Short YouTube commentary by Adam Sand describing how AI and drone technology can automate roof damage assessment and rapid estimating after a hail event. He outlines an end-to-end workflow: drones image neighborhoods, automated image processing identifies damage and measures roofs, measurement outputs feed quoting tools, and document/LLM tools generate supplements to estimates within ~20 minutes.
You flies a drone over a neighborhood hit by hail. Okay, it's using scale AI image processing, so it flies over an entire neighborhood. Image processes is all the damaged roofs and dents instantly orders or could even just measure it. Like Drone Deploy can measure a roof, then it feeds those measurements into a quoting tool that automatically calculates the price to replace the roof. So that's basically combining like sumoquotes, measurement tokens, Roof Hawk, Eagle View, or drone Deploy. Then it could write the estimate. Google Document AI could read the exactimate as it is, compare that to a language model that's been trained on the local building code, see what's missing, and write a supplement within 20 minutes of the drone going over the house. Comment below this video with your thoughts.
