The data we extract using Document Understanding relates to vehicle accidents. The insurance company uses this data to charge third parties involved and recover most of their money with minimal human intervention. We are extracting information from 50 insurance documents to prove the concept of showing coverage for those involved in the accident. The information from the insurance company is in PDF format and is structured so that we can easily extract information from it. The other public policy documents vary in quality depending on the state and district in Brazil. We have 27 states, and these documents are unstructured, making it difficult to extract data from them. Sometimes they are in image format, and other times they are in PDF format. The 50 structured PDF documents from the insurance company are all 100 percent automated using UiPath Document Understanding. We are impressed with the machine learning and AI capabilities of Document Understanding. We can use APIs to identify whenever a vehicle accident is reported, which helps our business. Using the AI we can access vehicle accident reports and train the machine learning to understand the majority of the documents we extract information from to help improve our business processes. We use the UiPath platform orchestrator with an API to integrate with OpenAI. UiPath Document Understanding has helped our organization demonstrate to potential customers how the solution, together with AI and machine learning, can benefit their businesses. Before Document Understanding our process took 15 minutes per document and now it takes under one minute. Document Understanding has helped free up our staff's time to work on other projects.
