The same twenty questions, answered from your own stock, prices and order status. On the website, WhatsApp, WeChat, Facebook and the phone, in English and Mandarin.

Do you have it in stock. What does it cost. Do you deliver to Hamilton. Is mine still under warranty. What time do you close. Each one costs a person a few minutes and a look in a system somebody has to know their way around. They arrive on the website, on WhatsApp, on Facebook, on WeChat and on the phone, and as many of them arrive after five as before it.

The agent sits on the live record, not on a page of FAQs. It can look up a student, check what is available and draft the reply.
Anything that commits the centre — a booking, a price, a change to a class — goes to a person before it is sent.
Answer the enquiries →The two ways this goes wrong are well known. It invents a price with total confidence. Or it traps someone in a loop with no visible way to a human. Either costs more than the receptionist it replaced, which is why most owners here have already decided chatbots do not work. Four things to ask of any AI receptionist, with what each one costs when we build it:
Stock, price, order status, hours, warranty — read live from the record. Anything not in the record, it does not answer. The cost: it will decline questions a person would have handled, until we widen what it can reach, and month one involves a list of those.
Not buried three levels down. The cost: some conversations hand over that could have been finished, particularly early.
Discounts, specials, anything negotiable goes to a person with the context attached. The cost: this does not replace a salesperson, and we will not claim it does.
The enquiry that would have died in a Facebook inbox is attached to a person, and the win-back agent can act on it a year later. The cost: none — but it is why we build this rather than resell a chatbot, and it only works if the data foundation is in.
The data foundation: one record of stock, prices, orders and customers for it to read. Without that it has nothing true to answer from, so we build the record first. It is for anyone whose staff spend the morning answering questions a system could look up.
Every engagement follows the same four steps, in the same order, whatever the size of the job.
The full terms are on How we work; the other nine offerings are on Offerings; who owns the data is on Data ownership.
Four steps, two minutes. Within two working days: can AI take them on, what it needs, roughly what it costs.