Methodology
How the lab produces its results, what it is grounded in, and where the limits are. The goal is that every output is explainable and traceable to a primary source.
Deterministic scoring (no AI)
Matches and scores are calculated by a fixed weighted model, not AI. In TypologyIQ each typology scores firm type 30, product 25, customer 20 and risk theme 25, awarding the weight when any of your selections applies. The same inputs always produce the same result, and the "Why this matched" panel shows exactly which of your selections contributed which points.
Cited to authoritative frameworks
Typologies, controls and KYC requirements map to primary sources. Every citation can be opened in place to read and copy the reference; the lab does not navigate you off-site. The standards used:
A bounded role for AI
AI is used only to write the plain-English "Risk Intelligence" summary that accompanies a result. It restates and explains the deterministic output; it does not introduce new facts or citations, and it does not change the score. AI output is labelled as AI-assisted and is not legal advice. Treat it as a starting point and verify against the cited sources.
Real enforcement data
The evidence and benchmark views draw on 44 real FCA enforcement cases from the public fines dataset (regactions.com / fcafines), each linked to its final notice. Where a case is annotated, the lab also shows the controls that would have caught the failure. This data was last refreshed on 2026-06-04.
Limits
The lab is a design and education aid, not legal advice and not a substitute for your firm's own risk assessment. Coverage is broad but not exhaustive, regulation changes, and you should always verify against the cited primary source and your own policies before relying on an output.