{
  "id": "workflow:ml-model-versioning-governance",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-deeper-domains.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "ML Model Versioning Governance",
    "workflowKind": "governance",
    "triggerType": "scheduled",
    "typicalCadence": "monthly",
    "complexity": "cross-team",
    "description": "Governs ML model versioning, lineage tracking, and promotion workflows\n-- auditing model-registry completeness for metadata including\ntraining-data snapshots, hyperparameters, and evaluation metrics,\nvalidating model-card documentation against organizational standards,\nreviewing model-promotion gates from experimental through staging to\nproduction, enforcing reproducibility requirements by verifying\ntraining-pipeline determinism, assessing model-drift monitoring alerts\nand retraining trigger thresholds, auditing access controls on model\nartifacts and serving endpoints, and reconciling deployed model versions\nagainst the approved model inventory. Produces model governance\ncompliance report and registry hygiene scorecard. Excludes model\narchitecture research.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "role:ml-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "role:staff-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "role:engineering-manager",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "skill-area:ml-fine-tuning",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "skill-area:eval-driven-development",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "domain:ml-ops",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "domain:data-science",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "responsibility:review-architecture-changes",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "org-unit:ml-platform-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "org-unit:ml-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:ml-model-versioning-governance",
      "to": "org-unit:data-platform-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}