The system is designed to let AI learn transaction patterns on its own and flag new types of financial wrongdoing.
Using the bank’s full set of financial transaction data, it screens for unusual signs and uses AI to automatically generate inspection data and preliminary scenarios. After the scenarios are checked for accuracy, they are applied to actual inspections, which the bank said can strengthen prevention through daily monitoring.
The platform also analyzes unstructured data such as scanned images and applies retrieval-augmented generation (RAG) to make large volumes of inspection materials easier to use, improving the efficiency of internal controls. RAG is an AI method that automatically finds and organizes needed information, reducing the time staff spend reviewing documents and enabling faster checks.
A Woori Bank official said the upgraded AI-based FDS inspection system will expand the scope of daily monitoring and allow the bank to respond proactively to hard-to-predict financial incidents. The official said the bank will actively introduce AI into internal controls as part of its shift to an AI transformation-based management system to help prevent financial incidents.
* This article has been translated by AI.
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