Overview
Our Alert Management module provides intelligent handling of AML alerts from detection through resolution, optimizing analyst productivity.
Machine learning-powered prioritization surfaces the highest-risk alerts first, while automated workflows route alerts to the right teams based on type, risk level, and expertise.
Comprehensive dashboards provide real-time visibility into alert queues, analyst workload, and processing metrics to ensure SLA compliance.
Key Features
Comprehensive alert management capabilities
Intelligent Prioritization
ML-powered scoring surfaces high-risk alerts and reduces time spent on low-risk items
Alert Queues
Configurable queues organize alerts by type, risk level, and assignment status
SLA Monitoring
Real-time tracking of processing times with escalation for approaching deadlines
Bulk Actions
Process multiple related alerts together with bulk disposition and documentation
Investigation Tools
Built-in tools for customer research, transaction analysis, and evidence gathering
Disposition Workflow
Structured workflows ensure consistent documentation and appropriate escalation
Key Benefits
Improved Efficiency
Faster Processing
Better Coverage
Consistent Quality
Workload Balance
Audit Ready
Integration Points
- Transaction monitoring
- Screening systems
- Fraud detection
- External data sources
- Case management
- Regulatory reporting
- Analytics platform
- Alert ingestion API
- Disposition API
- Queue management API
- Priority recalculation
- SLA monitoring
- Workload balancing
Performance Metrics
Faster Processing
Reduction in average handling time
SLA Compliance
Alerts processed within deadline
Productivity Gain
Increase in analyst throughput
System Uptime
Platform availability guarantee
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Use Cases
Transaction Alerts
Manage and investigate alerts from transaction monitoring systems
Screening Matches
Review and disposition matches from sanctions and PEP screening
Fraud Investigations
Coordinate investigation of fraud alerts with AML compliance
Frequently Asked Questions
How does alert prioritization work?add
Our ML models analyze multiple factors including risk score, customer profile, alert type, and historical patterns to calculate priority scores.
Can we customize alert workflows?add
Yes, workflows are fully configurable including routing rules, required fields, approval chains, and escalation triggers.
How are alerts assigned to analysts?add
Alerts can be auto-assigned based on rules (expertise, workload) or manually assigned. Managers can reassign as needed.
What happens when SLAs are at risk?add
The system sends automated escalations to supervisors and can reprioritize alerts approaching their deadlines.
Can alerts be grouped together?add
Yes, related alerts can be linked or consolidated for joint investigation, with bulk disposition capabilities.
How is performance measured?add
Dashboards track metrics including throughput, handling time, SLA compliance, and quality scores at individual and team levels.
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