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AI Drone Inspections: What Changed In Our Workflow This Summer

We rebuilt our post-storm inspection stack around AI damage detection. Here's what's faster, what's better, and what still needs a human eye.

June 1, 20266 min read

We've been flying drones on every inspection for three years. This spring we rolled out an AI damage-detection layer on top of the flight data, and the difference in turnaround time has been dramatic.

What the AI does well

  • Auto-counts hail impacts per slope and flags densities above the carrier threshold.
  • Distinguishes mechanical damage from blistering and granule wash with high accuracy.
  • Generates a slope-by-slope damage map the adjuster can drop straight into Xactimate.

What still needs a human

Flashing details, prior repairs, ventilation, and any soft-metal collateral still get a manual review. The AI is a force multiplier, not a replacement — every report still gets signed off by a project manager before it goes to the carrier.

The homeowner impact

Inspection-to-report turnaround dropped from 48 hours to under 6. That matters in a storm season where the next cell is always 72 hours out and adjuster calendars are filling up by the hour.

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