Model Governance & MLOps Checklist for OT Pilots
An actionable, audit-ready interactive checklist to run safe OT model pilots. Each item captures completion, owner, target date, evidence, and notes so teams can deploy incrementally, monitor drift, and retain governance artifacts.
This checklist helps run short, shop‑floor focused experiments that prove safe, auditable model lifecycle practices for OT. For each checklist item, mark completion, assign an owner, set a target date (YYYY‑MM‑DD), attach an evidence link or artifact ID, and add concise notes describing acceptance criteria or artifacts. Save responses to create an audit trail for governance and scaling decisions.
","SubmitLabel":"Save checklist","SuccessMessage":"Checklist saved. You can return to update entries or attach additional evidence.","DataType":"mlops-ot-checklist","SchemaVersion":"1.0","Fields":[{"Key":"input_validation_complete","FieldType":"yesno","Label":"Input validation and schema checks completed","HelpText":"Validate sensor ranges, units, timestamp alignment, missing-value handling, and data type/schema conformity against the model contract."},{"Key":"input_validation_owner","FieldType":"text","Label":"Owner (input validation)","HelpText":"Person responsible for data validation and acceptance."},{"Key":"input_validation_due","FieldType":"text","Label":"Target completion date (YYYY-MM-DD)","HelpText":"Planned date to complete validation."},{"Key":"input_validation_evidence","FieldType":"text","Label":"Evidence link or artifact ID","HelpText":"Link to validation script, dataset snapshot, dataset hash, or ticket."},{"Key":"input_validation_notes","FieldType":"textarea","Label":"Notes","HelpText":"Acceptance criteria (e.g., allowable missing %; unit tests passed)."},{"Key":"performance_baseline_complete","FieldType":"yesno","Label":"Performance baselines and acceptance criteria established","HelpText":"Define baseline metrics (precision/recall, RMSE, classification accuracy, latency) measured on representative OT data and acceptable ranges in production."},{"Key":"performance_baseline_metric_value","FieldType":"number","Label":"Baseline metric value","HelpText":"Numeric baseline (use context in notes for metric name/units)."},{"Key":"performance_baseline_unit","FieldType":"text","Label":"Metric name and units","HelpText":"E.g., F1 score, RMSE (units), median latency (ms)."},{"Key":"performance_baseline_method","FieldType":"textarea","Label":"How baseline was measured","HelpText":"Dataset used, sampling method, and test harness or script IDs."},{"Key":"performance_baseline_owner","FieldType":"text","Label":"Owner (baseline)","HelpText":"Person accountable for baseline and ongoing measurement."},{"Key":"explainability_complete","FieldType":"yesno","Label":"Explainability and operator guidance documented","HelpText":"Provide short, human-friendly guidance on model outputs, limits, and expected actions for operators and supervisors."},{"Key":"explainability_artifact","FieldType":"text","Label":"Evidence link to explainability artifacts","HelpText":"Model cards, decision flowcharts, SHAP/feature importance reports, or runbooks."},{"Key":"explainability_owner","FieldType":"text","Label":"Owner (explainability)","HelpText":"Person responsible for operator guidance and documentation."},{"Key":"explainability_notes","FieldType":"textarea","Label":"Notes","HelpText":"Describe what to show operators (quick checks, confidence thresholds, known failure modes)."},{"Key":"alert_thresholds_complete","FieldType":"yesno","Label":"Alert thresholds and escalation paths defined","HelpText":"Define numeric thresholds, severity levels, who to notify, and response playbooks for alerts and anomalies."},{"Key":"alert_thresholds_spec","FieldType":"textarea","Label":"Alert thresholds and escalation specification","HelpText":"List threshold values, channels (pager, email, dashboard), and escalation sequence."},{"Key":"alert_thresholds_owner","FieldType":"text","Label":"Owner (alerts)","HelpText":"Person or role owning alert definitions and testing."},{"Key":"retraining_triggers_complete","FieldType":"yesno","Label":"Retraining triggers and data retention set","HelpText":"Define drift detection signals, retraining frequency or event triggers, and how training datasets are curated and retained for traceability."