Reshaping Compliance – New DOJ Fraud Section Expert Takes Over

A fantastic new article written by Hui Chen in Law360 perfectly encapsulates how Matt Galvin will reshape Compliance in his new role at the Department of Justice Fraud Section. Matt’s work at BrewRIGHT “changed the game” for Chief Ethics & Compliance Officers. And now he’s the “referee”.

During his time as a partner at EY over six years ago, Kona AI CEO Vincent Walden helped Matt Galvin build the BrewRIGHT platform for Anheuser-Busch InBev. Four years and several million dollars later, the massive undertaking resulted in a system that “allows compliance personnel, as well as the company’s senior management and key stakeholders, not only to have a real-time view of the company’s global transactions and operations, but also to simultaneously score risks and monitor the qualities of these transactions.” (Chen)

Now, with compliance technology advancements, companies can achieve the same results, in their cloud or on-premise datacenters, in less than one month… and for less that $250k. Incorporate the highest level of compliance data analytics technology, similar to the BrewRIGHT platform, blend it with two decades of investigative and Big 4 forensic technology expertise, add leading Machine Learning algorithms backed by MIT, and the result is Kona AI. We are delivering leading AI-driven compliance and anti-fraud algorithms with measurable results for our clients.

We could not be more excited to bring an out-of-the-box solution to compliance professionals that is on-premise, rapidly deployable, accurate, easy-to-use, cost-effective, and most importantly aligns with DOJ compliance monitoring and data analytics expectations.

Works Consulted 

Chen, Hui. ‘New DOJ Fraud Section Expert Will Reshape Compliance’; 7 Oct 2022 https://www.law360.com/publicpolicy/articles/1537908/new-doj-fraud-section-data-expert-will-reshape-compliance accessed October 2022

Tokar, Dylan. ‘AB InBev Taps Machine Learning to Root out Corruption’; 17 January 2020. https://www.wsj.com/articles/ab-inbev-taps-machine-learning-to-root-out-corruption-11579257001