FIELD NOTES

AI For Roofing Companies: Lead Qualification To Job Scheduling

Storm-chase season is brutal. Here is how we automate intake, qualification, photo review, and scheduling for roofers without losing the close.

How the post opens

Storm season at a roofing company is brutal. Lead volume spikes 10x in 72 hours, the close rate drops because nobody can call back fast enough, and the wrong leads get scheduled while the right ones go to the competitor. Below: the AI stack we built for two storm-chase roofers. The 72-hour deploy plan We ship most projects in this category on a 72-hour clock. Interview the two people who do this job today.

What it argues

Interview the two people who do this job today. Pull 50 sample inputs (calls, chats, tickets). Identify the three top customer intents. Stand up the eval harness with 25 cases drawn from the sample inputs. The eval harness has to exist before the first prompt does.

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Why this one exists

Storm-chase season is brutal. Here is how we automate intake, qualification, photo review, and scheduling for roofers without losing the close. It is filed under Vertical Playbooks because that is where operators looking for this problem actually start, and it is written from production work rather than from a content calendar.