},{"Key":"retraining_triggers_spec","FieldType":"textarea","Label":"Retraining triggers and data retention policy","HelpText":"E.g., concept drift detected when metric falls X% vs baseline; retain N months of raw data; anonymization notes."},{"Key":"retraining_triggers_owner","FieldType":"text","Label":"Owner (retraining)","HelpText":"Person responsible for retraining decisions and pipelines."},{"Key":"deployment_rollback_complete","FieldType":"yesno","Label":"Deployment rollback and operator-override procedures in place","HelpText":"Confirm safe rollback plan, rollback automation limits, manual override steps, and expected RTO (recovery time objective)."},{"Key":"deployment_rollback_plan","FieldType":"textarea","Label":"Rollback plan summary","HelpText":"Steps, checkpoints, and verification after rollback. Include toggles, feature flags, or deployment tags to revert."},{"Key":"deployment_rollback_owner","FieldType":"text","Label":"Owner (rollback)","HelpText":"Person empowered to execute rollback and confirm safe state."},{"Key":"logging_observability_complete","FieldType":"yesno","Label":"Logging, observability and lineage implemented","HelpText":"Ensure inference logs, input snapshots (where permitted), model version, and dataset lineage are captured and retained for troubleshooting and audits."},{"Key":"logging_observability_artifact","FieldType":"text","Label":"Evidence link to logs or dashboard","HelpText":"Link to logging system, dashboard, or example logs demonstrating fields captured."},{"Key":"logging_observability_owner","FieldType":"text","Label":"Owner (observability)","HelpText":"Person responsible for telemetry and dashboards."},{"Key":"access_controls_complete","FieldType":"yesno","Label":"Access controls and network segmentation verified","HelpText":"Confirm least-privilege access to models, secrets management, credentials rotation, and OT/IT segmentation rules."},{"Key":"access_controls_evidence","FieldType":"text","Label":"Evidence link or ticket","HelpText":"Firewall rules, IAM policy, or audit report."},{"Key":"access_controls_owner","FieldType":"text","Label":"Owner (security)","HelpText":"Security or OT systems owner."},{"Key":"governance_signoff_complete","FieldType":"yesno","Label":"Governance owner sign-off and audit artifacts stored","HelpText":"Confirm stakeholders have reviewed risks, acceptance criteria, rollback plan, and monitoring; store sign-off artifact ID or link."},{"Key":"governance_signoff_link","FieldType":"text","Label":"Sign-off artifact link or ID","HelpText":"Meeting minutes, signed checklist PDF, or change control ticket."},{"Key":"governance_signoff_owner","FieldType":"text","Label":"Governance owner","HelpText":"Person or role providing final go/no-go for the pilot."},{"Key":"operational_training_complete","FieldType":"yesno","Label":"Operator training and runbooks completed","HelpText":"Operators can interpret outputs, follow runbook steps, and perform manual overrides and safety procedures."},{"Key":"operational_training_artifact","FieldType":"text","Label":"Training materials or runbook link","HelpText":"Attach or link short runbooks and training artifacts."},{"Key":"operational_training_owner","FieldType":"text","Label":"Owner (training)","HelpText":"Person accountable for operator readiness."},{"Key":"final_risk_review_complete","FieldType":"yesno","Label":"Final risk review and residual risk documented","HelpText":"Document remaining risks, mitigations, and acceptance by stakeholders."},{"Key":"final_risk_notes","FieldType":"textarea","Label":"Residual risk notes","HelpText":"List residual risks and mitigation status."},{"Key":"final_risk_owner","FieldType":"text","Label":"Owner (risk)","HelpText":"Risk owner for the pilot."},{"Key":"overall_signoff","FieldType":"yesno","Label":"Overall pilot readiness sign-off","HelpText":"Final confirmation that the pilot may proceed under defined controls."},{"Key":"overall_signoff_by","FieldType":"text","Label":"Signed-off by (name and role)","HelpText":"Person giving final sign-off."},{"Key":"overall_signoff_date","FieldType":"text","Label":"Sign-off date (YYYY-MM-DD)","HelpText":"Date of final sign-off."},{"Key":"general_notes","FieldType":"textarea","Label":"General notes","HelpText":"Anything else the team should record (e.g., links to model registry, dataset hashes, or experiment IDs)."}],"Validation":{}}Discussion
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