Anti-Money Laundering (AML) and Fraud Detection
Real-time transaction monitoring and intelligent fraud prevention with 96% detection accuracy and 8% false positive rate.
Business Challenge
A major bank processes 12 million transactions daily with $4.2B in losses from fraud and $18M in AML compliance fines, requiring 850 analysts for manual reviews with 92% false positive rate.
Agent Collaboration Architecture
Detailed Agent Workflow
1. Sindhan Discover - Transaction Network Mining
- Input: Transaction histories, entity relationships, account connections
- Processing: Graph analytics reveal hidden money laundering networks
- Output: Network maps, suspicious entity clusters, money flow patterns
- Discovery: Identified 234 previously unknown shell company networks
2. Sindhan Analyze - Anomaly Detection
- Input: Real-time transactions, customer profiles, historical patterns
- Processing: ML models detect anomalies across 180+ risk indicators
- Output: Risk scores, anomaly alerts, typology classifications
- Accuracy: 96% detection rate with 8% false positive rate
3. Sindhan Predict - Threat Forecasting
- Input: Current patterns, emerging typologies, global threat intelligence
- Processing: Predictive models forecast fraud attempts and evolving schemes
- Output: Risk predictions, emerging threat alerts, vulnerability assessments
- Foresight: Predicts new fraud patterns 2-3 weeks before widespread occurrence
4. Sindhan Decide - Investigation Prioritization
- Input: Risk scores, regulatory requirements, resource availability
- Processing: Multi-criteria optimization prioritizes investigations
- Output: Alert rankings, investigator assignments, action recommendations
- Efficiency: Reduces investigation workload by 73% through smart prioritization
5. Sindhan Execute - Automated Response
- Input: Investigation decisions, regulatory protocols, customer impact
- Processing: Executes approved actions while maintaining compliance
- Output: Account restrictions, SAR filings, customer notifications
- Compliance: 100% regulatory adherence with full audit trail
6. Sindhan Optimize - Continuous Learning
- Input: Investigation outcomes, false positives, emerging patterns
- Processing: Reinforcement learning improves detection models
- Output: Updated models, refined thresholds, new detection rules
- Evolution: Models improve 2-3% monthly through continuous learning
7. Sindhan ROI - Value Orchestration
- Input: Fraud losses prevented, compliance costs, operational metrics
- Processing: Real-time ROI calculation and resource optimization
- Output: Investment recommendations, resource allocation guidance
- Impact: Coordinates agents to maximize fraud prevention ROI
Implementation Results
Fraud Prevention
- Fraud losses reduced from $4.2B to $1.1B (74% reduction)
- Detection rate improved from 68% to 96%
- False positive rate reduced from 92% to 8%
Compliance Benefits
- Zero AML fines since implementation
- SAR quality score improved by 89%
- Regulatory exam findings reduced by 94%
Operational Efficiency
- Analyst productivity increased 4.2x
- Investigation time reduced from 4 hours to 35 minutes
- Manual review volume reduced by 81%
Key Features
Real-time Monitoring
- 24/7 Transaction Surveillance: Continuous monitoring of all payment channels
- Instant Risk Scoring: Sub-second risk assessment for every transaction
- Dynamic Thresholds: Self-adjusting detection parameters based on risk patterns
- Multi-channel Coverage: Cards, wires, ACH, mobile payments, and digital wallets
Advanced Analytics
- Behavioral Analytics: Establishes normal patterns and detects deviations
- Network Analysis: Identifies connected entities and suspicious relationships
- Typology Detection: Recognizes known money laundering patterns
- Predictive Modeling: Forecasts emerging threats and scheme evolution
Regulatory Compliance
- Automated SAR Filing: Intelligent suspicious activity report generation
- Audit Trail: Complete documentation of all decisions and actions
- Regulatory Reporting: Automated compliance reports for all jurisdictions
- Know Your Customer: Enhanced KYC with continuous monitoring
Getting Started
Ready to transform your financial crime prevention capabilities?