United StatesFinance and insurance2020 – ongoingTravelers
Wildfire Loss Detector
Travelers used aerial-image AI to identify wildfire total losses before customers filed claims
Problem
Wildfires could prevent adjusters from reaching damaged properties. Customers with severe losses needed help before on-site inspections became possible.
Approach
Travelers compared pre-event and post-event aerial images using AI to identify total losses. After the January 2025 California fires, it confirmed affected locations by Friday and called customers with unreported losses on Saturday. Staff helped initiate claims and arrange assistance.
Results
No published figures
Takeaway
Remote damage detection changed when claims staff contacted customers, allowing outreach before a claim was reported.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Production and qualityCustomer service
- Innovation type
- Process innovation
- AI technology
- Computer visionPredictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Travelers described AI-assisted aerial-image analysis and its response to the January 2025 California fires. It reported identifying total losses and proactively contacting customers who had not yet filed claims.
Travelers listed the Wildfire Loss Detector among its earlier award-winning systems. The tool received a CIO 100 award in 2020.
Full details are in the original sources.