Turn an AI use case into its EU AI Act risk class, the regulations it triggers, the obligations, the architecture and the evidence you owe — in about two minutes.
Community-curated knowledge graph, peer-reviewed by experts across law, engineering and governance. Every change traceable →
Every regulation in the graph resolves into concrete technical components — through an article obligation, a control objective, a design pattern or an evidence artefact that a component must produce. Pick a regulation to see its technical surface, how each component is derived, and in which of the triggering use cases it is actually part of the required stack. The gap counts show where the graph reaches a component that no use case yet requires — those are open contribution targets, not settled answers. Open the full graph →
Governs commercial practices toward consumers: dynamic and personalised pricing, ranking transparency and misleading omissions in digital-shelf and marketplace operations.
1 components0 articles / obligations4 triggering use casesopen in graph
Data Lineage & Versioning
50% of use cases
Provenance tracking of datasets, features and embeddings; write-time attribution (source, actor, timestamp, confidence).
named in regulationUnfair Commercial Practices Directive → Data Lineage & Versioningprice and ranking decision provenance