Abstract: A system and method of automating payment processing is disclosed. Payment documents can be processed using an array of tools including artificial intelligence integrated with the end-user's own ERP architecture. The proposed implementations maintain a logical segregation of the documents, which may include the processing of receipts, validation of documents against ERP information, tax analysis, posting of documents, as well as real-time monitoring and support of settlement and accounts payable operations. Embodiments of this approach utilize enhanced optical character recognition (OCR) techniques in conjunction with robotic process automation (RPA) and Machine Learning to produce a platform capable of enabling these processes to run end-to-end with little to no human intervention or error.

Abstract: A system and method of automating payment processing is disclosed. Payment documents can be processed using an array of tools including artificial intelligence integrated with the end-user's own ERP architecture. The proposed implementations maintain a logical segregation of the documents, which may include the processing of receipts, validation of documents against ERP information, tax analysis, posting of documents, as well as real-time monitoring and support of settlement and accounts payable operations. Embodiments of this approach utilize enhanced optical character recognition (OCR) techniques in conjunction with robotic process automation (RPA) and Machine Learning to produce a platform capable of enabling these processes to run end-to-end with little to no human intervention or error.