VELARU MANDATE EXHIBIT PACK — NURSE SCHEDULING AI
Jurisdiction: Mexico (mx)
Modality: Text / Chat
Program: Velaru Nurse Scheduling AI · Mexico (galactic_nursing_scheduling_mx)
Product ID: nursing_scheduling:mx:bundle:text
Vertical: nursing_scheduling
Generated: 2026-08-23T21:17:48.173492Z
Authority: Mexico LFPDPPP Pack — Nurse Scheduling AI External Validation Pack
Deadline: LFPDPPP + fintech AI guidance
Velaru verify: https://velaru-erra.onrender.com/verify

EXHIBIT A — AI INVENTORY
[]

EXHIBIT B — GOVERNANCE FRAMEWORK
{
  "framework": "Velaru Mandate Registry \u2014 Nurse Scheduling AI",
  "exhibit_authority": "Mexico LFPDPPP Pack \u2014 Nurse Scheduling AI External Validation Pack",
  "regulatory_frameworks": [
    "HIPAA",
    "FDA SaMD guidance",
    "EU AI Act Annex III",
    "LFPDPPP",
    "CNBV fintech AI",
    "USMCA digital trade"
  ],
  "standards_alignment": [
    "POSS-2",
    "DRP-1",
    "TCB",
    "FRE 707 pre-compliance",
    "ISO 42001"
  ],
  "human_oversight": "execute Nurse Scheduling AI AI decision",
  "third_party_verification": "https://velaru-erra.onrender.com/verify (operator-independent)",
  "data_lineage": "Hash-chained Ed25519 receipts; optional RFC3161 + external anchor",
  "mirror_trap": "Niche Nurse Scheduling AI deployer owns AI harm \u2014 vertical SaaS vendor owns liability cap. \u00b7 Nearshoring boom \u2014 US companies deploy AI in Mexico plants without Mexican compliance layer.",
  "chain_integrity": {
    "depth": 6,
    "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": "Nurse Scheduling AI \u2014 AI decision audit trail required for liability defense",
  "global_leaders_addressed": [
    "Sector regulators",
    "Vertical SaaS platforms",
    "CNBV",
    "INAI",
    "Banorte",
    "Femsa"
  ]
}

MIRROR TRAP (regulatory insight)
Niche Nurse Scheduling AI deployer owns AI harm — vertical SaaS vendor owns liability cap. · Nearshoring boom — US companies deploy AI in Mexico plants without Mexican compliance layer.

NERVE CARDS — WHY GLOBAL LEADERS CARE
[
  {
    "title": "Niche litigation",
    "body": "Nurse Scheduling AI plaintiffs challenge AI decision without independent verify.",
    "source": "vertical"
  },
  {
    "title": "Insurance bind",
    "body": "Sector insurers asking AI governance questions on Nurse Scheduling AI accounts.",
    "source": "vertical"
  },
  {
    "title": "[Mexico] Maquiladora AI",
    "body": "Manufacturing AI on border \u2014 dual OSHA and Mexican labor exposure.",
    "source": "jurisdiction"
  },
  {
    "title": "[Mexico] USMCA",
    "body": "Cross-border data + AI decisions \u2014 receipt tags jurisdiction for trade compliance.",
    "source": "jurisdiction"
  },
  {
    "title": "[Text / Chat] Modality hook",
    "body": "Baseline \u2014 all frameworks apply to text decisions.",
    "source": "modality"
  }
]

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

TAM / EXPOSURE: Global Nurse Scheduling AI market
INSURANCE LINES: E&O, Cyber, Sector liability

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