Case Study: Salient Process helps a leading insurance claims administrator achieve a 20x productivity boost with IBM Automation and AI

Automation cuts cycle times and drives productivity in claims processing

Salient Process, an IBM Gold Business Partner, helped a leading insurance claims administrator modernize a manual, paper-heavy claims process that was slowing growth. The insurer was spending hours on document review and data entry, processing only 15 claims per day and needing a faster, more scalable way to handle rising volumes.

Using IBM RPA, IBM Business Automation Workflow, and IBM watsonx.ai, Salient Process implemented intelligent automation to streamline workflows and extract data from complex documents. With IBM’s solutions, the client increased processing to up to 288 claims per day, achieved a 20x productivity boost, and cut claims cycle time by 4x, while also improving accuracy and customer satisfaction.

Salient Process

Brian French

Chief Executive Officer