Examples from prototyping work The examples below are what we hope to achieve through our prototype version of the improved process. Using an LLM for text summarization Allows for faster reading by the claims adjuster: Using an LLM for information extraction Extract key pieces of information for better population of database: Using an LLM for sentiment analysis Detect tone of text, and potentially act on it: Using image recognition to frame vehicle(s) in pictures Analyse images provided by customer: Using image recognition to detect damage Assessment of damage based on picture: Web Application to review/process claims Have an application that ties in these tools together and enables users to process the incoming claims more efficiently: 1.3 Proposed Improvements 1.5 Results and Next Steps