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Key Takeaways
- Claims from major catastrophes can take months or even years to resolve.
- Catastrophe response requires insurers to balance speed with fraud prevention.
- Surging claim volumes can overwhelm even well-prepared claims organizations.
- Traditional claims operations were not designed for today's CAT environment.
When catastrophe strikes, policyholders expect their insurer to help them recover. When catastrophe strikes, policyholders expect their insurer to help them recover. Insurers share that goal, but the sudden surge in claims can overwhelm even well-prepared organizations. Employees become stretched thin, claim volumes spike and cycle times increase.
Why Is CAT Response So Difficult to Scale?
If claims volume increases tenfold overnight, insurers must rapidly expand their claims capacity. That's difficult to accomplish using traditional operating models.
At the same time, moving faster can't come at the expense of sound claims practices. Every claim still requires appropriate review. According to the Coalition Against Insurance Fraud¹, approximately 10% of all property and casualty insurance losses involve fraud. Disasters can make the challenge even greater. A 2024 Census Bureau survey² found that up to 77% of disaster survivors experienced a possible scam in the month following a disaster, including home repair scams. Insurers must also contend with fraudulent or exaggerated insurance claims.
Claims organizations are asked to accomplish two difficult objectives simultaneously: move quickly for legitimate policyholders while maintaining appropriate oversight. During major catastrophe events, that balancing act becomes exponentially harder.
What Happens When Claim Volume Overwhelms Operations?
Immediately after a catastrophe, news coverage focuses on damaged homes, businesses and communities. Months later, the stories often shift toward recovery, including the claims process.
Following Hurricane Ian, which struck Florida as a Category 5 storm in 2022, insurers received roughly 700,000 claims after an estimated $112 billion catastrophe. According to WMFE³, approximately 14% of those claims remained open one year later, while roughly 200,000 claims were closed without payment.
Similar operational challenges followed Hurricane Michael, another Category 5 storm that struck Florida in 2018. According to the Tampa Bay Times⁴, nearly 18,000 insurance claims remained open nearly a year later. While thousands involved litigation, lawmakers questioned why many others had not yet been resolved despite Florida's statutory claims timelines.
The challenge isn't limited to hurricanes or confined to Florida. Three years after the Camp Fire devastated Paradise, California, KCRA⁵ reported that many homeowners were still working through insurance disputes. A year and a half after the Eaton and Palisades fires in Los Angeles, ABC7 Eyewitness News⁶ reported that many families were still waiting for insurance payouts.
As catastrophe frequency and severity continue to increase, insurers need claims operations that can expand just as quickly.
How Insurance-Native AI Helps Teams Scale
Traditional claims operations were designed for a different era. Today's catastrophe environment requires insurers to increase capacity without proportionally increasing staffing or compromising claim quality.
Insurance-native AI extends the capabilities of claims organizations by helping them respond faster while allowing experienced professionals to focus on the claims that require human judgment.
AI can help insurers:
- Accelerate digital FNOL. Following a catastrophe, many policyholders rely primarily on their phones. Digital FNOL with multilingual SMS capabilities allows claimants to report losses quickly from virtually anywhere.
- Automate policy verification. AI can instantly retrieve and verify policy information, reducing manual work, improving accuracy and allowing claims professionals to spend more time resolving claims.
- Strengthen fraud detection. AI identifies patterns and anomalies associated with potentially fraudulent claims, helping insurers prioritize investigative resources without slowing legitimate claims.
- Prioritize claims by severity. Small issues can become major losses if they aren't addressed quickly. AI-powered triage helps insurers identify urgent claims sooner and direct adjusters where they're needed most.
- Automate eligible claims. Not every catastrophe claim requires human intervention. Business rules can automatically approve and pay qualifying claims, reducing cycle times while allowing adjusters to concentrate on more complex losses.
No insurer can predict when the next catastrophe will strike. The insurers that respond most effectively will be those that can rapidly scale claims operations while maintaining the quality, consistency and responsiveness policyholders expect. Insurance-native AI gives carriers another tool to meet that challenge.
Find out how other insurers have scaled and transformed their CAT-season readiness, and why it makes sense to act now. When insurers build AI for the routine interactions that happen every day of the year, they generate measurable ROI long before the next storm arrives while creating the scalable foundation needed to perform when catastrophe strikes.
Sources
- https://insurancefraud.org/fraud-stats/
- https://www.gao.gov/blog/after-disaster-survivors-may-get-hit-again-scammers
- https://www.wmfe.org/housing-homelessness/2023-09-27/one-year-after-hurricane-ian-florida-homeowners-rebuilding-out-of-pocket
- https://www.tampabay.com/florida-politics/buzz/2019/09/17/florida-senators-question-open-hurricane-michael-claims/
- https://www.kcra.com/article/camp-fire-homeowners-insurance-companies-wildfire/38177380
- https://abc7.com/post/palisades-eaton-fire-victims-going-state-farm-how-insurance-company-handled-claims/19326139/
