Transforming quality and consistency in financial crime investigation through decision graphs – WHITEPAPER


The ability to capture how expert compliance analysts think at a granular level is shaping a new generation of technologies that support how complex cognitive tasks are undertaken. Mapping the ‘Decision Graph’ of an AML investigation enables the transformation of subjective states of human judgement into objective data-driven metrics that are identifiable, measurable and manageable.

This whitepaper, in collaboration with Nasdaq, demonstrates how decision graph technology has been utilised in Level 1 AML Transaction Monitoring (TM) investigations to identify the granular drivers of quality and consistency. Its support for investigators and QA analysts reduced the amount of investigations that fail QA review by over 80%

Insights within the paper include:

  • Current QA process – how the QA process and outcome assessments in global banks currently operate
  • Performance variation – the impact that considerable differences in performance of individual banks has on the volume of different QA outcomes
  • Fail error reduction – breaking a high fail error cycle by identifying key decision drivers and targeting specific training interventions
  • Human and machine force multiplier – the difference automated machine investigation technology can have on accelerating quality improvement
  • Augmented performance improvement – how performance can be augmented and transformed across a whole team by using performance insights taken at an individual investigator level 
  • Inconsistent QA – the impact a significant lack of consistency has in the way that QA analysts assess investigation decisions
  • Minor faults vs. fail errors – what major drivers of QA minor faults were identified and the failings of current evidence trails
  • Real-time quality assurance – why the future of real-time, holistic investigation analysis is vital if support is to be provided at point of need for human investigators
Download the Whitepaper: Transforming financial crime investigation quality and consistency

Download the paper here