VELARU MANDATE EXHIBIT PACK — HEALTHCARE AI / MEDICAL MALPRACTICE
Jurisdiction: United States (Federal) (us_federal)
Modality: Text / Chat
Program: Velaru Healthcare AI / Medical Malpractice · United States (Federal) (galactic_healthcare_us_federal)
Product ID: healthcare:us_federal:bundle:text
Vertical: healthcare
Generated: 2026-08-18T23:51:08.811547Z
Authority: US Federal Exhibit — Clinical AI SaMD + Med Mal Evidence Pack
Deadline: NAIC AI Evaluation Tool adoption vote
Velaru verify: https://velaru.xyz/verify

EXHIBIT A — AI INVENTORY
[
  {
    "named_entity": "Velari",
    "slug": "velari",
    "ai_use_case": "AI-assisted Healthcare AI / Medical Malpractice decisions",
    "vertical": "healthcare",
    "risk_tier": "elevated",
    "external_validation": "Velaru independent receipt verification",
    "handler_receipt_lock": "https://velaru.onrender.com/r/4c58eac890bfd031ce2189de5a1ca9ea292a0c837f5f535daf164aef34f31e53",
    "compliance_state": "grace_period",
    "asymmetry_grade": "A",
    "found_scripture_export": "https://velaru.xyz/bundle/pre-dispute/d8fb129c0c0c78d05256/export.txt",
    "diligence_url": "https://velaru.xyz/diligence/velari"
  },
  {
    "named_entity": "LinkAudit Test",
    "slug": "linkaudit-test",
    "ai_use_case": "AI-assisted Healthcare AI / Medical Malpractice decisions",
    "vertical": "healthcare",
    "risk_tier": "elevated",
    "external_validation": "Velaru independent receipt verification",
    "handler_receipt_lock": "https://velaru.onrender.com/r/58ddedd1974156453bc55daef6a9857d8570d56388becbb2a80bf5bac76b771b",
    "compliance_state": "grace_period",
    "asymmetry_grade": "A",
    "found_scripture_export": "https://velaru.xyz/bundle/pre-dispute/78aa6e3f3a84cf1a88c0/export.txt",
    "diligence_url": "https://velaru.xyz/diligence/linkaudit-test"
  },
  {
    "named_entity": "Link Audit Co",
    "slug": "link-audit-co",
    "ai_use_case": "AI-assisted Healthcare AI / Medical Malpractice decisions",
    "vertical": "healthcare",
    "risk_tier": "elevated",
    "external_validation": "Velaru independent receipt verification",
    "handler_receipt_lock": "https://velaru.onrender.com/r/d00533b7b6c0495802b4250abd5c29f60bd9f2ad3fb141bba2d9a5afee5f5542",
    "compliance_state": "grace_period",
    "asymmetry_grade": "A",
    "found_scripture_export": "https://velaru.xyz/bundle/pre-dispute/fea572f3996c4b963779/export.txt",
    "diligence_url": "https://velaru.xyz/diligence/link-audit-co"
  }
]

EXHIBIT B — GOVERNANCE FRAMEWORK
{
  "framework": "Velaru Mandate Registry \u2014 Healthcare AI / Medical Malpractice",
  "exhibit_authority": "US Federal Exhibit \u2014 Clinical AI SaMD + Med Mal Evidence Pack",
  "regulatory_frameworks": [
    "HIPAA",
    "FDA SaMD guidance",
    "EU AI Act Annex III",
    "FTC Act \u00a75",
    "EEOC Title VII",
    "NAIC Model Bulletin",
    "EO 14179 AI policy"
  ],
  "standards_alignment": [
    "POSS-2",
    "DRP-1",
    "TCB",
    "FRE 707 pre-compliance",
    "ISO 42001"
  ],
  "human_oversight": "credential AI clinical tool",
  "third_party_verification": "https://velaru.xyz/verify (operator-independent)",
  "data_lineage": "Hash-chained Ed25519 receipts; optional RFC3161 + external anchor",
  "mirror_trap": "Insurers underwriting health AI exclusions while using AI in claims \u2014 same governance gap NAIC flags for carriers. \u00b7 Federal agencies disagree on AI approach \u2014 but examiners agree internal logs are insufficient.",
  "chain_integrity": {
    "depth": 492,
    "invariant_holds": true
  }
}

EXHIBIT D — DATA INPUTS & VALIDATION
{
  "data_validation_method": "Cryptographic receipt per AI decision; public verify without trusting deployer, vendor, or Velaru operator",
  "bias_testing_proxy": "Asymmetry score from live chain signals",
  "model_change_control": "Policy lock registry \u2014 criteria hash frozen pre-dispute",
  "logging_retention": "90-day pre-dispute window minimum; permanent verify permalinks",
  "external_validator": "Nisaba LLC / Velaru",
  "validator_independence": "Client-side Ed25519 verify; BYOK tri-receipt optional",
  "headline_stat": "Deployer owns AI failure \u2014 vendor caps liability; hospital pays claim then subrogates nothing",
  "global_leaders_addressed": [
    "FDA",
    "Joint Commission",
    "Gallagher Re",
    "Epic",
    "UnitedHealth",
    "NAIC",
    "FTC",
    "EEOC"
  ]
}

MIRROR TRAP (regulatory insight)
Insurers underwriting health AI exclusions while using AI in claims — same governance gap NAIC flags for carriers. · Federal agencies disagree on AI approach — but examiners agree internal logs are insufficient.

NERVE CARDS — WHY GLOBAL LEADERS CARE
[
  {
    "title": "Coverage denial litigation",
    "body": "Algorithms denying care are in discovery now \u2014 reconstructability beats internal EHR logs.",
    "source": "vertical"
  },
  {
    "title": "PCCP gap",
    "body": "FDA change control plans don't cover vendor foundation model updates \u2014 undocumented drift = liability.",
    "source": "vertical"
  },
  {
    "title": "Board accountability",
    "body": "Public health systems: AI governance is SEC-disclosable material risk in 2026.",
    "source": "vertical"
  },
  {
    "title": "[United States (Federal)] Agency pincer",
    "body": "FTC, CFPB, EEOC, and DOJ all active on AI \u2014 one receipt chain satisfies cross-agency discovery.",
    "source": "jurisdiction"
  },
  {
    "title": "[United States (Federal)] Federal preemption fight",
    "body": "State laws filling void \u2014 multistate operators need jurisdiction-tagged receipts.",
    "source": "jurisdiction"
  },
  {
    "title": "[Text / Chat] Modality hook",
    "body": "Baseline \u2014 all frameworks apply to text decisions.",
    "source": "modality"
  }
]

BOOK SUMMARY: {
  "total_insureds": 3,
  "compliant": 0,
  "grace_period": 3,
  "non_compliant": 0,
  "expired": 0,
  "not_enrolled": 0,
  "compliant_pct": 0.0
}

TAM / EXPOSURE: $4B+ US med mal · coverage-denial AI in active litigation
INSURANCE LINES: Med mal, Hospital liability, Health cyber

DISCLAIMER: External validation evidence pack — not legal advice, not filed rate approval.