A large US based healthcare insurance company manually processed claims requests, which resulted in errors and inaccuracies. Moreover, a spike in backlog volume, an increase in the percentage of human errors, and longer cycle times for servicing and processing claims caused records to be processed incorrectly. This led to reduced customer satisfaction and made it challenging for operations teams to scale effectively.
Due to the processing delays, the client accumulated a backlog of 70,000 records that needed to be processed.
This is where EdgeVerve AI Next stepped in. It helped process the backlog of customer requests, significantly reducing the backlog volume and human errors, while also enabling the client to scale the volume of incoming customer requests.
Impact
>25 main rules automated
A total of 10,000 transactions processed via EdgeVerve AI Next Platform’s intelligent automation
Achieved more than 40% productivity in claims processing through automation
Approximated savings in FTEs – 150
24 hours Ability to extract and deliver 2 years’ worth of data within 24 hours to regulatory bodies like the FDA
Automate claims processing with EdgeVerve AI Next!
Download the case study to learn how EdgeVerve AI Next enabled the healthcare insurance company to automate more than 10,000 transactions, substantially reducing backlogs.
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