Business automation takes repetitive work off your team: leads, client replies, moving data, reports. AI handles what rules cannot — free-form messages, voice notes, documents. We work in Tashkent and across Uzbekistan; a process audit takes 48 hours and is free.
Automating a whole business in one project is a bad plan: deadlines drift, and there is nothing to measure the result against. What works is one process at a time, with a metric written down first. That is how we approach business process automation in Tashkent, Samarkand and across Uzbekistan — on top of the CRM, 1C, spreadsheets and messengers you already use. The step-by-step plan is in How to automate your business.
Business automation means handing repetitive work from people to software: whatever an employee does by the same rule dozens of times a week, the system does on its own. A Telegram enquiry becomes a CRM deal, a 1C invoice goes out to the client, a summary lands in the manager’s chat by 9:00. Two tools do this, usually together.
A rule is an “if — then”: if an enquiry comes from the website, create a deal and notify a manager; if an invoice is three days overdue, remind the client. Rules need data already laid out in fields — a form, a spreadsheet row, a CRM status. They are cheap, fast and predictable, and helpless when the input does not fit.
An AI model handles what is not in fields: free text, voice notes, emails, scanned delivery notes. It tells a price question from a complaint, pulls bank details out of a PDF, drafts a reply in Uzbek. It can also be wrong, so checks go around it, and decisions that change a client’s position stay with a person.
So AI business automation is not a separate product but a step in a chain: the model reads the input, rules route it, code does the sums.
Both share one limit: automation repeats a process faster, it does not fix it. As Bill Gates put it in The Road Ahead in 1995, “automation applied to an inefficient operation will magnify the inefficiency”. So redundant steps are cut before the build — see “Don’t Automate, Obliterate”.
It includes any work your people do by a repeating rule: lead intake, client replies, moving data between systems, documents, reports and deadlines. By area:
Our AI automation services cover more than the build. “Turnkey” means a breakdown of the process, a success metric before the start, the build and integrations, go-live, documentation, and handover of code and access; support afterwards is by subscription or in-house.
The processes automated most often repeat many times a week and already run on digital data. Examples of business process automation, with where AI ends and rules begin:
| Process | What the system does | AI or rules | Usual starting point |
|---|---|---|---|
| Lead intake | Pulls leads from all channels into one queue, creates a deal, notifies a manager | Routing and duplicates — rules; free text and voice — AI | The channel with the most leads |
| First reply | Answers on prices, stock, address and terms, day and night | Understanding and answering from approved text — AI; handover — rules | The 10–20 most frequent questions |
| Bookings and reminders | Offers times, confirms, reminds, reschedules | Mostly rules; AI to parse “can I come tomorrow afternoon?” | A reminder the day before |
| Data transfer | Messenger → spreadsheet → CRM → 1C, no manual entry | Rules | Two systems that do not talk to each other |
| Documents and email | Extracts bank details, amounts and dates from PDFs, scans and emails | Reading — AI; checking fields and sums — rules and code | One document type, such as supplier invoices |
| Manager’s report | Combines figures from several sources on schedule | Rules; AI for a short written summary | The report someone builds by hand weekly |
| Deadlines and tasks | Assigns tasks by role, reminds, flags overdue stages | Rules | The stage where deadlines slip most |
| Payments and debts | Sends payment reminders, keeps the debtor list | Rules; sums are done by code, not the model | The debtor list in a spreadsheet or 1C |
Which one goes first is an evening’s arithmetic of hours and cost of error — see What to automate first. Leads, response speed and the funnel are covered separately in sales automation.
Types of business automation differ on two axes: scale (one process, a chain of processes or your own model) and technology (integrations and workflows, bots, AI models, machine learning on your data).
One process. Leads from the website and Telegram reach the CRM with source and priority, and a manager is notified. Two weeks, up to three integrations — the most common first step and our Pipeline package.
A chain of processes. Three or four processes passing data along: lead → deal → invoice in 1C → payment reminder → summary for the manager. Plus your own dashboard and team training; four weeks, the Shop floor package.
Your own model. For when no ready-made model fits: valuation, forecasting, satellite imagery, geo. Our EstIQ is built this way: it prices an apartment in Uzbekistan in 40 seconds from 125,000 properties in open market data, with a median error of about 10% on resale apartments it has not seen. Eight weeks or more, the Custom package.
AI agents, models given tools and the right to choose their next step, are a separate case: see AI agents for business.
Automation systems come in two layers: systems of record where the data lives — CRM, 1C, spreadsheets, point-of-sale and warehouse software — and tools that connect them and do the work: integration platforms, bots, AI models. Most companies already have the first; we add the second on top of it, not instead of it.
| You already have | Typically today | What automation adds |
|---|---|---|
| CRM: amoCRM, Bitrix24, a dealer’s OEM CRM | Deals entered by hand; some leads stuck in managers’ chats | Leads from all channels arrive on their own, tasks are set automatically, overdue items are flagged |
| 1C and accounting software | Invoices, payments and stock reconciled with the CRM by hand | Invoices, payments and stock sync without manual entry |
| Google Sheets, Excel | One sheet is client base, order log and report at once | The sheet feeds the bot and reports; with no CRM, start here |
| Telegram, WhatsApp, Instagram | All client chats; replies when a manager has a minute | Enquiries reach the queue and CRM; the bot answers routine questions, a person gets the rest |
| Telephony | Nobody listens back; outcomes go unrecorded | Call transcripts and a summary in the CRM |
| Point of sale, warehouse | Only the storekeeper knows the stock | Stock and sales feed the bot and the summary, if the software has an export or API |
No CRM, or one nobody uses, is no reason to buy a new one: we break down the process first. More on CRM implementation, n8n automation and business chatbots.
