AI Compliance

AI is a regulated, fast-paced field with real concequences for non-compliance.

Explore our services designed to help you move forward with confidence.

Current Reality

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Inaction creates risk

Non-compliance means fines up to €35 million or 7% of global turnover, operational disruptions, market restrictions and reputational damage. Every week without a compliance program increases your risk exposure.

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AI is now regulated

The use and deployment of AI is regulated in EU and globally. Understanding these regulations is one thing. Turning them into concrete processes, roles, and decisions that actually work in your organization can be challenging.

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Fast-paced but limited support

AI technology, as well as AI regulations, are constantly changing. Organizations are left navigating complex requirements without clear or practical resources tailored to their specific context.

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Make your operations compliant, not complicated.

AI Compliance Services

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AI Compliance Support

Regulyn supports regulatory AI Compliance end to end.

Typical engagements:

  • Risk Classification under EU AI Act

  • Governance framework development

  • Sectoral Regulation Alignment

  • Compliance Roadmaps with practical steps forward

  • AI Policy developments from regulatory perspective.

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Training

Practical AI regulation training for boards and staff.

Typical engagements:

  • Board briefing on EU AI Act

  • AI Literacy training for staff

  • Role-based training on AI regulatory requirements (product teams, researchers).

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Tailored Support

Tailored support for complex or high-stakes environments.

Typical engagements:

  • AI deployment in healthcare

  • AI use in clinical trials, medical research or other sensitive areas

  • replying to authorities’ requests

  • planning an international or institutional AI compliance program

Why Regulyn

Organizations choose Regulyn the combination of specialized legal expertise, sector knowledge, and clear insight .

  • Regulyn focuses exclusively on AI regulation, R&D compliance, and related agreements.

    Every engagement receives direct involvement from experienced counsel. This ensures strategic insight, efficient decision-making, and clear guidance throughout.

  • Regulyn has deep understanding of environments where regulatory compliance intersects with innovation.

    With over a decade working in healthcare, life sciences, and research institutions, Regulyn understands the operational realities of implementing compliance in complex organizational context.

  • Regulyn’s clear communication and strategic insights ensure clients understand their regulatory requirements and can proceed with confidence.

Benefits of Compliance

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Trust and Control

Demonstratable compliance strengthens customer and investor trust. It also reduces exposure to fines, reputational harm and operational disruption.

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Momentum

Compliance enables access to regulated markets. Clear rules, defined processes, and assigned responsibilities speed up decisions and reduce friction.

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Readiness

Regulation will keep evolving, and strong governance helps you adapt without constant and costly rework. Building the foundation early delivers long-term value.

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 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.

  • Yes. We provide structured, fixed-scope AI Act Compliance Intensives for organizations looking for regulation-ready speed with limited time-investment.

    Learn more from the link in the footer.

Next steps

If you are facing AI compliance questions and need expert counsel, contact Regulyn about appropriate legal strategy.