Design financial crime controls with confidence
Map AML typologies to detection controls, define partner control ownership, and browse a controls library mapped to real enforcement actions, built on authoritative frameworks.
Generic AML tooling wasn't built for how financial crime moves
Off-the-shelf control libraries hand you a flat checklist. They don't map to your firm type, they ignore how money actually flows through your partners, and they can't show you which controls would have stopped a real enforcement case. So teams over-build in some places, leave gaps in others, and can't evidence why. FinCrime Control Lab starts from the typology and works back to the exact controls you need, and no more.
Everything you need to design controls
From the first typology match to a committee-ready governance pack, in one place, deterministically scored.
Typology mapping
Match 37 FATF & Wolfsberg-sourced typologies to your firm, product and risk profile.
Open F-02Detection logic
Rules, thresholds and scenarios, with the data each one needs to actually fire.
Open F-03Data requirements
Know exactly which data each control depends on before you start building.
Open F-04Control ownership
A RACI across you and your partners, with control gaps flagged automatically.
Open F-05Enforcement-mapped
Every control linked to the real FCA cases it would have prevented.
Open F-06Governance packs
Pre-launch conditions, checklists and committee-ready output you can export.
OpenTypologyIQ
Select your firm type, product, and risk profile to receive a tailored control framework: detection logic, data requirements, investigation workflows, and governance checklists, scored deterministically.
PartnerControlMap
Map every partner payment flow, assign control ownership across you and your partners, and surface the gaps, delivered as a RACI matrix with a committee-ready governance pack.
Controls Reference Library
Browse the FinCrime controls your firm needs, grouped by risk theme, filtered by firm type, and mapped to real FCA enforcement actions so you can see exactly which controls would have prevented them.
Every tool, one workflow
Each tool is a stage in one path: profile, risks and enforcement, build, then govern and export. Free, deterministic and grounded in real enforcement.
AI in Research
Profile a firm and get its likely financial-crime risk themes, then jump into TypologyIQ pre-filled.
Open T-02TypologyIQ
Map AML typologies to a tailored control framework, scored deterministically.
Open T-03PartnerControlMap
Define partner payment flows → RACI, control gaps and a governance pack.
Open T-04Screening Control Designer
Design sanctions, PEP, adverse-media and payment screening controls.
Open T-05Controls Maturity
Assess a control area against a 5-level model and get a remediation roadmap.
Open T-06Controls Library
Browse controls by risk theme and firm type, mapped to real enforcement.
Open T-07KYC Requirements Matrix
CDD requirements by entity type and jurisdiction, cited to the rules, across the UK, US, EU, Germany, France, Singapore and Hong Kong.
Open T-08Firm Profiles
Pick a firm archetype (neobank, EMI, bank, crypto) to see its services, ranked inherent risks, applicable typologies and real enforcement.
Open T-09Control Builder
Adapt controls to your firm (thresholds, owners, systems) with guidance on what good looks like, then export a committee-ready register.
Open T-10Enforcement
Real FCA fines broken down into what failed and the controls that would have caught it. Start a build from any case.
Open T-11Glossary
Plain-English definitions of the financial-crime terms used across the tools, each cited to a primary source.
Open T-12Methodology
How the scoring works, where AI plays a bounded role, the cited frameworks, the enforcement-data refresh date and the limits.
OpenStart from the typology.
Work back to the exact controls.
Free, deterministic, and grounded in real enforcement. Design a control programme you can defend in front of any committee.