Enhancing Data Extraction from Insurance and Provider Lifecycle Documents with AI-Driven Parsing

Abstract

Within the context of document management systems, the current investigation is centred on the application of Power Automate Flows for the purpose of data extraction. They are as described below: Power Automate Desktop features like desktop flows; integration with third-party services especially Microsoft techniques; optimal use of conditions, error handling, and looping; and code-free system documentation solutions to enhance company processes. In addition, it aims to facilitate the management and monitoring of the automatic jobs that comprise a project to enhance the user-friendliness and functionality of the system.

Using concrete examples of daily actions common to most desktop workers, the study demonstrates how Power Automate Desktop may improve routine procedures and increase productivity. To highlight the automation solutions' adaptability and highlighted features, also detail their integration with several products and services.

To determine how effective automation is, the research ensures that the methods given can address common problems by imposing evaluations on condition utilisation, error handling, and looping. Increased performance, fewer mistakes, and user happiness are revealed by the defined objectives, according to the results achieved. Because low-code automation tools like Power Automate Desktop have the potential to revolutionise general documentation and business operations in the future with the aid of a scalable model, the results of this study can contribute to our understanding of how to use them.