Case Study: CorVel offloaded 500,000+ calls from adjusters with Replicant
Key results
The challenge
CorVel's claims adjusters spent significant time on repetitive first-notice-of-loss (FNOL) intake calls, pulling focus from patient care and complex casework. The team also lacked visibility into the full population of calls, relying on a sampled fraction for insight.
The solution
CorVel deployed Replicant AI agents to handle repetitive intake calls and added Conversation Intelligence to analyze every call. The AI captured FNOL details and offloaded routine volume so adjusters could concentrate on higher-value work.
“Now, we're getting real-time insights across 100% of our calls.”
CGCindy GamboshDirector of Workforce Automation, CorVel
The results, in context
Replicant offloaded more than 500,000 calls from adjusters and cut FNOL handle time by 50%, with intake time dropping from five minutes to two and a half. Conversation Intelligence gave the team insight across 100% of calls rather than a sample.