Use case: Intelligent Money Laundering Detection

Keep up with ‘innovative’ financial criminals to reduce risk of non-compliance and increase operational efficiency

The problem for banks

Money laundering is a significant global problem, with $36b in fines imposed for regulatory non-compliance since 20081, and banks are at risk because they can’t keep up with ‘innovative’ fraudsters: “We published the rule on Friday, the fraudsters knew it by Monday!” – risk officer at global bank.

Our solution

Inspirient’s automated analytics platform combines fraud-specific reasoning, general anomaly detection, and Machine Learning to detect known and previously unknown fraud patterns.

Why Inspirient?

Reduce money at risk from regulatory fines, which can be in the billions of dollars, and increase operational efficiency through alert prioritisation and intelligent automation.

Unlock the value in your data by getting in touch today!

Inspirient's Automated Analytics automates the entire data analytics process end-to-end: From the assignment of input data, pattern and outlier detection, automated visualization of patterns, weak points and opportunities to automatic generation of textual explanations and recognition of the underlying relationships and rules. Most other analytics solutions rarely include these textual explanations and observations regarding the underlying data relations, which are both critical to provide a deeper level of analysis and more actionable conclusions.

Copyright © 2020 by Inspirient GmbH. All rights reserved.