Case Study

How Frontline Insurance Leveraged Liberate Voice AI to Resolve 70% of FNOL Calls Autonomously

Frontline is known for exceptional claims service, but the carrier saw an opportunity to raise the bar even higher. This case study shows how Frontline used insurance-native AI to eliminate hold times, scale during call volume surges and preserve the high-quality service policyholders expect, ultimately achieving a 70% autonomous FNOL call completion rate and reducing call duration by 53%.
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What you'll learn
  • How to eliminate hold times for FNOL calls with insurance-native AI.
  • How to increase autonomous claim completion while maintaining service quality.
  • How to reduce call handling times and lower operational costs.
  • How to scale claims operations during CAT events without sacrificing customer experience.
  • How to implement AI with the transparency and guardrails insurers require.
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Voice AI FNOL Case Study

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