Enterprise Automation vs Regulatory Accountability

Automate AML operational tasks but mandate human sign-off on SAR filings and policy exceptions, ensuring every automated recommendation remains fully auditable.

CyberTRIZ analysis · Banking contradiction AML039 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

FATF EU_AI_ACT BE_NBB_GOVERNANCE_MANUAL_2022 COBIT2019 IIA_STANDARDS

Business Context

AML automation reduces manual effort across onboarding, monitoring, screening, and investigations. Despite increasing automation, regulators continue to require clear accountability for every significant AML decision.

Banking TRIZ Resolution

Automate operational tasks while maintaining human accountability for approvals, SAR decisions, policy exceptions, and regulatory reporting. Every automated recommendation should remain fully traceable.

Recommended Banking TRIZ Principles

Principle 13 - Inversion

Principle 23 - Feedback

Principle 28 - Replacement of Mechanical Systems

Principle 40 - Composite Materials

Expected Outcome

Higher operational efficiency

Clear regulatory accountability

Better governance

Reduced operational risk

TRIZ principles applied

P13 InversionP23 FeedbackP28 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