Intelligent Document Processing – Hyperautomation

Our solution of intelligent document processing expands the Robotic Process Automation (RPA) capability with Artificial Intelligence, Machine Learning Models and also includes Human in Loop via Action Center for classifications as needed. The Bot continuously learn new document templates, resolves error by classification and Deep Learning of ML model with extracted Taxonomies.

It starts with robotic process automation (RPA) at its core, and expands automation capability with artificial intelligence (AI),  analytics, and other advanced tools. Artificial intelligence capabilities such as machine learning (ML), natural language processing (NLP), intelligent optical character recognition (OCR), and AI computer vision, so robots can read, see, and process more work.

Challenge – We see a lot of use cases involving scanned documents that have to be manually processed one by one, the processors must retype the text or use standalone OCR tools to copy and paste information from a PDF file into the ERP/ Database systems for further processing.

Solution – Cognitive automation uses technologies like OCR to enable automation so the processor can supervise and take decisions based on extracted and persisted information. he ability to handle unstructured data makes intelligent automation a great tool to handle some of the most mission-critical business functions more efficiently and without human error.

Adoption – We see cognitive automation improving other areas like healthcare, insurance, finance where providers must handle millions of forms of all shapes and sizes. Employee time would be better spent caring for people rather than tending to processes and paperwork.