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Abrigo, a leading provider of compliance, credit risk, lending, and asset/liability management solutions, today announced upgrades to BAM+, its financial crimes detection software, including the addition of five transparent artificial intelligence/machine learning (AI/ML) anti-money laundering (AML) scenarios and the ability to direct file Suspicious Activity Report (SAR) and Currency Transaction Report (CTR) batches to FinCEN.Abrigo developed each enhancement to enable users to work more efficiently while handling fewer false positives so they can focus on truly suspicious activity.

With the new upgrade, users will have access to:Direct file SAR and CTR batches to FinCENFive new AI/ML scenariosTwo new structuring scenariosImproved WatchList and 314(a) scans to increase efficiency and customizationUpgraded navigation in the product with a modern user interfaceCustomer Profile Report integrated into BAM+On a recent customer webinar, over 80% of attendees identified direct file with FinCEN, machine learning scenarios, and new structuring scenarios as the upgrades they were most excited about.By enabling direct file of both CTRs and SARs to FinCEN, users can batch upload these critical reports and receive FinCEN acknowledgment of the upload directly within the platform.

This process saves time and ensures that nothing falls through the cracks while alerting to potentially suspicious activity.The new AI/ML scenarios determine typical patterns in behavior and alert when a transaction is different from that normal account behavior.

All five scenarios are based on the same anomaly detection algorithm designed in-house by Abrigo’s product team using the Microsoft ml.net framework.

The models are powered by transparent machine learning models that easily allow the end-user to explain to regulators how they work, a key component to any AML technology.The five scenarios monitor against credit transactions, “other” credit or debit transactions, remote deposit capture, and daily ACH debit.

Similar to other scenarios within BAM+, users can institute specific amount thresholds with each scenario and apply them to user-defined groups.“Abrigo is thrilled to release our ML-based scenarios to our valued customers and partners,” said Dave McCann, Abrigo’s Chief Technology Officer.

Amid the ongoing disruption, one promising area of study surfaces: the global supply chain, which used to be felt only on the rungs of business wanting to serve and please customers.

It’s high time for students to explore the supply chain as COVID-19 will ultimately affect every industry possible, said Dr. Haitao Li, professor of supply chain and analytics at the University of Missouri-St. Louis College of Business Administration (UMSL).Supply chain managementSignificant disruptions such as the pandemic creates risk, leading to supply shortages or a steep climb in demand for specific products.

“With Chinese manufacturers shutting down their operations, U.S. manufacturers’ global supply chain ultimately takes a hit,” Li said.

“In the same vein, it’s not surprising to see a toilet paper shortage from the supply chain perspective: this product’s supply chain usually expects a longer lead time, so you will face an imminent shortage once the demand increases overnight due to panic buying.” Its Supply Chain and Analytics department, formerly known as Logistics and Operations Management, is promoted by UMSL as the home of the most comprehensive supply chain program in Missouri.

Faculty members are using their expertise to help mitigate the pandemic’s effects; humanitarian logistics and healthcare supply chain experts Trilce Encarnacio and Shakiba Enayati, for instance, will join UMSL in the fall semester.

“We seek to delve deep into both the strategic network design and operational side, or how we can more effectively send vaccines to health workers and optimize delivery routes and schedules,” said Li of their research conducted in the South Pacific Island of Vanuatu.

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