LexisNexis Risk Solutions Debuts AI Location Intelligence to Transform U.S. Home Insurance Underwriting

Quick Summary

LexisNexis Risk Solutions has launched Location Intelligence for Home, an AI-driven predictive model designed to help U.S. home insurance carriers improve property risk assessment. By combining proprietary claims data with neural networks, it identifies properties 20 times more likely to have a claim, enhancing underwriting precision and efficiency.

How Does Location Intelligence Improve Property Risk Assessment?

The new solution from LexisNexis Risk Solutions addresses the limitations of traditional underwriting by moving beyond simple exterior inspections. By utilizing advanced neural networks, the system analyzes both weather-related exposures and non-weather drivers, such as internal plumbing failures, which are often overlooked. This property risk assessment tool integrates directly into existing workflows via the Smart Selection platform, allowing carriers to:

• Identify high-propensity loss properties with 20x higher accuracy.
• Analyze six specific perils including hail, wind, and non-weather water.
• Apply customizable business rules to automate inspection flags.

Front-loading risk data ensures that insurers can segment their portfolios more effectively, focusing resources on properties that require immediate action or mitigation strategies.

What Specific Perils Does the AI Model Track?

The Location Intelligence model is specifically trained to evaluate contributors to loss that traditional models frequently miss. In 2025, non-weather water claims accounted for 24% of all claims, yet many insurers still rely on weather overlays. This AI-driven approach provides granular scoring for:

• Weather Events: Hail, wind, and freeze patterns.
• Structural Risks: Collapse and falling objects.
• Internal Drivers: Non-weather-related water damage and plumbing issues.

“Rising loss costs and shifting risk patterns are making it harder for home insurers to rely on traditional underwriting approaches alone,” said George Hosfield, vice president, home insurance, LexisNexis Risk Solutions. “By bringing Location Intelligence into Smart Selection, we’re giving home insurers a more consistent way to assess personal property risk using deeper, location-based insights within the workflows they already use.”

Why is Data-Driven Underwriting Essential for Modern Carriers?

With rising repair costs and an increase in catastrophic events, carriers can no longer afford the "critical gaps" left by legacy models. Predictive risk scores allow for a shift from reactive claims management to proactive risk mitigation. By understanding historical loss patterns at a granular level, insurers can partner with homeowners to prevent damage before it occurs. This portfolio-level visibility is crucial for maintaining profitability in a volatile market where traditional exterior condition data is no longer sufficient to predict modern loss trends.

FF NEWS TAKE:

This launch by LexisNexis Risk Solutions definitely moves the needle for the insurtech sector. By proving that properties with high scores are 20 times more likely to file claims, they are providing the property risk assessment precision that carriers desperately need to combat rising loss ratios. Moving beyond "easy signals" to complex neural network modeling is no longer a luxury; it is a requirement for survival in the U.S. home insurance market.