Understanding the EU AI Act: Essential Steps for Compliance in 2025

Navigating the EU AI Act: What Companies Need to Know and Do in 2025

The European Union has taken a historic step by enacting the AI Act, the world’s first comprehensive regulation of artificial intelligence. As of August 2024, the AI Act is in force, and its implementation is rolling out in stages. For companies using or developing AI systems, this regulation brings significant obligations – and now is the time to act.

What Has Happened So Far?

August 1, 2024: The EU AI Act officially entered into force. This marked the start of a phased implementation timeline.

February 2, 2025: The first obligations became legally binding, particularly:

  • The ban on AI systems with unacceptable risk, including:
    • Social scoring systems
    • Real-time biometric identification in public spaces (with limited exceptions)
    • Emotion recognition in workplaces and schools
    • Manipulative or exploitative AI (especially affecting vulnerable groups)
    • Early requirements for competence and awareness, ensuring staff working with AI have appropriate knowledge.

Where Are We Now?

As of May 2025, we are in the early implementation phase, with the next key milestone approaching in August 2025. During this phase:

  • Companies must evaluate their AI systems to determine their risk classification (unacceptable, high-risk, limited-risk, or minimal-risk).
  • Providers of General Purpose AI (GPAI) models – such as foundation models or large language models – must prepare for transparency and risk management obligations by August 2025.
  • National supervisory authorities and the European AI Office are being established to monitor compliance and provide guidance.

What’s Coming Next?

August 2, 2025:

  • Transparency obligations for General Purpose AI providers kick in. They must:
    • Provide documentation on the capabilities and limitations of their models.
    • Publish summaries of training data (with a focus on copyright and bias).
    • Conduct and publish model evaluations and risk assessments.
    • EU member states must have their national AI regulators in place.

August 2, 2026:

  • Full obligations for high-risk AI systems apply, including:
    • Rigorous conformity assessments
    • Quality management systems
    • Data governance, monitoring, and human oversight processes

August 2, 2027:

  • High-risk AI systems embedded in regulated products (e.g., in medical devices or industrial equipment) must comply with the AI Act in conjunction with sectoral laws.

What Companies Need to Do Now

To avoid disruption and ensure compliance, businesses using or developing AI systems should act proactively:

  1. Classify Your AI Systems
    • Map all AI use cases across your organization.
    • Determine their risk category under the AI Act:
      • Unacceptable (prohibited)
      • High-risk (strict obligations)
      • Limited-risk (transparency duties)
      • Minimal-risk (voluntary codes of conduct)
  2. Build Governance Structures
    • Assign clear responsibilities for AI compliance, risk management, and oversight.
    • Set up cross-functional teams (e.g., Legal, IT, Data Science, Compliance).
  3. Prepare for Documentation
    • Create or update your technical documentation, data sheets, and model logs.
    • If you’re a provider or deployer of high-risk systems, ensure auditability, explainability, and traceability of models.
  4. Conduct AI Risk Assessments
    • Evaluate potential harm to health, safety, fundamental rights, and societal well-being.
    • Develop mitigation strategies and incident handling procedures.
  5. Train Your People
    • Ensure staff understand AI risks and their responsibilities under the AI Act.
    • Consider role-based training for developers, product managers, legal, and compliance teams.
  6. Engage with Regulators
    • Monitor developments from the European AI Office and your national authority.
    • Participate in consultations, industry groups, or pilot programs.
  7. Plan for Audits and Enforcement
    • Set up internal audit capabilities for AI systems.
    • Regularly review and update processes, especially as the EU Commission issues delegated acts or clarifications.

Final Thoughts

The EU AI Act is more than just a legal obligation – it’s a framework that encourages trustworthy, human-centric AI development. Businesses that move early to align their systems, governance, and culture with the regulation will not only reduce risk, but also gain competitive advantage in the rapidly evolving AI landscape.

Preparation is no longer optional – it’s a strategic necessity. What are your thoughts and approaches to getting ready for the EU AI Act?

More Insights

Transforming Corporate Governance: The Impact of the EU AI Act

This research project investigates how the EU Artificial Intelligence Act is transforming corporate governance and accountability frameworks, compelling companies to reconfigure responsibilities and...

AI-Driven Cybersecurity: Bridging the Accountability Gap

As organizations increasingly adopt AI to drive innovation, they face a dual challenge: while AI enhances cybersecurity measures, it simultaneously facilitates more sophisticated cyberattacks. The...

Thailand’s Comprehensive AI Governance Strategy

Thailand is drafting principles for artificial intelligence (AI) legislation aimed at establishing an AI ecosystem and enhancing user protection from potential risks. The legislation will remove legal...

Texas Implements Groundbreaking AI Regulations in Healthcare

Texas has enacted comprehensive AI governance laws, including the Texas Responsible Artificial Intelligence Governance Act (TRAIGA) and Senate Bill 1188, which establish a framework for responsible AI...

AI Governance: Balancing Innovation and Oversight

Riskonnect has launched its new AI Governance solution, enabling organizations to manage the risks and compliance obligations of AI technologies while fostering innovation. The solution integrates...

AI Alignment: Ensuring Technology Serves Human Values

Gillian K. Hadfield has been appointed as the Bloomberg Distinguished Professor of AI Alignment and Governance at Johns Hopkins University, where she will focus on ensuring that artificial...

The Ethical Dilemma of Face Swap Technology

As AI technology evolves, face swap tools are increasingly misused for creating non-consensual explicit content, leading to significant ethical, emotional, and legal consequences. This article...

The Illusion of Influence: The EU AI Act’s Global Reach

The EU AI Act, while aiming to set a regulatory framework for artificial intelligence, faces challenges in influencing other countries due to differing legal and cultural values. This has led to the...

The Illusion of Influence: The EU AI Act’s Global Reach

The EU AI Act, while aiming to set a regulatory framework for artificial intelligence, faces challenges in influencing other countries due to differing legal and cultural values. This has led to the...