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CAII
Caribbean AI Institute
Member profile

Mr. Hugo van der Wal

Advisory Board

All team members

Biography

Global expert in privacy computing and financial sensitive data compliance. Adviser on data containment and financial data de-identification architecture.

Research areas

Institute research topics aligned with the broad areas identified in this biography; these are not confirmed personal project assignments.

Offshore Finance & Cross-border Capital AI

AI-KYC/KYB & UBO identification
Extract ultimate beneficial owners from registry files, trust deeds and nominee structures; screen OFAC/UN lists; output FIU-ready reports.
Fund SPC/VCIC & ILS document intelligence
Parse PPMs, subscription and custody agreements; flag clause risks; generate CIMA and BMA filings.
Cross-border AML monitoring
Risk models tuned to island remittance, fund and reinsurance flows, reducing correspondent-bank de-risking.
CRS / AEOI tax compliance
Classify tax residency and controlling persons, validate CRS returns, assist trusts and family offices.
Digital assets, stablecoin & CBDC sandbox
Sand Dollar and Cayman digital-asset frameworks; transaction tracing and policy simulation for regulators.
Catastrophe reinsurance pricing
Hurricane and sea-level data for ILS and sidecar loss simulation, policy parsing and claims automation.
Caribbean Offshore Legal AI
A jurisdiction-isolated legal model on Cayman, BVI trust and insurance law, with lawyer review loops.
Financial data sovereignty & local compute
Keep sensitive financial data on-island with privately deployed vertical models in sovereign data centers.

Governance, Compliance & Ethics

Offshore-finance AI regulatory framework
Benchmarked to BMA and CIMA guidance, compatible with FATF and the EU AI Act.
Data protection & cross-border data handbook
Compliance guides aligned with each jurisdiction's data protection laws.
Explainability, audit trail & accountability
Mechanisms that address regulators' distrust of black-box AI.
Inclusive AI credit scoring
Financial inclusion for unbanked and low-income island residents without traditional credit files.
All research projects