Review Queue Domain

Overview#

The Review Queue domain provides a human-in-the-loop workflow system for managing items that require human decision-making. It supports entity resolution reviews, case approvals, and other decision workflows with intelligent assignment, priority management, escalation paths, and performance analytics to maintain quality and throughput.

Key Features#

• Priority-Based Queue Management - Items are organized by priority levels (Critical, High, Medium, Low) with configurable time-to-live settings that ensure urgent items receive prompt attention and stale items are automatically expired.

• Intelligent Assignment - Distribute review items to available reviewers with workload balancing and specialization matching, ensuring fair distribution and routing complex items to qualified reviewers.

• Decision Workflow - Reviewers can approve, reject, escalate, or defer items with required justification, confidence scoring, and evidence linking for a complete audit trail of every decision.

• Confidence Band System - Items are automatically classified into confidence bands based on AI analysis, allowing high-confidence matches to be auto-processed while routing uncertain cases to human reviewers.

• Escalation Management - Items can be escalated individually or in bulk to supervisors when they require higher-level review, with full tracking of escalation reasons and routing.

• Reviewer Analytics - Track reviewer performance including decision speed, accuracy rates, overturn rates, and specializations to support quality calibration and workload optimization.

• Bulk Operations - Perform batch actions including bulk escalation, priority updates, and expiration of old items for efficient queue management at scale.

Use Cases#

• Entity Resolution - Review AI-suggested entity matches that fall below the auto-merge confidence threshold, confirming or rejecting proposed links between records.

• Case Approval - Route investigation findings through a structured approval process with required justification and evidence before final disposition.

• Quality Assurance - Monitor reviewer calibration metrics to identify drift in decision patterns and maintain consistent standards across the review team.

• Compliance Review - Ensure sensitive actions pass through required human review gates with full documentation and audit trails.

Integration#

The Review Queue domain connects with other platform capabilities to support end-to-end workflows:

• Investigation Management - Review items linked to active cases for contextual decision-making
• Entity Resolution - AI-generated match candidates feed directly into the review queue
• AI Analysis - Confidence scores from AI models drive automatic band classification
• Observability - Queue depth and throughput metrics for operational monitoring

Last Reviewed: 2026-02-05