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How agentic AI is changing the way contractors assess storm damage

Hours after a storm, teams of professionals need to move quickly to assess the damage. That work used to take days of site visits and time-consuming analyses. Now, a roofing contractor can pull up a color-coded map of every roof over 15 years old within two miles with agentic tools.

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How agentic AI is changing the way contractors assess storm damage

How agentic AI is changing the way contractors assess storm damage

(Tiffany Miller) Hours after a storm, teams of professionals need to move quickly to assess the damage. That work used to take days of site visits and time-consuming analyses.

Now, a roofing contractor can pull up a color-coded map of every roof over 15 years old within two miles with agentic tools. An insurance claims manager can see which homes have the worst damage and need to be inspected first. A government assessor can map which neighborhoods were hit hardest. As hurricane season opens June 1, Eagleview Horizon, an agentic AI engine, shows how predictive AI is giving these professionals a head start.

Why the trades are under pressure

Billion-dollar weather and climate disasters in the U.S. have nearly tripled since the 2000s, now averaging 19 per year, according to NOAA. The trades are paying for it. Insurance carriers are required to handle more claims. Contractors race to keep up with demand. And government planners assess wider damage zones due to population increases. For insurers, that pressure is already showing. AM Best reported that the homeowners insurance segment had its toughest first quarter in five years, driven by January wildfires in California and tornado outbreaks across the Midwest, Southern and Plains states. That hit a property and casualty insurance market where U.S. premiums crossed $1.05 trillion in 2024, according to S&P Global Market Intelligence.

For the majority of the 100,000-plus contractors in the $25 billion U.S. roofing industry, the work hasn’t changed much. They still spend hours canvassing neighborhoods street by street. Adjusters drive door-to-door. Government planners wait for damage reports to come in. As storm seasons grow more intense and claims volume rises, that model is starting to crack.

A shift across multiple industries

AI can find information faster, but newer systems can also turn a question into a workflow.

For early adopters, that is changing more than storm response. Commercial roofers can use these tools to pinpoint structural changes and complete annual inspections more safely. Infrastructure managers can track changes over time to flag maintenance needs. Property managers can identify which assets in large portfolios are approaching maintenance risk before they fail.

What may matter most is who can do this work. Until recently, sophisticated property analysis required trained specialists and could take weeks. Now any contractor, adjuster, assessor or planner can begin with a plain question and get a clearer view of where to act first.

What this means for storm season

Trades will keep facing issues caused by more storms, and time will tell whether new tools can spread fast enough to meet the overwhelming demands of the industry.

Photo courtesy of Shutterstock

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SOURCE:
Eagleview

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