Compliance
AML/CFT Filter
Fewer false positives. Faster investigations. Defensible audit trails.
In development — prospect engagement open
The problem
Ninety percent false positives
Rule-based screening produces 90 to 96 percent false-positive alerts. A mid-size bank can need ten full-time investigators just to clear the noise before any genuine suspicious activity is examined, because static rules cannot distinguish context.
What it does
Sanctions matching that suppresses noise, not alerts
The filter screens each transaction and customer against a consolidated UN, OFAC, EU and UEMOA sanctions list using multi-field matching, then an AI layer tiers each alert: high-confidence blocks automatically, medium routes to an investigator with a case summary, low auto-closes with a full audit trail.
Regulatory alignment
The filter is designed to satisfy the functional requirements of UEMOA Instruction 01-2006 and its successors, GAFI Recommendation 10 (customer due diligence) and Recommendation 16 (wire transfer), and the Basel Committee's guidelines on sound management of risks related to money laundering and financing of terrorism. OFAC screening covers SDN, Consolidated Sanctions List, and sectoral lists.
Sanctions list updates are sourced from authoritative feeds and validated before ingestion. Update frequency is configurable per list — daily for OFAC and UN Security Council, monthly minimum for others — with fallback procedures and audit records for every update cycle.
Alert workflow and audit trail
Every alert generated, escalated, auto-closed, or manually resolved is written to an immutable audit log with timestamp, operator identity, decision rationale, and supporting evidence. The audit trail is designed to satisfy regulatory inspection requests without manual reconstruction.
The compliance dashboard shows real-time metrics: alerts generated, alerts auto-closed, alerts escalated, average investigation time, and false positive rate trend. These metrics are the inputs your compliance officer needs for the periodic reporting required under UEMOA and GAFI frameworks.
Integration
The filter is architected as a standalone module with read-only access to core banking transaction data. Integration interfaces are REST API for real-time screening and batch file exchange for end-of-day bulk processing. Both modes can operate in parallel, with real-time screening covering high-risk transaction types (cash over threshold, cross-border transfers to flagged jurisdictions) and batch covering the remainder.
Status and engagement
The AML/CFT Filter is in active development. We are engaging with financial institutions who have immediate screening requirements to shape the feature set and validate the regulatory coverage against their specific supervisory frameworks. If you operate under UEMOA supervision or are preparing for a GAFI mutual evaluation, contact us — your requirements will directly influence the roadmap.
Regulatory coverage
Related products
Evidence
EviGen
EviGen automates the collection of the configuration and transaction-state evidence that AML/CFT auditors and regulators request — the same controls, collected automatically.
Quantification
cVaR
cVaR translates the residual risk that your AML/CFT filter does not eliminate into a quantified financial exposure — the number your board and regulator want.
Every product is field-tested