Compliance Agent

Sanctions Screening

Sanctions Screening

Explainable, pre-filled disposition guidance for every sanctions hit.

Explainable, pre-filled disposition guidance for every sanctions hit.

Where it Helps

The Sanctions Screening agent reviews each hit within a sanctions alert against subject data, name, date of birth, country, address, and ID, builds a structured evidence comparison, and recommends close or escalate with a documented, audit-ready rationale. Disposition logic is deterministic and configurable to each institution's own policy: an identifier hierarchy, a zero-tolerance rule, or a two-factor false-positive threshold. Analysts get a consistent, explainable recommendation on every hit, not an opaque score.

Key Capabilities

Per-Hit Evidence Grid

Name, DOB, country, address, ID, entity type, and gender compared and categorized as match, partial, conflict, or missing.

Multi-Hit Synthesis

Identifies the strongest hit across an alert with up to 20 hits and explains why.

Configurable Disposition Policy

Institutions set identifier hierarchy, zero-tolerance rules, or false-positive thresholds without a code change.

Diminutive and Transliteration Matching

Recognizes name variants (like Muhammad and Mohammed, or William and Bill) that pure fuzzy matching misses.

Audit-Ready Narratives

Every recommendation cites the specific scores, match keys, and evidence behind it in the institution's own format.

Zero Missed True Matches by Design

Any hard-identifier conflict or ambiguous case routes to manual review, never silently cleared.

Deterministic, Not Black-Box Logic

Disposition decisions are rule-based and traceable rather than an unexplained model score.

Full Audit Trail

Every evidence cell, policy rule applied, and final disposition preserved for examination.

How it Works

1

Screening Vendor Generates an Alert

Hits from OFAC, UN, EU, or other watchlists arrive with vendor match scores.

2

Agent Builds the Evidence Grid

Each hit is compared against subject data across every available identifier.

3

Institution Policy Is Applied

The evidence grid is scored against the bank's configured disposition rules.

4

Analyst Reviews the Recommendation

The analyst sees the disposition, confidence, and narrative, then confirms or overrides.

Popular Use Cases

High-Volume Screening

Multi-hit, sparse-data alerts disposed of with a documented basis in minutes instead of case by case.

Crypto Exchange Screening

A zero-tolerance policy configuration ensures any ambiguous hit escalates rather than auto-clearing.

Neobank Compliance Ops

A two-factor false-positive threshold clears low-risk hits automatically while preserving review for genuine ambiguity.