USA 
Germany 
Global 
Netherlands 
Sweden 
UK & Ireland 
Data Accessibility
Facilitates easy retrieval and use of document-based information.
Solution
By industry
By department
Intelligent document processing is a crucial aspect of information management that involves capturing, extracting, validating, and integrating data from various types of documents to streamline workflows and make information accessible and useful. It combines techniques from image processing, optical character recognition (OCR), natural language processing (NLP), and machine learning to convert unstructured data into structured formats. For instance, in an invoice processing scenario, a document processing system would capture the invoice image, extract key details like invoice number, date, and amount, validate this information against a database, and finally integrate it into an accounts payable system.
Document processing unlocks numerous advantages, digitizing and organizing information for enhanced accessibility and efficiency.
Facilitates easy retrieval and use of document-based information.
Streamlines workflows by automating manual document handling.
Reduces operational costs by minimizing manual labor.
Increases data accuracy by eliminating human error.
Reduces physical storage needs through digitization.
Protects sensitive information by controlled digital access.
Document processing plays a vital role across diverse industries and workplaces, streamlining information management and improving operational efficiency. In property management, it facilitates the handling of lease agreements, property documentation, and tenant communications. Tax administration benefits from document processing by automating tax return processing, data extraction, and compliance checks. In the hospitality industry, document processing simplifies guest registration, invoice management, and record keeping. Moreover, document processing finds application in healthcare for managing patient records, in legal services for document review and contract management, and in financial institutions for processing loan applications and account documentation. Its versatility makes it indispensable for efficient information handling across various sectors.
Robotic Process Automation (RPA) greatly benefits from advancements in Artificial Intelligence (AI). While RPA is excellent at following rules-based processes, AI provides the capability for RPA bots to learn, adapt, and make decisions, enhancing their functionality. AI-powered cognitive capabilities like Natural Language Processing (NLP), Machine Learning (ML), and Computer Vision enable bots to understand and respond to text or voice commands, learn from historical data, and recognize images, respectively. For instance, in customer service, AI-powered RPA can analyze customer sentiments in real-time, allowing bots to handle customer complaints and queries more effectively, delivering personalized responses and improving overall customer experience.
