AUTOMATIC GENERATION Of A TWO-PART READABLE SUSPICIOUS ACTIVITY REPORT (SAR) FROM HIGH-DIMENSIONAL DATA IN TABULAR FORM

A computerized-method for automatically generating a two-part readable Suspicious Activity Report (SIR) from high-dimensional data in tabular form, said computerized-method comprising:

• in a computerized-system comprising a processor and a memory, receiving by the processor, high-dimensional data in tabular form of evidence financial transactions to be reported wider Anti Money Laundering (AML) regulations, performing by the processor:
• displaying the received high-dimensional data in tabular form of evidence financial transactions to a Subject Matter Expert (SME) for ordering each displayed evidence financial transaction in a predefined construction;
• training one or more Natural Language Generation (NLG) translation models on the evidence financial transactions in the predefined construction, wherein each NLG model of the one or more NLG translation models is trained for a different preconfigured transaction type, according to a deep learning model;
• operating the one or more NLG translation models on the different preconfigured transaction type of the evidence financial transaction to generate for each transaction type a narrative of SAR;
• operating a prebuilt summary model on the generated narrative of SAR of each transaction type to generate a summary of the narrative of SAR;
• and
• combining the narrative of SIR and the summary of narrative of SAR to one SAR.