Historical evidence suggests that corporate executives have traditionally depended on the implementation of automated document processing systems to enhance productivity and effectively fulfil their objectives. The integration of optical character recognition (OCR) with machine learning technology offers enterprises the potential to automate various operational processes they currently utilize. The primary objective of this study is to investigate the application of artificial intelligence (AI) in the field of autonomous document processing within the business sector. The present review study utilizes a qualitative research approach technique. A comprehensive analysis was conducted on around 20 scholarly articles published from 2018 to 2024. The objective is to identify the barriers that need to be surmounted in order to effectively implement an automated system. This study aims to elucidate the operational procedures of a corporation and propose a machine learning method that is characterized by its ease of setup and maintenance. This study provides an evaluation of the suggested model’s precision by comparing it to commonly employed commandment filters in academic research. Based on the research findings, a crucial element required for the automation of document processing is a classifier that exhibits accuracy and dependability. The proposed model should serve as a suitable machine learning classifier for use in business environments.