Can AI Qualify Leads for Contractors?

The qualification problem for contractors: a human receptionist who answers a call has to decide in real time what to ask, may forget to collect key details, and records the information inconsistently. A callback-based qualification model asks the questions hours later — and only reaches the customer about half the time. AI qualification asks every question every time, in a natural conversation, and logs it automatically.

You define the qualification criteria. For a roofing company: is the roof accessible, what type of roofing, when did the damage occur, is it insurance or out-of-pocket? For an HVAC company: what type of equipment, how old is the system, is it no-heat or no-cool? The AI runs through these questions conversationally — not as a form, but as a dialogue — and summarises the answers in a structured lead record.

What doesn't work well: AI qualification is less effective for commercial or multi-site jobs where the customer themselves doesn't know the answers to technical questions. In those cases, the AI collects what it can and flags the lead for a human follow-up call, noting the gaps. The human call then has context instead of starting from scratch.