- Input a CSV with details of the policy
- Determine whether that claim represented by policy number is fraudulent or not, and what is the confidence level
Derive insights from your auto images with Google AutoML. Get a pre-trained model to detect and predict fraud.
This model is trained on Google AutoML using labeled fraud detection data in auto insurance claim processing. It predicts if a submitted car accident claim is fradulent and determines the confidence.
This package is intended to be used on RPA platform. The input is a csv file with following information: name of the insurer, insurance number, address, date and location of accident. RPA will log into CMS to get more info about the claim and will send it to the Google AutoMl package to detect fraud and determines the confidence.
- Bot Security Program
- Business Process
- Finance and Accounting
- Artificial Intelligence
- Automation Type
- Last Updated
- July 24, 2020
- First Published
- February 18, 2020
- Enterprise Version
See the Bot in Action
Download the Bot and follow the instructions to install it in your AAE Control Room.
Open the Bot to configure your username and other settings the Bot will need (see the Installation Guide or ReadMe for details.)
That's it - now the Bot is ready to get going!
Requirements and Inputs
- Requires a csv input file with following information - name of the insurer, insurance number, address, date and location
- Requires Google Cloud credentials