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Overview#
The Review Queue System provides a centralized workflow for managing items that require human review, approval, or action. Supporting multiple queue types including evidence review, AI suggestion approval, data quality validation, compliance checks, and administrative approvals, the system ensures that every item receives timely attention through intelligent assignment, priority management, SLA tracking, and comprehensive analytics.
Key Features#
- Multiple Queue Types -- Supports distinct queues for different workflow needs such as evidence review, AI suggestion approval, compliance verification, and administrative sign-offs, each with tailored configurations
- Priority-Based Sorting -- Automatically orders items by urgency, criticality, and business rules so reviewers always work on the most important items first
- Intelligent Assignment -- Distributes work through round-robin, skill-based routing, and workload balancing algorithms with escalation rules and manual override capabilities
- SLA Tracking and Alerts -- Monitors processing time against service level targets with proactive alerts for items approaching or exceeding deadlines
- Configurable Review Stages -- Supports multi-step review workflows with approval and rejection actions, comments, annotations, and evidence attachment at each stage
- Batch Operations -- Enables reviewers to process multiple related items simultaneously for efficient handling of high-volume queues
- Reviewer Performance Analytics -- Tracks queue depth, processing times, reviewer throughput, SLA compliance rates, and trend visualization to identify bottlenecks and optimize workflows
- Complete Audit Trail -- Records every review action, decision, and comment for accountability, compliance reporting, and process improvement
Use Cases#
- Processing incoming evidence for investigations with automatic queue assignment, metadata verification, classification review, quality assessment, and investigation linking
- Reviewing AI-generated suggestions before they are applied, including smart field recommendations, entity extraction results, classification proposals, duplicate detection matches, and data enrichment proposals
- Ensuring regulatory compliance through structured review of disclosure packets, redaction verification, chain of custody validation, export approvals, and retention decisions
- Managing administrative approvals such as access requests, configuration changes, and policy exceptions with appropriate routing and oversight
Integration#
The platform connects with role-based access control, single sign-on, configurable data import and export workflows, real-time event notifications, and standards-based data exchange protocols to serve as the central approval hub across the Argus platform.
Last Reviewed: 2026-02-04