EU AI Act Conformity Assessment for High-Risk AI Systems

Strengthen AI governance and align with the EU AI Act and ISO standards

EU AI Act Conformity Assessment for High-Risk AI Systems

  • Accelerate Market Access

  • Align with legal, ethical, and forward-looking regulatory standards

  • Strong risk posture, enhancing trust and credibility.

What Is an AI Act Conformity Assessment?

A conformity assessment under the EU AI Act is a structured evaluation process to verify that high-risk AI systems meet regulatory requirements before being placed on the market or put into service. It assesses whether appropriate controls are implemented across areas such as risk management, data governance, transparency, human oversight, accuracy, robustness, and cybersecurity.Depending on the system and use case, the assessment may be conducted internally or require involvement from a notified body. The outcome is a formal declaration that the AI system complies with the EU AI Act, supported by technical documentation, testing evidence, and governance controls.

Our Approach

1

Assess

Define scope, review policies, governance and data handling practices.

2

Analyse

Benchmark against legal requirements and best practices, identify gaps and prioritise risks.

3

Plan

Provide a comprehensive assessment with clear remediation steps, tailored to your risk profile.

4

Support

Ongoing advisory support helps implement recommendations, train staff and adapt to regulatory or business changes.

The Result: Clear Path to Market Access and Audit Readiness

Prepare for EU AI Act Conformity Assessment Process

Prepare your high-risk AI systems to successfully undergo conformity assessment, including notified body review where required.

Support with conformity assessments, documentation, and reviews to ensure AI systems are transparent, defensible, and aligned with regulatory standard

Defensible and Audit-Ready Documentation

Competitive Advantage in Procurement

Two people analyzing data on a large screen with charts, graphs, and a magnifying glass symbol, in a business or tech setting.

Build complete technical documentation and evidence to support regulatory scrutiny and third-party assessment.

Frequently Asked Questions

  • High-risk AI systems, as defined under the EU AI Act, require a conformity assessment before they can be placed on the market or put into service. This includes systems used in areas such as employment decisions, credit scoring, critical infrastructure, law enforcement, and biometric identification. The classification is based on the use case and impact, not just the technology itself, which makes proper scoping and classification a critical first step.

  • Conformity assessment must be completed before the AI system is deployed or enters the EU market. In practice, it should be integrated early into the development lifecycle. Waiting until the final stages often leads to delays, costly redesign, and documentation gaps. Organizations that embed requirements from the beginning move faster and avoid regulatory friction.

  • Organizations must produce comprehensive technical documentation demonstrating compliance with the EU AI Act. This includes risk management processes, data governance practices, system design documentation, testing and validation results, human oversight mechanisms, and measures for accuracy, robustness, and cybersecurity. This documentation must be clear, structured, and audit-ready, as it forms the basis for both internal and external assessment.

  • Most organizations do not struggle with understanding the requirements, but with operationalizing them across teams and systems. Common challenges include aligning legal, risk, and technical stakeholders; embedding controls into development workflows; managing third-party dependencies; and maintaining consistent documentation. Conformity assessment often exposes these gaps, which is why early preparation and structured governance are critical.

  • Yes. Most conformity assessment preparation activities can be conducted remotely, including documentation review, gap analysis, stakeholder workshops, and governance design. This allows organizations to progress efficiently without disruption to ongoing operations. Where needed, on-site sessions can be arranged for deeper alignment, training, or validation, but a fully remote approach is typically sufficient to achieve assessment readiness.