Automated triage with human sign-off: Strict authority boundaries
Architectural controls for AI-assisted feedback triage: Read-only data access, auditable recommendations, and mandatory human authorization.
Yves Research · Platform team
Enterprise triage workflows combine automated signal classification with mandatory human authorization. Automated routines parse high-volume streams, tag potential anomalies, and structure evidence, but maintain strict read-only execution boundaries.
Automated triage proposes classifications and actions; designated human operators authorize or reject every recommendation. This separation ensures operational speed without sacrificing institutional accountability.
Structure of an automated proposal
Every system-generated recommendation specifies its analytical objective, inspected data schemas, historical confidence scores, and source evidence. Human approval generates an immutable audit record linking the decision to a credentialed account before write operations execute.
- Analytical routines operate under strict read-only query allowlists
- Full input prompts, raw responses, and classification metadata are permanently archived
- Model calibration tracks proposal approval rates against model confidence to detect drift
- Automated rules can be paused or reconfigured immediately by compliance administrators
Verifiable lineage and auditability
Generic AI summaries lack forensic utility. Yves structures every triage proposal with the underlying rule or model version, confidence metrics, and queried tables, giving compliance and legal teams defensible documentation for every operational action.
