Abstract: A system and method for bot processing automation are provided. The system includes a processor. The system also includes a memory comprising a set of instructions, which when executed by the processor cause the processor to: receive, from a repository, the images from VDI are converted to user defined text input (CSV, XLSX, etc.,) and uses the contextual AI that can contribute to the accuracy improvement and can help to build the context for the domain knowledge base. We use Named Entity Recognition (NER) technique in Natural Language Processing (NLP) for tagging the fields and associate with knowledge graphs. With this information, the contextual AI can act like a wrapper to the BOT and validate the front end rejections.