Overview
Multi-agent fraud investigation systems go beyond detection to conduct comprehensive investigations. Agent teams gather evidence, analyze patterns, map criminal networks, and build cases—transforming fraud response from reactive cleanup to proactive investigation and prevention.
Architecture
Fraud Alert → Case Intake Agent → Investigation Case
↓
Evidence Collection Agent → Evidence Repository
↓
Pattern Analysis Agent → Fraud Patterns
↓
Network Analysis Agent → Related Entities
↓
Timeline Reconstruction Agent → Event Timeline
↓
Report Generation Agent → Investigation Report
↓
Regulatory Filing Agent → SAR/Compliance Filings
Agent Roles
Case Intake Agent
- Receives fraud alerts from detection systems
- Assesses initial severity and scope
- Assigns investigation priority
- Creates case file and assigns resources
Evidence Collection Agent
- Gathers transaction records and logs
- Collects communication records
- Retrieves account histories
- Preserves evidence chain of custody
Pattern Analysis Agent
- Identifies fraud scheme patterns
- Compares with known fraud typologies
- Detects anomalies in behavior
- Quantifies fraud exposure
Network Analysis Agent
- Maps relationships between entities
- Identifies connected accounts
- Discovers shell companies and nominees
- Visualizes criminal networks
Timeline Reconstruction Agent
- Builds chronological event sequence
- Identifies key decision points
- Correlates actions across systems
- Highlights suspicious timing
Witness/Statement Agent
- Analyzes customer statements
- Identifies inconsistencies
- Prepares interview questions
- Summarizes testimonial evidence
Report Generation Agent
- Compiles investigation findings
- Writes narrative summaries
- Prepares evidence exhibits
- Formats for legal proceedings
Regulatory Filing Agent
- Prepares Suspicious Activity Reports (SARs)
- Ensures regulatory compliance
- Meets filing deadlines
- Tracks regulatory responses
Investigation Types
Account Takeover
1. Identify compromised credentials
2. Trace unauthorized access
3. Map fraudulent transactions
4. Identify money movement paths
5. Assess customer impact
Money Laundering
1. Trace fund sources
2. Identify layering techniques
3. Map shell company networks
4. Document integration methods
5. Prepare regulatory filings
Insurance Fraud
1. Analyze claim patterns
2. Identify staged incidents
3. Verify claimant histories
4. Document inconsistencies
5. Build prosecution case
Real-World Results
Financial Institutions:
- 60% faster investigation completion
- 40% more fraud recovered
- 3x more cases handled per investigator
- Better regulatory examination outcomes
Key Patterns
- Tool Use Pattern: Integration with transaction systems, public records, analytics
- Reflection Pattern: Learn from closed cases to improve future investigations
- Human-in-the-Loop: Investigators validate findings and make judgment calls
- Audit Trail Pattern: Complete documentation for legal proceedings