High Detection Rates vs Investigation Backlogs

Deploy automated alert prioritisation using risk scoring so investigators address highest-risk cases within regulatory reporting deadlines.

CyberTRIZ analysis · Banking contradiction AML027 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

FATF EU_SANCTIONS BCBS_239 COBIT2019 FAIR_RISK

Business Context

Increasing AML detection scenarios identifies more suspicious activity but may create investigation queues that delay regulatory reporting and reduce operational effectiveness.

Banking TRIZ Resolution

Prioritize alerts through automated risk scoring, behavioural analytics, and workload balancing so investigators focus on the highest-risk cases first.

Recommended Banking TRIZ Principles

Principle 1 - Segmentation

Principle 15 - Dynamics

Principle 23 - Feedback

Principle 40 - Composite Materials

Expected Outcome

Reduced investigation backlog

Better case prioritization

Faster reporting

Higher operational efficiency

TRIZ principles applied

P1 SegmentationP15 DynamicsP23 FeedbackP40 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