Case studies
Representative engagements showing how our AI Chat Agents perform across sectors. Figures are typical results from comparable deployments.
A busy London lettings agency received a steady stream of website enquiries — but most arrived evenings and weekends. By the time negotiators replied the next morning, applicants had often booked viewings with faster competitors. The team was working hard; the clock was simply against them.
An AI Chat Agent trained on their live listings, fees and application process, with viewing slots connected to each negotiator's diary. Applicants asking about a property at 11 PM now receive an instant answer, are qualified on budget and move-in date, and book a viewing on the spot — confirmation email included.
Viewings from website enquiries roughly tripled, with four in ten bookings arriving while the office was closed. Negotiators start each morning with a qualified, pre-booked diary instead of a backlog of cold emails.
Reception at a multi-chair dental practice spent hours daily on the same questions — prices, insurance, opening times — while booking calls went to voicemail during treatments. No-shows quietly drained revenue: an empty chair costs the same as a full one.
An AI Chat Agent trained on treatments, fees and insurance policies, with live appointment booking and automatic email confirmations and reminders. When a question needs clinical judgement, the agent honestly says so and books a call-back instead of guessing.
Routine questions moved to the agent, the front desk returned to patients in the room, and written confirmations plus reminders cut no-shows by more than a third. New-patient bookings now arrive around the clock.
A boutique law firm's enquiries were a mixed bag: strong cases buried among questions outside their practice areas. Every one was screened by a paralegal — thorough, but expensive, and slow enough that good clients sometimes instructed elsewhere first.
An AI Chat Agent that explains the firm's practice areas and process, pre-qualifies matters with a short structured conversation, books consultations into the right partner's diary — and hands over to a human instantly when a matter is urgent or sensitive.
Fee-earners reclaimed the better part of a working day each week, consultation bookings doubled, and clients now receive a professional first response in seconds regardless of when they enquire.
At peak service, the phone rang unanswered — reservations, allergy questions, "are you open bank holiday Monday?" — while staff plated food. Every unanswered ring was a table that booked somewhere else.
An AI Chat Agent on the website trained on menus, allergens, opening hours and private-dining packages, taking reservation requests and event enquiries with instant email confirmations to guests and the manager.
The vast majority of reservation traffic moved off the phone. Allergy questions get accurate, consistent answers from the actual menu data, and private-event leads — the highest-value enquiries — stopped slipping through during service.
A growing salon had no dedicated receptionist: stylists answered the phone mid-appointment or not at all. Bookings lived in a paper diary, double-bookings happened, and evening enquiries waited until morning.
An AI Chat Agent answering service and price questions and offering live booking slots per stylist, with confirmations and reminders by email. The owner joins conversations live from her phone when someone wants the personal touch.
Most bookings now happen without interrupting anyone's scissors. Double-bookings disappeared with slot-level availability, reminders reduced no-shows, and clients quietly upgraded services after asking "what would you recommend?" at midnight.