Fuzzy and phonetic matching
Name resolution across transliteration variants, patronymics, corporate suffixes and reversed name order, with a tunable score threshold per risk appetite.
Our in-house AML and CFT verification platform — screening subjects against international sanctions, PEP and adverse-media sources, with continuous monitoring and an audit-ready record of every decision.
Financial crime controls fail most often not because a list was missing, but because the work around the list was manual: spreadsheets of names, screenshots of search results, and decisions that cannot be reconstructed months later. CFoncier Checker is our response to that problem — a single system in which a subject is captured once, screened against every relevant international source, and carried through review, decision and ongoing monitoring without leaving an evidential gap.
The platform is being developed for our own compliance function, against the standards we are held to: risk-based customer due diligence, beneficial-ownership transparency, sanctions ownership and control tests, and the ability to reproduce any historical screening result exactly as it stood on the day it was run.
It is deliberately not an automated decision engine. The system finds, scores and evidences; a named reviewer decides. That separation is what makes the output defensible in front of a regulator, a correspondent bank or a counterparty's own compliance team.
A representation of the screening console: subject record, live match panel and the alert queue that drives analyst review.
Subject record
Norvik Maritime Holding Ltd
Composite risk
Screening result
12 sources · 0.4sAlert queue
| ID | Subject | Typology | Score | Status |
|---|---|---|---|---|
| ALR-4192 | Norvik Maritime Holding Ltd | Sanctions — ownership | 92 | Escalated |
| ALR-4188 | A. Kovalenko | PEP — close associate | 74 | In review |
| ALR-4181 | Delta Agro Trading FZE | Adverse media — fraud | 61 | In review |
| ALR-4176 | M/V Silver Crest | Vessel — port call pattern | 55 | Discounted |
| ALR-4170 | Hensel & Partner GmbH | Name match — low confidence | 38 | Cleared |
Illustrative interface — data shown is fictitious
Name resolution across transliteration variants, patronymics, corporate suffixes and reversed name order, with a tunable score threshold per risk appetite.
Natural persons, legal entities, vessels and aircraft are resolved into a single subject record with aliases, dates of birth, registration numbers and known addresses.
Ultimate beneficial ownership is traced through layered structures, with automatic application of aggregate ownership tests for indirect sanctions exposure.
Onboarded subjects are re-screened whenever a source list changes, so a new designation surfaces as an alert rather than waiting for periodic review.
Jurisdiction, sector, product, delivery channel and ownership factors combine into a weighted score that drives the required level of due diligence.
Every hit, discount, escalation and approval is recorded with user, timestamp, list version and written rationale, producing an examinable decision file.
Coverage is organised by publisher rather than by vendor feed, so that the provenance and version of every match can be evidenced independently.
Sanctions and asset-freeze designations
United States designations and sectoral programmes
Restrictive measures across member states
United Kingdom financial sanctions targets
Switzerland, Canada, Australia, Japan and others
Politically exposed persons, relatives and close associates
Debarment, disqualification and warning lists
Structured negative-news classification by risk typology
Subject data is captured manually, by bulk upload or through the API, and normalised into a canonical record.
The record is matched against every enabled list, with each source version pinned for reproducibility.
Alerts are triaged in a four-eyes queue; analysts confirm or discount matches with a mandatory rationale.
The case is cleared, escalated to enhanced due diligence, or refused, with the outcome bound to the risk score.
Cleared subjects enter continuous monitoring; list changes reopen the case automatically.
Case files, management information and regulator-facing extracts are produced on demand.
Each screening run is stamped with the exact version of every list used. A result obtained a year ago can be reproduced exactly as it stood on that date.
Analyst, reviewer and approver roles are distinct. No single user can raise, discount and close a high-risk alert alone.
Only fields required for screening are retained, with configurable retention periods and jurisdiction-aware storage.
Threshold changes, list deactivations and whitelist entries are themselves logged events requiring approval and rationale.
Institutions wishing to be considered for early access, or to discuss integration with an existing onboarding stack, are welcome to contact us. Our analytical platform is described on the CFoncier Analytics page.
CFoncier Checker is a proprietary system under development. Nothing on this page constitutes an offer of software, a warranty of regulatory compliance, or legal advice. Screening tools support, but do not replace, an institution's own obligations under applicable AML and CFT law.