Customers get an answer late and walk away.
An AI agent answers at once, takes prices only from your price list, hands hot leads to a manager and reminds both the manager and the customer.
A customer doesn't leave while waiting for an answer.
No headaches left
I'll take the routine off you: an agent replies at any hour, books, reminds and hands the complex to a person. It doesn't tire, doesn't forget and answers at once.
Customers get an answer late and walk away.
An AI agent answers at once, takes prices only from your price list, hands hot leads to a manager and reminds both the manager and the customer.
A customer doesn't leave while waiting for an answer.
People write in Instagram and Telegram at night — nobody answers until morning.
The agent answers from your price list and schedule and books a free slot; in the morning you see the booking made.
In the morning — bookings, not unread messages.
Clients come less often, and some are gone for good.
The agent writes “time to book” after the client's usual interval and brings back those who haven't been in a while.
Clients come back without your calls.
A live trial on sample data. Click around — it works.
Typical systems in this area. A “from” price is for a standard scope; the exact price comes after we talk, in the contract.
You tell me which routine you want to remove: what questions come in and where customers get lost.
We agree on what the agent can and can't do, where it takes prices from and when it calls a person.
I show how the agent answers typical questions from your customers before you decide whether to launch.
I connect it to the chat, site or messenger where customers already write to you.
I watch the answers and update: rules and outside services change, and the agent has to change with them.
It takes over repeating routine: answers to typical questions, booking, reminders. Live complex sales and responsible decisions stay with a person — the agent hands them to you.
A bot follows buttons and a script. An agent understands a question in its own words, answers from your data and decides itself when to call a person.
I set it up so the agent takes prices and terms only from your price list and rules. What isn't in the data it doesn't invent — it hands the question to a person.
That's why I watch the conversations and fix the rules. The agent hands disputed cases to a person, and you can see the conversation log.
Where customers already write: in Telegram and on the site. Other channels we can discuss for your task.
I give the price after we talk and before you pay: it depends on how many tasks the agent takes over. The cost of running the AI model itself I name separately and in advance.
Yes: above is a live trial on sample data, and I'll show a working demo on your own questions. The $100 demo deposit counts toward the project price.
The FROST manager will listen, sketch a solution and give a price and timeline estimate. You only pay after you've agreed to the price and terms.
Discuss your task