Implementation guide
Control Risk with Tiered Approval Workflows
Detailed training workflow for Control Risk with Tiered Approval Workflows in Playbooks: Core Systems.
playbookgovernanceapprovalrisktutorial
Guided walkthrough
The Goal: keep speed for low-risk tasks while enforcing review for high-risk outputs. Define Risk Tiers Create low, medium, and high risk tiers based on sensitivity and impact. Map Review Rules Low risk auto-publishes, medium risk peer review, high risk specialist approval. Use Review Checklists Require checks for factuality, policy compliance, and customer impact. Track Review SLA Set SLAs to avoid stalled queues and hidden bottlenecks.
Advanced implementation notes
Policy-Driven Approval Engine Risk Classification Tag each output by external exposure, legal impact, data class, and financial consequence. Dynamic Routing Route to reviewers by domain expertise and policy, not static queues. Evidence Bundle Attach prompt version, source links, model metadata, and test status to each decision. Exception Protocol Allow emergency bypass with mandatory after-action review and audit record. Control Metrics Measure false positives, false negatives, and cycle time by risk tier. Approval Decision Record Output ID:
{{output_id}} Risk Tier: {{risk_tier}} Reviewer: {{reviewer}} Checklist Score: {{score}} Decision: Approved / Rejected / Escalated Rationale: Timestamp: Fast Lane + Safe Lane Keep two explicit tracks: low-risk fast lane for productivity and high-risk safe lane for control.