VELARU MANDATE EXHIBIT PACK — RETAIL LOSS PREVENTION AI Jurisdiction: Mexico (mx) Modality: Text / Chat Program: Velaru Retail Loss Prevention AI · Mexico (galactic_retail_loss_prevention_mx) Product ID: retail_loss_prevention:mx:bundle:text Vertical: retail_loss_prevention Generated: 2026-08-24T15:02:16.329780Z Authority: Mexico LFPDPPP Pack — Retail Loss Prevention 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 Retail Loss Prevention AI", "exhibit_authority": "Mexico LFPDPPP Pack \u2014 Retail Loss Prevention AI External Validation Pack", "regulatory_frameworks": [ "BSA", "FinCEN SAR obligations", "FATF Recommendation 16", "LFPDPPP", "CNBV fintech AI", "USMCA digital trade" ], "standards_alignment": [ "POSS-2", "DRP-1", "TCB", "FRE 707 pre-compliance", "ISO 42001" ], "human_oversight": "execute Retail Loss Prevention 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 Retail Loss Prevention 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": "Retail Loss Prevention 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 Retail Loss Prevention 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": "Retail Loss Prevention AI plaintiffs challenge AI decision without independent verify.", "source": "vertical" }, { "title": "Insurance bind", "body": "Sector insurers asking AI governance questions on Retail Loss Prevention 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 Retail Loss Prevention AI market INSURANCE LINES: E&O, Cyber, Sector liability DISCLAIMER: External validation evidence pack — not legal advice, not filed rate approval.