AI and Machine learning based Recommendation and best practice insights helps insurance businesses reduce operational inefficiencies, keeps claims team compliant while reducing claim costs. Charlee recommendation engine starts to work at the onset of the claim, at the FNOL, providing recommendations based on industrys best practices. Claims examiners can use these recommendations to make informed decisions based on various insights identified in the claim. These recommendations can really help identify training areas, aid junior claims staff as a cyber supervisor and is a great audit tool to identify potential best practice issues.

Example: Cause of Loss/LOB: Bodily Injury/GL Claim Charlee Recommendation: *Short Description: Requested Repairs completed *The Recommendation: Has the inspection been conducted, confirming that the requested repairs have been completed?

Key Features

• Get insights from structured and unstructured data.
• API supports real time and batch mode (Depending on size of request). WebApp supports batch mode.
• Batch mode results will be delivered within 24-48 hours.

Line of Business Covered

• Personal property (Including all CAT losses) loss.
• Commercial property (Including all CAT losses, COVID-19 BI).
• General Liability. All other lines: Contact Sales

Charlee API also offers these insights- Red Flags, Alerts and Litigation prediction as a private offering. Contact us at info@infinilytics.com  for the private offering.