Missed calls become competitor revenue
A missed after-hours call is rarely followed by a voicemail, let alone a callback. The customer simply keeps dialling.
An enquiry that waits until Monday is an enquiry your competitor answered on Saturday. We bring calls, forms, messages and bookings into one flow, let AI handle the repeatable parts, and route the rest to a person with the context attached.
The concierge in the corner of this site is a working example, not a mock-up.
A demonstration: an enquiry arrives at 21:40, the assistant answers it, records three details and books a Saturday viewing before Monday.
Five inputs, arithmetic you can see, and the assumptions left where you can read them. No score, no benchmark, no readiness index.
Four scripted conversations, answered instantly — because they are scripted. No model is called, nothing is invented, and no data leaves this page.
The assistant only says what this demonstration was written to say. In a live build the same interface runs against your own approved content — and anything outside it escalates to a person instead of guessing.
A missed after-hours call is rarely followed by a voicemail, let alone a callback. The customer simply keeps dialling.
Web forms, email, WhatsApp and social messages reach different people who cannot see each other's replies.
Opening hours, availability, pricing structure and location are answered dozens of times a week by someone who could be selling.
The enquiry is answered, then nothing. No sequence, no reminder, no record of whether it was resolved.
Answers only from approved material about your business, and says so when it does not know instead of improvising.
Answers routine calls, captures the enquiry, and transfers or takes a message when the caller needs a person.
Every enquiry becomes a visible item with an owner and a response target, rather than a message in someone's inbox.
Appointment taken, confirmed, reminded, and rescheduled without a chain of manual messages.
An unanswered call triggers an automatic follow-up by message so the enquiry is not lost.
The numbers that matter: enquiries answered outside working hours, time to first response, and how many escalations arrived with usable context.
The same Sunday-night enquiry, handled by an office that opens on Monday and by a line that answers. The timings belong to the scenario — this is an illustration, not a measured client result.
What gets measured in a real deployment is time to first response and how many enquiries reach a person with usable detail — not a marketing number.
Chrissie, the AI receptionist we built for a padel and tennis club, answers routine questions on a working line and hands over anything outside its scope. Live with real callers, and labelled as a client project rather than ours.
View the client projectStatus: client-project
NEXUS, the assistant in the corner of every page, answers from a curated set of published pages. Ask it about a service, then ask it for a price. It refuses to invent one and offers the contact route instead. It also knows which page you are reading.
Open the demonstration ↑Status: live
Yes. The assistant introduces itself as an AI assistant for your business on every call. Callers who ask for a person are transferred or promised a callback.
It says so and captures the question for a person. The failure mode we design against is a confident wrong answer, not an honest handoff.
Yes, where the calendar or booking system exposes an interface. Where it does not, we capture the request and a person confirms.
Usually not. We can route at the number you already have, or add a line for overflow and after-hours. Number portability varies by provider and we check it before promising anything.
In your own cloud database, not in a third-party agent dashboard, with a stated retention period. Our own privacy notice describes the equivalent for this site.