AI automation

You open Telegram and the hotel has already reported itself: who checked in, who checked out, which rooms are free tonight. Nobody assembled it by hand.

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Who it is for

Trading companies with 10–200 staff and an accountant who is always busy
Manufacturers: textile, food processing, construction materials — the sectors with the heaviest paperwork
Private clinics and dental networks keeping bookings, records and reminders by hand
Service businesses where every deal lives in a Telegram group

Problem

Every morning our accountant spends two to three hours pulling yesterday's sales out of the accounting program, pasting them into a spreadsheet and sending a screenshot to the owners' Telegram group.

Your Telegram

✓ 08:00 · arrived

Today's report is already in the group. Nobody put it together.

What it looks like today

By the time it arrives it is 11:00, and one line is usually wrong.

Leads come in from Instagram, Uzum and the website, land in three different Telegram chats, and nobody replies until someone remembers. Invoices, contracts and delivery notes are typed by hand from the same numbers — we have five people doing work a system should do.

What changes in your business

A daily report from your accounting program or spreadsheets in your Telegram group at 08:00 — instead of a 2–3-hour manual job (target for the first workflow)
Every new lead answered and logged within 15 minutes in working hours, in the customer's language
Invoices, contracts and delivery notes generated from one source of data, with the numbers checked before anyone signs
Invoice-to-order matching that flags mismatches the same day, not at month-end
A one-page AI usage policy and data rules, so staff know what may and may not go into a model
Before-and-after numbers for every automated workflow — a one-page report you can forward to your director

Three steps, in this order.

Step 1
Process review
A 30-minute call plus one visit to your office. We map where the hours actually go — exports from the accounting program, spreadsheets, Telegram chats, paper — and pick the 1–2 workflows with the biggest return. You get a written scope, a price and an honest go/no-go.
Step 2
First project
We build the 1–2 workflows on your real data, with your accountant and manager in the loop every week. Then we measure: minutes saved, reply time, error rate — numbers you can show the owners.
Step 3
Scale
Once the first project pays for itself, we add the next workflow, keep the bots monitored and train your team. Terms are agreed with you, and you can stop at any time.

What you sign off on

A process map and a module breakdown: what gets built, and in what order
The working automation itself — reports, replies to enquiries and documents that run on their own
Integrations with the systems you already use, as far as those systems allow
Documentation and user instructions in plain language
Training for each role on your team

The price depends on the type of application: web, desktop or mobile.

Less than the problem costs you — or we tell you straight.

By agreement

We count what this costs you now — hours, missed customers, errors. The quote comes after, set against that number. The final price is agreed individually with each client.

Questions we get in the first chat.

Who owns the code, the data and the accounts?

All of it is yours. The code lives in your repository, the cloud and bot accounts are registered to your company, and the database is yours — we only hold operator access. When the work ends, or you decide to stop, there is nothing to ask us for: the system is already in your hands. The results should hold you, not the credentials.

Where does our data go? Our accounting program has salaries and prices in it.

Your data stays in your accounting program. The automation reads only the fields agreed in the data rules — the day's sales total, for example, not salaries. The model provider receives only anonymised fragments needed for the task. Personal data of citizens is minimised and, where the law requires it, kept on servers inside Uzbekistan. The one-page policy states exactly what leaves your network.

We already use an accounting program. Can you work with it?

Yes. If you already use an accounting program or any other specialised software, we can integrate with it, provided that system allows integration. Data is then entered once and lands where it is needed.

What happens after the first project?

Three options. One: you run the automations yourself — that is what the instructions and training are for. Two: we run it for you at an agreed rate — monitoring, fixes and the next workflow when you are ready. Three: you stop. The code and access are yours either way.

Who owns the code and the bots?

You do. Everything is deployed in accounts registered to your company: the Telegram bot, the cloud, the database. At handover you get the repository and every credential. It keeps working without us — by design.

Contact us.

Describe one process that eats your team's time. We'll tell you what to start with — and what the manual work costs you now.