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Overview#
The Analysis Jobs System is an asynchronous job orchestration platform that executes AI-powered analytical workflows across your entire investigation portfolio. It provides real-time visibility into running operations, predictive cost management, and seamless AI integration for autonomous investigation support. Organizations processing large investigation volumes achieve significant reduction in manual analyst workload through automated entity extraction, relationship mapping, and threat modeling.
Key Features#
Parallel Processing at Scale#
Execute hundreds of simultaneous analytical jobs across distributed worker infrastructure. Process entire investigation backlogs with zero manual intervention through scheduled batch operations.
Cost-Aware AI Orchestration#
Real-time token tracking and predictive cost estimation prevent budget overruns. The system automatically routes jobs to optimal AI model tiers based on complexity, budget constraints, and SLA requirements.
Transparent Progress Monitoring#
Web-based dashboards display live job execution status, estimated completion times, and incremental findings as they emerge. Percentage-based progress indicators with stage-specific status updates eliminate uncertainty during long-running analyses.
Investigation Lifecycle Integration#
Jobs automatically link to investigations, alert clusters, and entity networks. Results populate knowledge graphs, trigger workflow actions, and generate audit-ready documentation without manual data entry.
Enterprise Reliability#
Automatic retry with exponential backoff, dead letter queue handling, and graceful degradation ensure high job completion rates. Failed jobs generate detailed diagnostics for rapid troubleshooting.
Use Cases#
- Automated Nightly Entity Extraction: Scheduled jobs enumerate investigations with new documents, run entity extraction across the portfolio, and update knowledge graphs overnight. Eliminates multi-week backlogs and shifts analysts to strategic case development.
- Real-Time Threat Assessment: Transaction monitoring alerts trigger threat modeling jobs that execute within seconds, generating threat scores with evidence citations. Low-scoring alerts auto-close with audit trails while high-scoring items escalate immediately.
- Pattern Recognition for Organized Crime: Weekly pattern recognition jobs analyze combined multi-agency datasets for behavioral signatures, operational methodologies, and organizational structures across large incident sets.
Integration#
Available through a complete API with Python SDK integration. Pre-built templates for common workflows (entity extraction, link analysis, anomaly detection, predictive modeling) accelerate time-to-value. Production-ready deployment with existing investigation platforms in days.
Last Reviewed: 2026-02-05