Firstly, the most critical information in document searching has to be Comprehension (fully understanding), which is the work of AI/ML/NLP. Subsequently, users can search records in connected repositories by asking natural language questions. Higher Accuracy of Data – Using ML can help you process documents faster and more accurately, reducing errors caused by manual entry. In cases where data needs to be 100% accurate, you can have a human step in at any time and review data. Faster Data Processing – Implementing intelligent document processing can help you accomplish weeks or months of work in a matter of days. Improved Employee Productivity – Machine learning removes the manual process of pulling out insights from documents and entering information into various systems, enabling your employees to spend more time on value-adding business tasks. Cost Savings – Automating document workflows reduces data extraction and analysis complexity, reducing the average cost per document. In AIdot System, Fact-Finding Solution is a fundamental platform, as all the ‘magic’ of AI/ML/NLP happens here – documents are entirely read and understood. Therefore we call this a ‘Core Module.’ Subsequently, this module empowers end-users to find documents quickly, avoiding duplication of works. Especially if someone else was working on a historical project, information is rapidly needed to pitch for a new business. There are countless examples to show the usefulness of our systems. Information is the KEY. Our clients in many fields of operations that are conscious of Digital Transformation, Automation have asked us to deliver a system that streamlines tedious and repetitive day-to-day tasks. This is how AIdot System was born.