Turn an AI use case into its full regulatory footprint — every domain it touches, from AI law and data protection to cyber, product safety and sector rules — with the obligations, the architecture and the evidence you owe, in about two minutes.
Community-curated knowledge graph — every claim carries its citation across law, engineering and governance. Every change traceable →
The inverse traversal. Tell the graph what you already run, and it ranks all use-case profiles by how much of their required technical control set you already cover — an opportunity view, not only an obligation view. Nothing is stored.
Target market(s)European UnionUnited States (federal)change
Highest-leverage gaps are flagged when the missing component is a jurisdiction-specific legal driver outside your selected markets.
What coverage means here: a use case is covered when every control it requires maps to at least one component in your stack. A gap is therefore not a score — it is a specific missing edge in the graph, named below with the control it would satisfy.
1 runnable today · 7 within reach · 70 further out, from 3 owned components.
Coverage speaks to the technical control set only — not to the organisational obligations (governance, documentation, human oversight staffing) a use case carries. Open the profile for those.
Completes nothing on its own. Also required by 24 not-yet-runnable use cases.
Legally driven in CN, KR, JP, SG, IN, AU, ID, AE, SA, NG, ZA, KE, RW, GB, CA, BR, CH, outside your selected markets — weigh this before treating it as universal leverage.