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