Reducing claim intake time by 40% with AI-powered automation

A leading property and casualty insurer wanted to improve the efficiency of its claims intake operations. Every claim submission, whether from customer calls, emails, or written reports, had to be reviewed and translated into structured claim records before the investigation process could begin. 

As submission volumes increased, intake teams spent considerable time reading transcripts and messages to locate essential claim details. To simplify this process, the insurer introduced AI-driven intake automation capable of interpreting unstructured claim information and organizing it for faster claim registration. 

Here’s what the client achieved: 

• 40% faster claim intake processing 
• 30% improvement in claim data capture accuracy 
• Lower manual effort in completing claim forms 
• Quicker claim registration and triage within claims workflows 

A closer look at AI-enabled claims intake 

Download the full case study to understand how intelligent extraction of claim information helped streamline intake operations, improve data accuracy, and accelerate the start of the claims process.