VELARU MANDATE EXHIBIT PACK — NURSE SCHEDULING AI Jurisdiction: New York (us_ny) Modality: Text / Chat Program: Velaru Nurse Scheduling AI · New York (galactic_nursing_scheduling_us_ny) Product ID: nursing_scheduling:us_ny:bundle:text Vertical: nursing_scheduling Generated: 2026-08-23T21:02:23.476768Z Authority: New York AI Governance Pack — Nurse Scheduling AI External Validation Pack Deadline: NYDFS AI guidance + Local Law 144 enforcement 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": "New York AI Governance Pack \u2014 Nurse Scheduling AI External Validation Pack", "regulatory_frameworks": [ "HIPAA", "FDA SaMD guidance", "EU AI Act Annex III", "NYDFS Circular Letter on AI", "NYC Local Law 144", "Martin Act" ], "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 Local Law 144 requires annual bias audit \u2014 Velaru receipts are continuous audit, not annual snapshot.", "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", "NYDFS", "NYC DCWP", "Goldman Sachs", "MetLife" ] } MIRROR TRAP (regulatory insight) Niche Nurse Scheduling AI deployer owns AI harm — vertical SaaS vendor owns liability cap. · Local Law 144 requires annual bias audit — Velaru receipts are continuous audit, not annual snapshot. 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": "[New York] Financial capital", "body": "NYDFS regulates insurers AND banks \u2014 same receipt primitive for both books.", "source": "jurisdiction" }, { "title": "[New York] Hiring audit law", "body": "NYC AEDT law is template for other cities \u2014 receipt architecture scales municipally.", "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.