Ten agent workflows for the AML team — automated suspicious entity screening, shell company detection, beneficial ownership research, transaction pattern intelligence, sanctions evasion monitoring, trade-based laundering detection, correspondent banking risk assessment, PEP screening enrichment, geographic risk mapping, and regulatory reporting intelligence — providing comprehensive domain-level AML signals.
AI agent screens counterparties and transaction participants by analyzing their web presence for legitimacy indicators, business activity signals, and red flags that traditional name-matching screening systems miss.
AI agent identifies potential shell companies by analyzing web presence patterns, corporate network structures, domain registration data, and operational indicators that distinguish legitimate businesses from front entities.
AI agent investigates beneficial ownership structures by analyzing corporate web properties, leadership pages, subsidiary networks, and cross-referenced domain registration data to identify ultimate beneficial owners behind complex corporate structures.
AI agent enriches transaction monitoring with web-derived intelligence — analyzing counterparty business profiles, geographic risk indicators, and industry classifications to contextualize unusual transaction patterns and reduce false positives.
AI agent monitors for sanctions evasion by tracking entity name changes, corporate restructuring, domain migrations, and web presence alterations that sanctioned individuals and entities use to circumvent restrictions.
AI agent identifies trade-based money laundering by analyzing importer/exporter web presences, verifying claimed business activities, comparing trade volumes against digital footprint size, and detecting phantom shipment indicators.
AI agent evaluates correspondent banking relationships by monitoring respondent bank web properties, regulatory standing, geographic risk profiles, and AML program indicators to support ongoing due diligence and risk scoring.
AI agent enriches Politically Exposed Person screening by analyzing government agency websites, political party domains, foundation websites, and family office digital footprints to identify PEP connections that name-matching systems miss.
AI agent maps geographic money laundering risk by analyzing transaction counterparty domains for jurisdiction indicators, hosting locations, language patterns, and regulatory environment signals across high-risk geographies.
AI agent supports SAR and CTR filing by assembling web-derived evidence packages, generating narrative summaries, and providing supporting documentation that strengthens regulatory filings and law enforcement referrals.
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