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Seyhun Akyurek
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Banking

AML Investigation Assistant

Automate AML case investigation — transaction pattern analysis, SAR narrative generation, and case summarization for FIUs.

Azure AI Foundry
Azure AI Search
Python
FastAPI
Azure Database for PostgreSQL
Azure Cache for Redis
Azure Kubernetes Service
80% faster
Case Processing
92% pass
SAR Quality
97%
Pattern Detection
55%
Cost Reduction

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AML Investigation Assistant · Agent Mesh

ORCHESTRATORBankingTransaction Ana…ACTIVESAR DrafterNODE 02Case ManagerNODE 03Compliance Offi…NODE 0412345678
Step 1< 15 minutes

Alert Intake

Receive and triage AML alerts from monitoring systems.

Alert ingestionPriority classificationInitial screeningCase assignment

Technical Design

AI-assisted AML investigation platform that automates transaction analysis, SAR narrative generation, and case management. Integrates with existing transaction monitoring systems to reduce investigation time and improve SAR quality.

System Components

Alert Processor

Ingests and triages AML alerts from monitoring systems

Transaction Analyzer

AI-powered pattern detection and anomaly identification

SAR Generator

Automated narrative generation with regulatory compliance

Case Manager

Investigation workflow and evidence organization

Quality Engine

Automated quality checks and compliance validation

Data Flow

Alert Intake
Data Gathering
Pattern Analysis
Investigation
SAR Drafting
Quality Review
Filing
Case Closure

Technology Choice

Azure AI Foundry + LangChain

Azure AI Foundry provides compliant AI models for financial crime analysis. LangChain orchestrates complex multi-step investigation workflows with tool integration.

Alternatives Considered

AWS Bedrock + LangGraph, Google Vertex AI + CrewAI

Core Frameworks

Azure AI Foundry

Compliant AI models for financial analysis

LangChain

Investigation workflow orchestration

Azure AI Search

Transaction and case data indexing

FastAPI

REST API for investigator dashboard

Implementation Plan

Alert Integration

3 weeks
  • Alert ingestion
  • Triage logic
  • Case creation

Analysis Engine

4 weeks
  • Pattern detection
  • Risk scoring
  • Network analysis

SAR Generation

3 weeks
  • Narrative templates
  • Regulatory formatting
  • Quality checks

Case Management

3 weeks
  • Workflow UI
  • Evidence management
  • Reporting dashboard

Key Milestones

Alert ingestion active
Pattern detection >95% accuracy
SAR narratives passing QA >90%
End-to-end case workflow complete

Risk Mitigation

Human review for all SAR filings
Conservative thresholds to avoid false negatives
Escalation path for complex cases
Regular model retraining with investigator feedback

Key Features

Transaction Pattern Analysis

AI-powered detection of suspicious transaction patterns, layering, and structuring.

SAR Narrative Generation

Automated Suspicious Activity Report narrative drafting with regulatory compliance.

Case Summarization

Intelligent case summarization with key findings, risk indicators, and recommended actions.

Network Analysis

Identify connected entities and beneficial ownership structures across transactions.

Risk Scoring

Real-time risk scoring of accounts, transactions, and customer relationships.

Audit Trail

Complete investigation audit trail with decision rationale and evidence links.

How It Works

1

Alert Intake

< 15 minutes

Receive and triage AML alerts from monitoring systems.

Alert ingestion
Priority classification
Initial screening
Case assignment
2

Data Gathering

< 30 minutes

Collect transaction data, customer profiles, and external intelligence.

Transaction history
Customer KYC
External screening
Open source intel
3

Pattern Analysis

< 1 hour

AI analyzes transactions for suspicious patterns and indicators.

Velocity checks
Pattern matching
Network analysis
Risk scoring
4

Investigation

2-4 hours

Deep-dive investigation with AI-assisted evidence collection.

Evidence gathering
Timeline construction
Entity linking
Anomaly documentation
5

SAR Drafting

< 1 hour

Generate SAR narrative with findings and supporting evidence.

Narrative generation
Evidence compilation
Regulatory formatting
Quality check
6

Quality Review

1-2 hours

Compliance officer reviews investigation and SAR for accuracy.

Content review
Regulatory compliance
Factual accuracy
Escalation if needed
7

Filing

< 30 minutes

Submit SAR to FinCEN and maintain internal records.

Filing submission
Record keeping
Confirmation tracking
Follow-up scheduling
8

Case Closure

< 30 minutes

Close investigation with lessons learned and model feedback.

Closure documentation
Model feedback
Process improvement
Training updates

Multi-Agent Architecture

Transaction Analyst

Analyzes transaction patterns for suspicious activity indicators.

  • Pattern detection
  • Anomaly identification
  • Risk scoring
  • Network mapping

SAR Drafter

Generates regulatory-compliant Suspicious Activity Report narratives.

  • Narrative generation
  • Regulatory formatting
  • Evidence integration
  • Quality review

Case Manager

Organizes and summarizes investigation cases with key findings.

  • Case compilation
  • Summary generation
  • Timeline creation
  • Recommendation formulation

Compliance Officer

Reviews investigations for regulatory compliance and quality assurance.

  • Quality assurance
  • Regulatory review
  • Escalation decisions
  • Training feedback

Use Cases

Transaction Monitoring Alerts

Investigate alerts generated by transaction monitoring systems.

SAR Filing

Generate and file Suspicious Activity Reports to FinCEN.

Case Management

Manage AML investigation cases from alert to closure.

Regulatory Examination

Prepare for regulatory examinations with organized investigation records.

Training & Onboarding

Accelerate new analyst onboarding with AI-guided investigations.

Trend Analysis

Identify emerging financial crime typologies across cases.

Interested in AML Investigation Assistant?

Get in touch to discuss how this solution can be tailored to your needs.