Impact, in their own numbers.

THE PROBLEM

On the US and Mexico border, nearly half of enquiries came in Spanish, around the clock. After-hours and Spanish-language enquiries slipped through, and the consultations that did get booked were clogged with people who were never serious, burning the surgeon’s time.

WHAT WE BUILT

A bilingual AI receptionist that answers instantly by voice and chat, day or night, in English or Spanish. It runs the whole intake in the patient’s own language, gathers the details and photos a real consultation needs, then hands off to an AI scoring layer that reads each lead’s intent and the channel it came from. Only genuinely qualified, procedure-ready patients land on the calendar, automatically.

THE RESULT

No enquiry missed, whatever the hour or language. The surgeon’s calendar holds only real candidates, and the clinic can finally see which channels produce patients who actually book. The whole system is theirs.

THE PROBLEM

Thousands of past enquiries sat cold, written off as dead. And when prospective patients asked AI assistants like ChatGPT and Claude for the best clinic in their area, this clinic was nowhere to be found.

WHAT WE BUILT

An AI reactivation engine that works through the entire back-catalogue of old leads and revives them into booked consultations, plus a review-and-content system that captures patient reviews at the right moments and publishes structured content so the clinic becomes the option AI assistants surface and recommend.

THE RESULT

Revenue pulled back from leads the clinic had given up on, and steadily growing visibility as a recommended clinic in AI search. The system runs on its own, and the clinic owns it.