Beneficial Ownership Transparency vs Corporate Complexity

Deploy AI-assisted graph analysis integrated with corporate registries to resolve complex ownership chains and meet UBO identification obligations reliably.

CyberTRIZ analysis · Banking contradiction AML011 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

FATF EU_SANCTIONS EU_AI_ACT EU_GDPR BCBS_239

Business Context

Corporate ownership structures may involve multiple subsidiaries, trusts, investment vehicles, and international entities, making Ultimate Beneficial Owner (UBO) identification increasingly difficult.

Banking TRIZ Resolution

Integrate corporate registries, ownership databases, AI-assisted graph analysis, and automated relationship mapping to simplify complex ownership investigations.

Recommended Banking TRIZ Principles

Principle 17 - Another Dimension

Principle 24 - Intermediary

Principle 28 - Replacement of Mechanical Systems

Principle 40 - Composite Materials

Expected Outcome

Better UBO identification

Faster investigations

Improved transparency

Stronger AML controls

TRIZ principles applied

P17 Another DimensionP24 IntermediaryP28 Replacement of Mechanical SystemsP40 Composite Materials

Controls that address this (13)

FATF-AML-001 - Implement Risk-Based AML/CFT Approachoperational · critical priority · Implement a risk-based approach to AML/CFT covering: national risk assessment awareness, institutional risk assessment, risk-based allocatio FATF-CDD-001 - Implement FATF-Standard Customer Due Diligenceoperational · critical priority · Apply CDD measures to all customers: identify and verify customer identity, identify beneficial owners, understand the purpose of the busine FATF-R1-001 - Institutional AML/CFT Risk Assessmentgovernance · critical priority · Conduct a comprehensive institutional AML/CFT risk assessment covering: products and services, customer types, delivery channels, and geogra