SkillsLib.ai

AML Transaction Pattern Analyzer

Analyze transactions for money laundering patterns and generate compliant Suspicious Activity Rep...

3.8(29 reviews)
500+ downloads
Updated Sep 2026
Verified SafeSecurity VerifiedThis skill was analyzed by our AI security scanner for harmful content including data exfiltration, system manipulation, credential theft, and prompt injection. No threats were detected.

What You Can Do

You can rapidly screen transaction datasets for money laundering indicators—structuring, circular flows, trade-based laundering, and beneficial ownership anomalies—then quantify risk factors and organize findings into Suspicious Activity Reports that withstand regulatory scrutiny. The skill maps detected patterns to FinCEN, FATF, and jurisdiction-specific regulations, creating documented audit trails that justify risk ratings to compliance teams and investigators.

Features

Pattern Detection

identifies structuring, circular flows, trade-based laundering schemes, and unusual beneficiary chains within transaction datasets

Risk Stratification

quantifies AML concern factors and ranks transactions by risk level using consistent, defensible methodologies

Regulatory Mapping

cross-references findings with FinCEN guidelines, FATF recommendations, and jurisdiction-specific compliance requirements

SAR Documentation

generates investigation summaries with structured evidence organization that meets financial intelligence unit submission standards

Beneficial Ownership Analysis

traces entity relationships across multiple accounts to uncover hidden ownership structures and control chains

Audit Trail Creation

documents all detection rationale and scoring decisions for regulatory review and legal defensibility

Cross-Border Flow Analysis

evaluates international transactions for consistency with declared business purpose and customer risk profile

Narrative Reporting

converts raw findings into coherent investigation summaries suitable for compliance officers and external regulators

Example Output

Example 1: Structuring Detection Report

  • Customer ABC Corp shows 47 transactions of $9,850–$9,999 over 8 weeks to different banks
  • Risk Score: 8.5/10 (High) — Pattern consistent with structuring to evade $10K reporting threshold
  • Regulatory Reference: FinCEN structuring guidelines, 31 CFR §1010.410
  • Recommended Action: File SAR within 30 days; freeze pending investigation

Example 2: Trade-Based Laundering Analysis

  • Company XYZ imports textiles at $450/unit; identical goods from same supplier listed at $1,200/unit elsewhere
  • Risk Score: 7.2/10 (Medium-High) — Over-invoicing suggests potential value transfer mechanism
  • Evidence: Comparative market analysis, supplier verification gaps, beneficiary destination (high-risk jurisdiction)
  • Recommended Action: Request import documentation and beneficiary confirmations

Example 3: Beneficial Ownership Chain Mapping

code
Account Holder: Entity A (shell corp)
  └─ Beneficial Owner: Individual B (nominee, known associate of sanctioned entity C)
      └─ Control Chain: Individual D (verified offshore address, 5+ accounts opened simultaneously)

Risk Score: 9.1/10 (Critical) — Multi-layer obfuscation with high-risk jurisdictions

What's Included

  • SKILL.md instruction file: complete skill configuration and pattern definitions
  • Transaction Screening Framework: checklist of 40+ red flag indicators (structuring, circular flows, beneficial ownership anomalies)
  • Risk-Scoring Methodology: weighted quantification template with FinCEN/FATF alignment
  • SAR Documentation Template: structured outline for suspicious activity reports with evidence organization sections
  • Regulatory Cross-Reference Guide: mapping suspicious patterns to FinCEN, FATF, and jurisdiction-specific AML rules

Who It's For

  • Forensic accountants and financial investigators conducting AML due diligence and suspicious activity investigations
  • Compliance officers at financial institutions preparing Suspicious Activity Reports for regulatory submission
  • Financial intelligence units (FIUs) and law enforcement agencies screening transaction datasets for money laundering indicators
  • Internal audit teams assessing customer risk profiles and transaction legitimacy
  • Regulatory consultants and AML specialists supporting compliance audits and regulatory examinations

Best For

  • Screening large transaction datasets (100+ transactions) for systematic AML red flags
  • Organizing evidence and developing narratives for Suspicious Activity Reports (SARs)
  • Mapping beneficial ownership chains across multiple entities and accounts
  • Investigating cross-border flows for consistency with declared business purpose
  • Quantifying and documenting AML risk factors for compliance team review and regulatory defense

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