Transaction investigation teams are crucial in preventing fraud and money laundering. While they must file Suspicious Activity Reports (SARs) when alerts arise, their real value is in the insights gained during investigations. This guide will help you structure your investigation workflow to extract predictive insights.
Scope: What This Guide Covers
This guide focuses on transaction investigation processes for AML teams at banks and financial institutions. It includes:
- Investigation workflow from alert generation to SAR filing or case closure
- Data collection and analysis techniques to reveal patterns
- Cross-functional collaboration to improve detection
- Database design for tracking money laundering and terrorist financing risk evolution
This guide does not cover initial transaction monitoring rule configuration or customer due diligence procedures.
Key Concepts and Definitions
Transaction Alert: A flag from your monitoring system indicating unusual activity or matches to known patterns.
Case Management System: The platform where alerts are logged for investigation. The SAR filing timeline begins here.
Six-Month Review Window: The standard period for reviewing account activity once an alert is generated, providing context for the flagged transaction.
Unfiled Case: An investigation that didn't result in a SAR, requiring documented rationale and a decision on continued monitoring.
Supplemental SAR: A follow-up filing if suspicious activity continues after the initial SAR, often leading to account closure.
Investigation Workflow Breakdown
Alert Triage
When an alert is generated, check the customer's risk profile against the transaction. If they align, close the alert. If not, request transaction details from the customer. Their response will determine if you escalate to a full investigation.
Case Initiation
Once you decide to investigate, the alert enters your case management system, starting the SAR filing clock. Your system should allow you to query external databases and consolidate information for analysis and management review.
Investigation Focus
Key questions to address:
- Where did the money originate?
- What happened while funds were at your institution?
- Where did the money go when it left?
These questions help identify typologies, weak points in controls, and customer segments needing enhanced monitoring.
Post-Filing Monitoring
After filing a SAR, conduct a post-investigation review to see if suspicious activity continues. If it does, prepare a supplemental SAR and initiate account closure procedures.
Implementation Guidance
Build a Historical Database
Create a database recording risks, incidents, and investigation outcomes. Structure it around parameters like transaction types, customer segments, geographic patterns, and control failures. This database becomes a predictive tool, helping you anticipate future incidents.
Establish Cross-Training Sessions
Hold monthly meetings where investigators discuss cases and trends. This cross-training helps your team understand risks across different processes. For example, an investigator handling wire transfers can learn from a colleague reviewing cash deposits.
Document Unfiled Cases Rigorously
When you don't file a SAR, document why in the customer file. Include:
- Reasons the activity didn't meet SAR criteria
- Whether you'll continue monitoring the account
- Pattern indicators that might inform future investigations
Unfiled cases provide valuable intelligence on borderline activity and evolving customer behavior.
Design Your Case Management Integration
Your case management system should consolidate data from multiple sources: transaction records, customer profiles, account activity logs, and external databases. This prevents investigators from wasting time on data entry instead of pattern analysis.
Common Pitfalls
Treating Investigations as Isolated Events: Each investigation is part of a larger pattern. Connect cases across time and customer segments to unlock predictive insights.
Neglecting Unfiled Cases: Focus on both SAR-generating and unfiled cases. The latter reveal detection boundaries and suspicious but non-reportable behavior.
Siloing by Channel: Encourage communication between different investigation teams to prevent missing cross-channel schemes.
Weak Post-SAR Monitoring: Filing a SAR isn't the end. Track ongoing suspicious activity to trigger supplemental SARs and account closures.
Static Risk Profiles: Update customer risk profiles based on investigation findings. Adjust risk ratings as needed.
Quick Reference Table
| Investigation Stage | Key Action | Timeline Trigger | Documentation Required |
|---|---|---|---|
| Alert Generation | Review customer risk profile vs. transaction | N/A | Profile comparison notes |
| Customer Outreach | Request transaction purpose/nature | Within alert review period | Customer response or non-response record |
| Case Initiation | Enter alert into case management system | SAR filing clock starts | Case opening justification |
| Six-Month Review | Analyze account activity lookback | At case initiation | Activity summary and pattern analysis |
| SAR Decision | File SAR or document unfiled case | Per regulatory timeline | SAR narrative or unfiled justification |
| Post-Filing Review | Monitor for continued suspicious activity | Ongoing after SAR filed | Monitoring notes and supplemental SAR trigger assessment |
| Account Closure | Initiate closure procedures | After second SAR | Closure approval and timeline |
Making Investigations Predictive
Transform your investigation history into a dataset for analysis. Look at conditions leading to money laundering or terrorist financing incidents: control weaknesses, management oversights, and customer vulnerabilities. Assess if these conditions exist elsewhere in your institution.
Your investigation database should answer: Which departments show similar risk patterns? Which customer segments exhibit early-stage suspicious behavior? Which controls failed in past incidents and haven't been fixed?
This proactive analysis turns transaction investigations from a compliance task into a strategic fraud prevention tool. You're not just documenting past events; you're predicting future ones.
