DOCUMENT MANAGEMENT businessinfomag.uk magazine 22 In the next 2 years, AI will play a major role in helping businesses analyse content and sentiment from documents for automatic processing through workflows AI was one of the hottest topics at PFU’s Information Capture Conference in Dubai, where PFU’s Christophe Laurence explained how the combination of scanning and AI could precipitate a revolution in document management limited scalability to handle large volumes of documents; and a lack of integration with other systems leading to ‘silos’ of information. Christophe began by breaking down the stages by which the ‘AI revolution’ is likely to take place. The first stage is the use of AI to perform document categorisation by type. Then, data extraction and validation. Third will be document classification – automatically putting a digitised document in the right place, with a meaningful file name. Next comes semantic understanding – which will help systems to route documents to the appropriate workflow or individual. The last stage is data analytics, where AI is used behind the scenes to increase knowledge worker productivity, for example the number of invoices handled, or average processing time. Real world applications One advantage of AI-driven document processing is its rapid categorisation of documents based on content. For instance, an AI system can learn to recognise financial documents like POs or invoices, routing them automatically to relevant departments. This streamlines workflows and mitigates human errors linked to manual categorisation tasks. The presentation moved on to real world use cases including claims processing, an application prone to many of the obstacles mentioned above, not least manual processing which is slow and can lead to delays in claim settlements. n It can be error-prone: manual entry increases the likelihood of mistakes and inaccuracies. Christophe Laurence, EMEA Business Development Director at PFU, hosted one of the best attended presentation sessions at the company’s Dubai conference, offering a raft of insights into how AI will work together with PFU’s own offerings to enhance information and document management across all kinds of sectors. “In the next 2 years, AI will play a major role in helping businesses analyse content and sentiment from documents for automatic processing through workflows,” said Christophe. He went on to suggest that 70% of IT decisionmakers believe that AI-based document processing solutions will be critical to their business over the next 5 years. There are numerous obstacles hindering efficiency and adaptability in modern document management: manual sorting and filing processes are timeconsuming; it can be difficult to retrieve and/or search for specific documents; there is risk of human error in data entry and indexing; Taking advantage of AI 15 Next generation AI technology in Document Management Focus on Natural Language Processing (NLP) for Automated Customer Claim Processing Sen3ment Analysis Importance Level Determina3on Categoriza3on and Tagging Automated Document Rou3ng Automa3on of Customer Responses Issue Resolu3on Assistance
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