, governance, transparency and documentation measures. Many AI use cases in healthcare, education, critical infrastructure and human resources fall into this category.
    Examples: AI used for cancer detection, or systems used to assess job applicants.

    Limited Risk

    Limited-risk AI systems are subject to transparency obligations. Users must be informed when they are interacting with an AI system.
    Example: AI-assisted customer service chatbots
    (Note: the public sector faces additional restrictions.)

    Minimal Risk

    Minimal-risk AI systems are not subject to specific obligations under the AI Act.
    Example: basic spam filtering.

  • Now.

    Some obligations, such as the obligation to ensure adequate AI literacy and the prohibitions on certain AI use cases, are already applicable.

    The provisions governing high-risk AI systems will enter into force next, with full applicability expected in 2026.

  • Everything starts with a clear overview of how AI is currently used in your organisation. Begin by mapping your existing AI use cases. This allows you to prioritise systems based on their risk level.

    A practical way to get started is to build on processes you already have in place, such as data protection risk assessments. It is also important to appoint a responsible person or team for AI governance.

    In short: map your AI use, prioritise by risk and establish a governance process.

    Tip: If you need clarity or more detailed guidance on AI governance, contact a Regulyn expert.