Model-to-Operations Playbook — Deploying Decision Models Safely
A short deployment playbook describing how to operationalize analytics models, including monitoring, versioning, rollback and human-in-the-loop safeguards.
Covers: deployment checklist, monitoring metrics (latency, precision/recall drift), alerting thresholds, rollback procedures, retraining triggers, and an operator acceptance test plan to ensure models aid rather than confuse decisions.
Discussion
Comments and conversation will live here.