The Challenge
FinTech PQR processes $2.3B in annual transactions across multiple payment channels. Fraud detection was rule-based and reactive—complex fraud patterns went undetected, and false positives created poor customer experience. The company faced $12.5M in annual fraud losses and regulatory pressure to improve compliance monitoring.
The Solution
BetterAgents deployed multi-agent fraud detection and compliance system that processes every transaction in real-time:
- Real-time transaction risk scoring using ML models
- Multi-agent rule engine for compliance checks (AML, KYC, sanctions)
- Behavioral analysis for account anomalies
- Automatic case escalation and investigation workflows
- Regulatory reporting automation
- False positive reduction via feedback loops
Results & Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Fraud Detection Rate | 87% | 99.8% | ↑ 12.8 points |
| Annual Fraud Loss | $12.5M | $185K | ↓ 98.5% ($12.3M saved) |
| False Positive Rate | 8.2% | 0.3% | ↓ 96% |
| Compliance Audit Findings | 23/quarter | 1/quarter | ↓ 96% |
"BetterAgents caught fraud patterns that our old rule-based system completely missed. We went from catching 87% to 99.8%, and fraud losses dropped to nearly zero. Compliance audits are now a formality instead of a nightmare. The system learns and adapts—it's like having a team of expert analysts working 24/7."
Implementation Timeline
Model Development
January 2025
Integration & Testing
February 2025
Parallel Testing
March 2025
Go-Live
April 2025
Current Status
Active (5+ months)
Technologies & Stack
Orchestration
BetterAgents v1.0
ML Models
XGBoost, Neural Networks
Real-time Processing
Kafka, Flink
Data Storage
PostgreSQL, Cassandra
Payment APIs
Stripe, Plaid, FedWire
Monitoring
Prometheus, Grafana
Protect Your Transactions with AI
Real-time fraud detection and compliance made simple.
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