EU AI Act Risk Classifier

How the assessment works

A structured, deterministic interpretation of the EU AI Act risk classification framework — translated into an operational decision model.

No generative AI is used to determine your risk classification.

From regulation to decision logic

The EU AI Act introduces a risk-based classification system for AI systems, but its application can be complex in practice.

This tool translates the regulatory framework into a structured set of decision rules, allowing a fast and consistent preliminary assessment.

Methodology in 3 steps

1

Regulatory mapping

We map the EU AI Act provisions into a structured set of classification criteria.

  • Articles and definitions are analyzed and grouped into decision-relevant elements
  • Key conditions (use case, context, impact) are identified
  • Ambiguities are handled with conservative interpretation logic
2

Decision model

The criteria are translated into a deterministic decision framework.

  • Questions are designed to capture legally relevant factors
  • Each answer activates specific logical branches
  • The system follows a predefined classification path
3

Risk indication

The output provides a preliminary risk classification with contextual explanation.

  • Likely risk category (e.g. prohibited, high-risk, limited risk)
  • Key drivers behind the classification
  • Directional indication for next steps

What this assessment is designed for

  • Early-stage compliance screening
  • Internal decision support
  • Understanding potential regulatory exposure before legal review

What this tool is — and is not

What it is

  • A structured pre-assessment based on the EU AI Act
  • A consistent and repeatable classification approach
  • A support tool for compliance and product teams

What it is not

  • ×Legal advice
  • ×A formal compliance certification
  • ×A substitute for professional legal analysis

Design principles

Clarity over complexity

The regulatory logic is simplified without losing essential meaning.

Determinism over opacity

The same inputs always produce the same output.

Conservative interpretation

When ambiguity exists, the model prioritizes safer classification paths.

Limitations

The assessment is based solely on the information provided by the user and does not account for:

  • Full system architecture or technical implementation details
  • Jurisdiction-specific interpretations or future regulatory updates
  • Contextual factors not explicitly captured in the questionnaire

Part of a broader compliance toolkit

This tool is the first component of a broader set of AI Act compliance tools designed to support organizations across different stages:

  • Initial classification
  • Risk management and documentation
  • Ongoing compliance monitoring

Start your assessment

Get a structured preliminary classification in minutes and understand where your AI system may fall under the EU AI Act.

Start Free Assessment

Free assessment • 2–3 minutes • No signup required