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Consumer lending is increasingly competitive. Margins are shrinking even as credit quality standards have loosened and delinquencies have increased. New market entrants mean more credit providers are fighting for the same business, and just keeping new loan volumes steady can be difficult.
Lenders may be forced to choose between lower volume, lower margins, or lower quality. The business model of price-taking and credit rationing is obsolete. To win, lenders have to get smarter.

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This major retail banking client is based in the Nordics and central Europe. One of the key problems it faced was the screening of payments against sanctions and embargo lists. The bank’s challenge didn’t lie with the screening process itself, but rather the high-volume of false positives being generated. This caused a strain on resources to investigate the false positives, and also raised the risk of an investigator missing legitimate fraudulent transactions, which was a significant source of compliance risk and cost.
SymphonyAI Sensa-NetReveal built a cross-functional team to assess and explore different options available. The SymphonyAI Sensa-NetReveal team discussed these possibilities with the bank and agreed to create unique prototypes of SymphonyAI Sensa-NetReveal Transaction Screening, using the bank’s production data to assess what option was the best approach. The tests achieved impressive results — a 50 to 83% reduction of false positives using the tailored rule sets. Very quickly, the bank saw a good justification to upgrade its current solution.Thanks to SymphonyAI Sensa-NetReveal Transaction Screening, the bank is able to leverage past decisions and the previous volume of false positives to inform and review rule sets and continue to reduce false positive rates.

The success story doesn’t stop there. The SymphonyAI Sensa-NetReveal team continues to work with the bank in a partnership and the team is continually reviewing opportunities for further compliance cost reduction. Over the coming months, the team will be introducing Intelligent Event Triage (IET) to further reduce compliance costs, as well as trialling machine learning with sanctions and post-processing experiments. As part of the new functionality testing, the team will introduce a multi-processing node approach, 24/7 transaction monitoring and faster grade availability to aid faster deployment.

"At SymphonyAI Sensa-NetReveal, the partnership approach is imperative to tailoring our solutions to customers’ needs, and opportunities to create and test unique functionalities are maximised to reduce compliance costs, reduce false positives and inform more intelligent operations."Philippe HieronimusHead of Business Solutions EMEA SymphonyAI Sensa-NetReveal

About SymphonyAI Sensa-NetReveal

SymphonyAI Sensa-NetReveal, part of the SymphonyAI finance vertical, is a global leader in regulatory compliance, fraud and financial crime detection, investigation, and reporting. The 750 SymphonyAI Sensa-NetReveal digital, AI, and data experts work collaboratively with financial institutions across the globe to detect and prevent financial crime and optimize risk management operations.