Strong CDD vs Fast Customer Onboarding

Implement parallel, risk-tiered automated CDD workflows so low-risk customers clear instantly while specialists handle complex cases.

CyberTRIZ analysis · Banking contradiction AML001 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

FATF EU_GDPR EU_AI_ACT NIST_AI_RMF

Business Context

Customer Due Diligence is essential for verifying identity, understanding customer activity, and preventing financial crime, but customers expect onboarding to be fast and digital.

Banking TRIZ Resolution

CDD should be risk-based and data-driven. Automated identity verification, beneficial ownership checks, sanctions screening, and risk scoring can run in parallel while complex cases are routed to specialists.

Recommended Banking TRIZ Principles

Principle 1 - Segmentation

Principle 10 - Beforehand Action

Principle 28 - Replacement of Mechanical Systems

Principle 40 - Composite Materials

Expected Outcome

Faster onboarding

Stronger AML compliance

Reduced abandonment

Better use of specialist teams

TRIZ principles applied

P1 SegmentationP10 Beforehand ActionP28 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