A2019 - Fraud Detection

This bot uses Google AutoML image recognition capabilities to detect fraud in context of auto insurance claim processing.

Top Benefits

  • Industry-leading accuracy for image understanding
  • Detect and classify auto images for further downstream automation
  • Semalessly integrates with RPA to use in your bot workflows
  • Engaging mobile experience to enables customers upload auto images

Tasks

  • 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.

Get Bot

Free

Bot Security Program
Level 1
Applications
Business Process
Category
Downloads
67
Vendor
Automation Type
Bot
Last Updated
July 24, 2020
First Published
February 18, 2020
Enterprise Version
A2019
ReadMe
ReadMe
Support

See the Bot in Action

Fraud Detection Auto Claim
Auto Claim Workflow
Analyze Auto Images
PREV NEXT
Fraud Detection Auto Claim
Auto Claim Workflow
Analyze Auto Images

Setup Process

Install

Download the Bot and follow the instructions to install it in your AAE Control Room.

Configure

Open the Bot to configure your username and other settings the Bot will need (see the Installation Guide or ReadMe for details.)

Run

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