Customers: Post Bank (formerly Leto Bank) Moscow; Financial Services, Investments and Auditing Contractors: Financial Information Systems (FIS, FIS, Finsoft) Product: FIS ACATProject date: 2022/03 - 2022/05
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2022: Launch of automated text analysis system
On July 28, 2022, FIS announced that Post Bank had launched an automated text analysis system (FIS ASAT) based on the no-code of the FIS Platform. It is designed to automate the work of security specialists with incoming requests from law enforcement agencies.
According to the developers, FIS ASAT allows you to reduce the use of manual labor by 30%, reduce the time for receiving information from related departments by 25%, and increase access control to information by 47%.
The implementation of the system took about three months. As noted by the credit director of Post Bank Olga Stepanova, this project is a logical continuation of the bank's long-term cooperation with FIS.
"Introduced in 2018, the FIS Antifraud fraud system allowed the bank to recognize fraudulent schemes 2 times faster. Post Bank is focused on the development of innovative technologies and compliance with modern standards of digitalization, so we continued to automate a set of business processes to identify risk events, "Stepanova said. |
"We have provided the Post Bank with a customer base of more than 20 million people with an important tool to improve labor productivity and minimize time costs. In the first month of connection, the system has already processed about 700 requests, "said Amangeldy Mamyrbekov, FIS Development Director |
Users of the ACAT system can assist in investigating internal and external threats. The system conducts an intelligent analysis of unstructured texts (mail, arbitration documents, etc.) to draw up a profile of objects (individuals and legal entities) and document the risk events that have occurred for each of them.
Thanks to the implementation of the system, the bank plans to improve the speed of processing and preparation of information on incoming requests from law enforcement agencies, improve the unified information environment, as well as the general methodology for data management.