How does an AI receptionist qualify callers asking about commercial tile flooring contracts?

An AI receptionist qualifies callers asking about commercial tile flooring contracts by asking a structured set of questions that mirror what your sales team would need to know before sending anyone out. The system collects the basics first — the caller's name, company name, callback number, and the best time to reach them — and then moves into project-specific questions like the square footage involved, the type of facility (warehouse, retail space, medical office, restaurant), the project timeline, and whether they're the decision-maker or working under a general contractor.

From there, the AI can be configured to screen for budget range or minimum project size if your business only takes on contracts above a certain threshold. If a caller says they need 200 square feet of tile in a break room and your company only handles large commercial jobs, the system can politely note that and direct them elsewhere rather than wasting your estimator's time. On the other hand, if someone describes a 40,000 square foot warehouse floor recoat with a firm start date, the AI can flag that lead as high priority and route it immediately through a text or email alert to the right person on your team.

The qualification logic is set up by you during onboarding — you define what makes a lead worth pursuing. The AI doesn't make judgment calls beyond the rules you give it, but it applies those rules consistently across every call, whether it comes in at 8 AM or 11 PM. It also captures everything in a summary so your team never has to call back just to gather basic information they should have had from the start.

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