Clearspeed was featured in the December 1st issue of Risk Information's leading newsletter Auto Insurance Report. The article is authored by Edward McMenamin.
Key findings
- AI and digital tools are contributing to a rise in opportunistic fraud, making traditional detection methods less effective.
- Insurers are shifting toward early risk triage, identifying potential risk at the start of the claims or underwriting process.
- Voice-based analysis provides a new, scalable way to assess risk without relying on content, personal data, or profiling.
- Early insurer adoption has shown significant impact, including higher fraud detection rates and reduced claims payouts.
Why it matters
- A small percentage of fraudulent claims drives outsized costs across the system.
- Carriers need faster, more scalable ways to separate low-risk customers from higher-risk cases—without delaying service.
How Clearspeed helps
- Uses voice-based analysis to detect risk indicators in real time
- Enables insurers to fast-track low-risk claims and prioritize higher-risk cases
- Acts as a decision-support signal, with final outcomes determined by human workflows
