Abstract: Provided is a system for implementing an automated system leveraging ML to classify, extract, and process payment-related documents. The system is designed to handle various document formats, including structured (e.g., EXCEL, CSV) and unstructured formats (PDFs and images). By developing and continuously training the ML model with a comprehensive set of labeled fields, the system can automatically recognize and extract the required data from incoming documents. This automation will replace the need for manual profiling of customer subscription fields and reduce the manual effort required to review and extract information from documents. The extracted data will be converted into a standardized format, allowing downstream application components to store and enrich the payment information effectively. The continuous enrichment of the ML model with new data ensures that the system adapts to evolving document types and content, thereby maintaining high accuracy and efficiency in data processing.