{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "name": "DecisionOS Evidence-to-Replay Lineage & Decision Moment Observer",
  "version": "1.0.0",
  "generatedAt": "2026-09-26T01:31:00Z",
  "governanceRule": "DecisionOS is a longitudinal evidence system, not an autonomous agent. INTERVENTION HYPOTHESIS != INTERVENTION AUTHORITY. Structural Decision Memory records governed metadata states, not private conversational content.",
  "longitudinal_decision_loop": [
    {
      "step": 1,
      "phase": "OBSERVE",
      "description": "Passive ingestion of non-content structural event metadata across enterprise workflow boundaries."
    },
    {
      "step": 2,
      "phase": "MEASURE",
      "description": "Computation of graph-topological observables (cycle latency, waiting hours, loop counts, boundary drag)."
    },
    {
      "step": 3,
      "phase": "MODEL_SIMULATE",
      "description": "Counterfactual scenario simulation (OSE sandbox) and parametric exposure translation (Governed FTL)."
    },
    {
      "step": 4,
      "phase": "AUTHORIZED_HUMAN_DECIDES",
      "description": "Human executive reviews evidence and exercises decision authority. The system NEVER autonomously executes business policy."
    },
    {
      "step": 5,
      "phase": "REALITY_UNFOLDS",
      "description": "Operational changes take effect in enterprise processes over subsequent operational cycles."
    },
    {
      "step": 6,
      "phase": "REPLAY",
      "description": "Cryptographically sealed historical reconstruction of actual organizational state transitions."
    },
    {
      "step": 7,
      "phase": "COMPARE",
      "description": "Longitudinal delta analysis comparing simulated expectations against observed operational trajectories."
    },
    {
      "step": 8,
      "phase": "STRUCTURAL_DECISION_MEMORY",
      "description": "Institutional knowledge crystallization preserving decision provenance, rationale, and observed outcomes for future governance."
    }
  ],
  "decision_moment_observer": {
    "philosophy": "You do not need to read the conversation to measure the decision system around it.",
    "ingestion_architecture": [
      "AUTHORIZED_EVENT",
      "NORMALIZATION",
      "DECISION_GRAPH",
      "STRUCTURAL_OBSERVABLES",
      "EVIDENCE_STATE",
      "GOVERNED_CONTEXT"
    ],
    "observed_structural_events": [
      { "event": "Approval", "description": "Formal state transition authorization between role boundaries." },
      { "event": "Handoff", "description": "Transfer of operational responsibility across distinct actors or organizational units." },
      { "event": "Revision", "description": "Rework loop where an artifact returns to a prior state for modification." },
      { "event": "Escalation", "description": "Exception routing to higher authority levels due to threshold breaches." },
      { "event": "Wait", "description": "Elapsed time between handoff availability and subsequent actor engagement." },
      { "event": "Resolution", "description": "Terminal completion or settlement of a decision workflow sequence." },
      { "event": "State Transition", "description": "Discrete lifecycle mutation of a tracked enterprise business object." },
      { "event": "Boundary Crossing", "description": "Process traversal across corporate, legal, or partner jurisdictional interfaces." }
    ],
    "integration_principle": "Zero manual input / low cognitive overhead does not mean zero enterprise integration. DecisionOS connects passively to existing audit logs and APIs without requiring employees to fill surveys or change working tools."
  }
}