AI agents

Review queues, routing, and escalation

• A Reviewer Queue for Regression Fixtures That Keep Failing
• Approval Fatigue: Measuring Reviewer Load and Tuning the Gate
• Designing Reason Codes for Agent Refusals: A Taxonomy That Scales
• Routing Agent Work: Auto-Approve, Queue or Block
• Routing Reason Codes to Queues: A Table and Fallbacks
• Sign-Off Ownership for Held Chunks: Who Approves Which Source
• Teaching an Agent to Pick Its Own Reason Code
• A Hold Reason Taxonomy That Routes to the Right Fix
• A Queue Owner Directory: Who Is Paged for Which Code
• A Queue Owner for Every Code: Fallbacks and After-Hours Rules
• A Reviewer Runbook for Agent Failures
• A Routing Table From Reason Code to Queue Owner
• Alerting on Agent Failures Without Alert Fatigue
• Backlog Aging by Code: A Weekly Review the Owner Can Run
• Balancing Review Load Across Queues With Reason Code Counts
• Budgeting Reviewer Minutes per Precedence Rule: A Planning Model
• Escalation Queues by Error Class: Who Sees Which Failure
• Escalation Routing by Reason Code: A Queue and Owner Matrix
• Hold Reason Taxonomy: Routing a Chunk to the Right Reviewer
• Keeping a Reason Code List and Its Prompt in Sync
• Mapping Reason Codes to Queues: Routing Tables and Fallbacks
• Reason Codes for a Second Source Check: A Taxonomy That Routes
• Reviewer Workload Metrics: Load, Backlog and Fatigue Signals
• Routing a Rewritten Fact List to a Human Before Coverage
• Routing by Error Class: A Queue Owner Table for Support and Ops
• Sizing a Human Queue From Escalation Rate and Review Time
• Sizing a Review Queue From Escalation Volume and Latency
• Spreading Review Duty Without Losing Context
• The Cost of a Human Review: Budgeting for Approval Queues
• Time-to-Decision as a Metric: Instrumenting the Queue
• Turning Approval Minutes Into a Monthly Cost per Tool
• What a Review Queue Costs per Month
• When an Agent Picks Two Reason Codes