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Building an EU AI Act risk management system — 2026-06-18

Building an EU AI Act Risk Management System

TL;DR — The EU AI Act requires high-risk AI systems to implement documented risk management systems throughout their lifecycle. These must identify, analyse, and mitigate risks; establish governance and accountability structures; and maintain records of processes, decisions, and testing outcomes. Requirements apply from the Act's enforcement date and scale with system risk classification.

What is a risk management system under the EU AI Act?

A risk management system is a documented, systematic approach that [high-risk AI providers must establish][1] to identify potential harms their systems could cause, evaluate their likelihood and severity, and implement measures to reduce those risks. It covers the entire lifecycle—from design and development through deployment, monitoring, and discontinuation.

Who must implement risk management systems?

[Providers of high-risk AI systems][1] bear primary responsibility for establishing and maintaining these systems. This includes organisations developing, deploying, or modifying high-risk AI applications. The specific obligations depend on your role: providers, importers, distributors, and users each have defined responsibilities under the framework.

What are the core components of a compliant risk management system?

A compliant system must include:

  • Risk identification and analysis: Document known and foreseeable risks, including those arising from misuse, edge cases, and interactions with other systems.
  • Risk evaluation: Assess severity, probability, and persistence of identified risks.
  • Risk mitigation: Design and implement technical, organisational, and procedural safeguards.
  • Governance and documentation: Assign clear responsibilities, maintain records of decisions and testing, and establish review cycles.
  • Monitoring and post-market surveillance: Continuously track system performance and user feedback; act on emerging risks.

[The EU AI Act][1] specifies these elements in detail.

When must risk management systems be in place?

Risk management activities must begin during the development phase and continue throughout the system's operational life. Documentation of the risk management process must be maintained and made available to competent authorities upon request. The timeline for compliance aligns with [the EU AI Act's enforcement schedule][1].

What documentation is required?

Providers must maintain:

  • Records of risk identification and assessment methodologies
  • Evidence of testing and validation procedures
  • Documentation of mitigation measures implemented
  • Logs of post-market monitoring activities and incidents
  • Records of decisions to modify or discontinue systems based on risk findings

These records support accountability and enable regulatory oversight.

How does risk management differ between risk categories?

The EU AI Act defines different risk levels. [High-risk systems][1] face the most stringent requirements, including mandatory risk management systems. Lower-risk systems may have lighter obligations, though all AI providers should maintain reasonable risk controls appropriate to their context.

What happens if a risk management system identifies severe, unmitigatable risks?

If risk analysis reveals that residual risks cannot be adequately controlled, the system should not be deployed. Providers must document this decision and, where applicable, inform competent authorities. Transparency with users and regulators is essential.

Frequently asked questions

Q: Is a risk management system the same as a quality management system?
A: No, though they overlap. Risk management specifically focuses on identifying and controlling potential harms. Quality management is broader, covering performance standards and consistency. Both may be required for high-risk systems.

Q: Can we use third-party risk assessments instead of conducting our own?
A: [The EU AI Act][1] places responsibility on the provider. You may engage external expertise, but ultimate accountability remains yours. Documentation must demonstrate that appropriate diligence occurred.

Q: How often should the risk management system be reviewed?
A: At minimum, reviews should occur when significant changes are made to the system, when new risks emerge during post-market monitoring, or annually. More frequent review may be warranted for rapidly evolving systems or high-stakes applications.

Q: What role does transparency play in risk management?
A: Transparency—both internal (to teams and leadership) and external (to regulators and users)—is fundamental. Clear communication of known risks and mitigation measures supports accountability and enables informed decisions by users and affected parties.

Q: Are small organisations exempt from risk management requirements?
A: Size alone does not exempt an organisation. If you develop or deploy a high-risk system, [EU AI Act obligations apply][1]. Resources may be scaled appropriately, but the core requirement to identify and manage risks remains.

Sources


This article is informational and does not constitute legal advice. Consult qualified counsel for your specific situation.