Growing catastrophe exposure demands new approaches to managing CAT claims
When catastrophic events strike, carriers face a surge of claims that must be triaged quickly and accurately. Limited investigative resources, time pressure, and scale means every policyholder goes through the same process. As a result, genuine claimants endure a process that is unnecessarily rigorous and costly, slowing down their return to normalcy.
Get trustworthy policyholders on the fast-track to recovery after CAT events
Clearspeed’s in-the-moment risk assessments unlock a new way for CAT teams to quickly understand who or what to trust. Adjusters get clarity on potential fraud in seconds. Trusthworthy policyholders get fast-tracked to restoring their lives, and the ones who need additional scrutiny get it.
Clearspeed supports many CAT needs:
Easy insertion into existing workflows
The Clearspeed voice-based risk assessment process starts with individuals being presented with the questionnaire on any voice-enabled device. Clearspeed analyzes the individual’s vocal response to the desired question set, quickly identifying and scoring indicators associated with risk. These point-in-time, individualized results are then returned via API or available with the Clearspeed web app. This insight is used to inform next steps in the vetting or investigation process.
Clearspeed Benefits
Get faster, more accurate determinations
• Get unique risk insights where data is either challenging to find, expensive to obtain, or lacks accuracy
• Fast-track high-trust applications with confidence
• Forward applications indicating potential fraud for more scrutiny
Boost equity and reliability
• Ensure consistent, fair outcomes across all individuals with objective and unbiased assessments
• Improve the experience for trusted personnel by eliminating unneeded investigation rigor
Optimize resources and investigation spend
• Reduce investigation cycles for applications where trust is high
• Narrow focus of skilled adjusters to applications where potential fraud is found