{
  "version": "d19.113",
  "created_at_utc": "2026-05-14T23:18:49Z",
  "doctrine": "Fictional, clearly labelled demo outputs make PLENA easier to pitch and test without claiming live institutional verification.",
  "sample_receipts": [
    {
      "receipt_id": "PLENA-DEMO-AI-20260514-001",
      "receipt_type": "ai_oversight",
      "sector": "Enterprise AI",
      "subject": "Fictional AI-assisted customer decision review",
      "status": "sample_only",
      "human_review": "Named human reviewer confirmed the AI summary was used as drafting support only.",
      "verification_url": "sample-proofops-receipts.html#ai-oversight-demo"
    },
    {
      "receipt_id": "PLENA-DEMO-FIN-20260514-002",
      "receipt_type": "evidence_packet",
      "sector": "Banking and insurance",
      "subject": "Fictional complaint handling evidence packet",
      "status": "sample_only",
      "human_review": "Fictional compliance reviewer recorded the evidence gaps before escalation.",
      "verification_url": "sample-proofops-receipts.html#finance-demo"
    },
    {
      "receipt_id": "PLENA-DEMO-GOV-20260514-003",
      "receipt_type": "public_service_journey",
      "sector": "Public integrity",
      "subject": "Fictional public service refusal/correction receipt",
      "status": "sample_only",
      "human_review": "Fictional records officer recorded the refusal basis and correction path.",
      "verification_url": "sample-proofops-receipts.html#public-demo"
    },
    {
      "receipt_id": "PLENA-DEMO-UNI-20260514-004",
      "receipt_type": "knowledge_integrity",
      "sector": "University",
      "subject": "Fictional credential and AI-use integrity packet",
      "status": "sample_only",
      "human_review": "Fictional academic reviewer logged authorship and AI-use disclosures.",
      "verification_url": "sample-proofops-receipts.html#university-demo"
    }
  ],
  "buyer_memo": {
    "buyer": "Fictional Enterprise AI Governance Team",
    "problem": "The organization needs a defensible way to record who authorized AI-assisted actions, which human reviewed them, what evidence existed, and what was refused or escalated.",
    "pilot": "30-day ProofOps pilot for one recurring trust event.",
    "outputs": [
      "AI action receipt",
      "Human review log",
      "Evidence packet",
      "Verification preview",
      "Pilot closeout memo"
    ],
    "boundary": "Fictional sample only. Not legal, audit, regulatory, insurance, banking, or compliance advice."
  },
  "pilot_packet": {
    "duration": "30 days",
    "scope": "One recurring trust event, one team, one evidence packet template, one receipt type, one review workflow.",
    "success_criteria": [
      "At least 20 fictional or internal test records created",
      "Human reviewer field completed for each sample",
      "Evidence packet generated without console errors",
      "Verification preview works on desktop and mobile",
      "Buyer can explain the workflow in one paragraph"
    ],
    "non_goals": [
      "No official verification claim",
      "No production personal data",
      "No regulated decision automation",
      "No claim of legal or compliance clearance"
    ]
  }
}