# How CorVel uses Replicant

**50%**: “50% decrease in FNOL handle time.”

As published on [replicant.com](https://replicant.com/case-studies/corvel-case-study-2). Captured by usedby on 2026-10-08.

- Company: [CorVel](https://www.usedby.ai/companies/corvel.md)
- Tool: [Replicant](https://www.usedby.ai/tools/replicant.md)
- Teams: Contact Center, Adjusters, Nurses

## What the story says

CorVel uses Replicant's AI agents to automate First Notice of Loss intake calls and to answer repetitive status-check calls, transferring callers to nurses with the information already captured. It also uses Replicant's Conversation Intelligence to analyze and score every call for QA and coaching.

Summary written by usedby from the source page, in English. The figures are those of Replicant and CorVel, not ours.

> 50% decrease in FNOL handle time. Intake time dropped from five minutes to just two and a half

- **500,000+**: “500,000+ calls offloaded from adjusters.”
- **100%**: “100% of calls analyzed.”
- **15+**: “15+ more claims processed per adjuster.”

> Before Replicant, nurses were spending time on non-clinical intake,” said Cindy Gambosh, Director of Workforce Automation, CorVel. “Now, they can immediately begin injury assessments, just like doctors stepping into an exam room already knowing the patient.
>
> Cindy Gambosh, Director of Workforce Automation

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 50% is printed word for word on the page, near the name of CorVel.
- Checked: the passage quoted above is copied word for word from the page, near the name of CorVel.
- Checked: CorVel uses Replicant. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/corvel-replicant · How we check: https://www.usedby.ai/methodology