Transaction Monitoring
The Architecture
Our system processes transactions in real-time, analyzing complex patterns across accounts, channels, and time periods. It learns what's normal and flags what's genuinely suspicious — delivering the accuracy major banks expect at a price that works for growing institutions.
Real-Time Data Processing
Every transaction analyzed as it happens across all channels
Multi-Layer Pattern Analysis
Detects structuring, layering, velocity changes, and network behaviours
Dynamic Risk Scoring
Sophisticated scoring based on your configured parameters
Intelligent Alert Generation
Prioritized alerts with full context and investigation trails
Actionable Intelligence
Clear guidance on next steps with supporting evidence
Power and Flexibility Combined
Finally, transaction monitoring that understands your market's reality.
Reduce False Positives by 80%
Configure rules that understand your market. Set thresholds that match your reality. Define patterns based on your customer base. The system learns and adapts while maintaining the vigilance you need.
Process Millions, Alert on Dozens
Handle transaction volumes that would overwhelm manual review. Our infrastructure scales from thousands to millions of daily transactions while maintaining millisecond response times.
Sophisticated Pattern Detection
Identify complex schemes including trade-based money laundering, terrorist financing patterns, and emerging typologies. The system sees connections across accounts, time, and channels that humans would miss.
Complete Control Over Rules
You define what's suspicious for your institution. Set velocity limits, amount thresholds, customer risk parameters, geographic restrictions, and behavioural triggers. Update rules instantly as regulations or risks change.
Unified Monitoring Across All Channels
Monitor wire transfers, mobile money, agent networks, cards, and digital payments through one intelligent system. See the full picture of customer activity regardless of channel.
Regulatory Confidence Built In
Generate reports that exceed regulatory expectations. Maintain complete audit trails. Document every decision. Export evidence packages for investigations. Stay ahead of examiner requirements.
Technical Excellence
Built for institutions that need power without complexity.
- Performance: Process 100,000+ transactions per second
- Integration: REST APIs, real-time webhooks, batch processing
- Security: Bank-grade encryption, full audit trails, role-based access
- Reliability: 99.99% uptime SLA with failover protection
POST /api/v1/transactions/monitor
{
"transaction_id": "TXN-2025-789123",
"amount": 25000.00,
"currency": "KES",
"customer_id": "CUST-456789",
"channel": "mobile_money",
"timestamp": "2025-09-25T14:30:00Z"
}
// Response
{
"risk_score": 85,
"alert_triggered": true,
"alert_type": "velocity_threshold",
"status": "requires_investigation"
}Stop Investigating Noise. Start Finding Risk.
See how institutions like yours are catching real suspicious activity without burning out their compliance teams.
Book a DemoTransaction Monitoring & AML — FAQ
Financial institutions must balance effective suspicious activity detection with minimising false positives and maintaining customer experience. Too many alerts overwhelm compliance teams and lead to alert fatigue; too few risk missing genuine suspicious activity. Getting the threshold right — and keeping it calibrated as your business grows — is the core challenge.
Key monitoring areas include:
- Unusual transaction patterns and amounts
- Cross-border and international transfers
- High-risk customer transactions
- Structuring and smurfing detection
- Trade-based money laundering indicators
- Politically Exposed Person (PEP) transactions
Anqa provides customisable rules and scenarios for detecting suspicious transaction patterns. You can set thresholds, velocity limits, and behavioural triggers based on your specific risk profile and regulatory requirements — so alerts are relevant to your customer base, not a generic template built for another market.
AI-powered detection helps identify complex money laundering patterns that rule-based systems alone can miss. Machine learning models learn from your transaction history to surface anomalies in context — reducing false positives while improving the accuracy of genuine risk detection over time.
Anqa provides integrated case management for investigation and reporting workflows. When an alert fires, it creates a structured case with the relevant transaction data, customer history, and risk context already attached — streamlining the process from initial alert through investigation to final resolution and regulatory reporting.
Yes. Anqa supports automated suspicious activity reporting to regulatory authorities, ensuring timely and accurate submission of required reports. Templates are configurable to match local regulatory formats, reducing the manual effort required from your compliance team at the reporting stage.