The study addresses the role of artificial intelligence in the intelligent processing of documents by using natural language processing (NLP) to review and analyze documents. The more documents artificial intelligence scans and analyses, the more end users interact with the documents, and the more intelligent it becomes in identifying and processing information. The problem of the study is to demonstrate the role and ability of artificial intelligence in intelligent document processing (IDP) and the process of automating data extraction from unstructured and semi-structured documents and converting them into structured and usable data in companies. The study used the descriptive analytical method, which is based on collecting information about the subject under study and analyzing it to arrive at facts and results that can be generalized. The study reached several results, the most important of which is that large institutions and emerging companies resort to Intelligent Document Processing (IDP) technology as one of the important solutions in dealing with unstructured data and storing it in the form of structured data that enables the institution to benefit from it in decision-making.