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.
What it looks like today
Every morning our accountant spends two to three hours pulling yesterday's sales out of 1C, pasting them into Excel and sending a screenshot to the owners' Telegram group. 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
Daily 1C / Excel / Sheets report in your Telegram group at 08:00 — instead of a 2–3-hour manual job (target for the pilot 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.
- 01Step 1
Audit
A 30-minute call plus one visit to your office. We map where the hours actually go — 1C exports, Excel, 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.
- 02Step 2
Pilot in 30 days
We build the 1–2 workflows on your real data, with your accountant and manager in the loop every week. Week four is measurement: minutes saved, reply time, error rate — numbers you can show the owners.
- 03Step 3
Scale on a retainer
Once the pilot pays for itself, we add the next workflow each month, keep the bots monitored and train your team. The retainer is agreed with you; you can stop any month.
What you sign off on
- Automation audit report: process map, hours lost per week, priority list (PDF, UZ/RU)
- 1–2 working automations connected to your 1C, Excel/Sheets and Telegram
- AI usage policy + data rules (1 page, signed off by you)
- Monitoring dashboard: runs, failures, cost per run
- Runbook: what to do when something stops, in plain language
- Measurement sheet: before / after numbers from week four
- Handover session for your accountant and manager (2 hours, recorded)
- A handover pack: scope, cost breakdown and acceptance criteria in one file
What it costs.
By agreement
Exact quote after the free 30-minute audit.
We run what we build.
- Fact 01
Our own operations job at a professional football club — document generation, registrations, foreign-player paperwork — automated on top of the existing platform. Time saved is published only once measured.
- Fact 02
A Telegram-bot pipeline that generates and publishes channel content without a person in the loop — ours, running every day.
- Fact 03
Presidential data, August 2026: 25% of firms using AI-based management cut production costs, 54% saw a sharp rise in demand, and 40% raised wages by more than 10%.
Questions we get on the first call.
Who owns the code, the data and the accounts?
Where does our data go? Our 1C has salaries and prices in it.
We run 1C 8.3 with custom modifications. Can you integrate with it?
What happens after the 30 days?
Who owns the code and the bots?
Start with the free 30-minute audit.
Five questions, one call. You leave with the workflow to automate first and a cost estimate.
+ a written plan you keep · We answer within 15 minutes in working hours.