AI business automation is justified when the input is free text, voice or a document and the answer cannot be scripted in advance. When the data sits in fields and the decision fits an “if — then” rule, plain automation is cheaper, faster and more predictable.
AI pays off in:
Rules are enough for:
A third zone is decisions that change a client’s position: a refusal, a discount beyond the price list, a refund, an instalment plan. A person makes those. For legally significant decisions this is also the law: since January 2026, a decision affecting a person’s rights and freedoms may not rest solely on the conclusions of AI (Article 7¹ of the Law on Informatization, added by ZRU-1115). More in our breakdown of the AI law ZRU-1115; the rules, fines and figures, each with its primary source, are collected in our AI in business in Uzbekistan reference.
There is no single best model “for business”: Uzbek voice notes, delivery-note fields and client replies are each won by different models, on quality and on price. How to choose one and what AI costs to run: AI implementation for business.
Any business with a repeating process can be automated: the same action by the same rule at least a few times a week. The industry matters less than it seems — a car dealership and a clinic use different words but the same mechanics: answer at once, see it through, show the manager where things are stuck.
Five industries have their own pages with demos:
In a company of 3–10 people, processes rest on the owner, who answers clients in Telegram, remembers who owes what and totals up sales in a spreadsheet. Automation starts with one bottleneck rather than a CRM — usually client replies and bookings — and a spreadsheet is a perfectly good base. Our Valli bot is one example: it handles client conversations in Telegram and hands anything non-standard to a person; it is currently in a pilot.
It can also be too early: a process that runs less than weekly will not repay the support, one about to change means paying twice, and if a ready-made service does the job in two days, we will say so instead of building it.
With us, one process end to end costs from $1,200 plus $300 a month; a chain of three or four processes, from $6,500 plus $700 a month; your own model on your data, from $18,000 plus $1,200 a month. Package details are in the pricing block below.
Within these ranges, the price depends on:
Prices are per project, not per hour. The monthly fee covers monitoring, repairs when a data source breaks, and changes. You pay for CRM licences, the server and model usage on your keys directly to the providers; we make nothing on them. No discounts: a smaller budget means a narrower scope. You can pay in UZS at the Central Bank rate on the invoice date.
For reference: in September 2026, public price lists in Tashkent and Samarkand put a customer-facing bot at about $1,000 and up to launch plus $400–600 and up a month (how to compare offers).
Part of the cost may come back. On 18 August 2026 the President announced the “Artificial Intelligence — Partner for 10,000 Enterprises” programme, compensating enterprises for 50% of AI implementation costs. As of late September 2026 no payment procedure has been published, so who qualifies and for what is unknown; see 50% of AI costs reimbursed. We will not promise half the cost back before the rules exist.
Three things set us apart: the success metric goes into the contract before the start, and if we miss it, the stage is not paid; the code and data stay with you; and we build on top of your CRM, 1C, spreadsheets and messengers instead of replacing them.
We turn down jobs where success cannot be measured or a ready-made tool does it in two days, and we do not sell “AI implementation” without a named process and metric, or websites and design as a separate service.
We have no client case studies with numbers yet: the company was registered in August 2026. Instead of other people’s logos, here are our own running systems:
Choose by the answers to four questions, not by the website — every website says “turnkey AI”.
The full eight-question checklist, with contractor types, legal checks and personal data, is in Business automation companies: how to choose one.
Start with one process: write it out step by step, count the hours and the cost of error, and fix the metric that will show the automation worked.
The detailed plan is in How to automate your business: a step-by-step plan.
For an outside view, describe your process in the quiz: six questions, and within 48 hours a map of what to take off people first, in what order and at what cost — free, no call needed. Or order business automation straight away on Telegram; we will still start with the audit.
We sell a deadline, not a scope of work. If the deadline cannot be named, the task has not been broken down yet — and the first step is exactly about that.
We break one of your processes down step by step and hand back a map: what can be taken off people, in what order and what it costs. Free, and no intro call.
We build one pipeline and run it live. The "before" metric is fixed in writing before the start, not invented afterwards. If we do not hit it, the stage is not paid for.
The code, the access and the documentation are yours. Everything lives inside your own perimeter. Support by subscription or with your own hands — your call; we do not keep you on a hook.
Prices are per project. For Uzbekistan, payment in UZS at the Central Bank rate on the invoice date is possible.
+ $300 per month. One process end to end: data collection, processing, notifications, reporting. Up to three integrations.
+ $700 per month. Three or four connected processes, your own dashboard, team training, priority support.
+ $1,200 per month. Your own product: your data → your model. Satellite, geo, valuation, forecast. Code handover. Price is for the pilot; production is quoted separately.
The first audit is free. 48 hours, no intro call.
A step-by-step plan for automating business processes one at a time: pick the first process, write down a baseline metric, choose between an off-the-shelf service, configuration and custom development, decide where AI belongs, run a two-week pilot and keep the code and access. With industry examples, prices and a checklist.
The types of business automation companies in Uzbekistan — 1C and CRM partners, chatbot studios, freelancers, developers — and a checklist for owners: what to ask an automation, CRM or chatbot contractor before signing, what belongs in the contract, and which answers tell you to walk away.
A method that takes one evening: break your process into steps, count the hours it eats, and pick the first step to automate — including the cases where the right answer is not to automate at all.
How to automate reports without speeding up your mistakes: keep the 3–5 numbers someone actually acts on, guard against silent limits like the old XLS format, and pick one of four levels — Power Query in Excel, Google Sheets with Apps Script, a scheduled summary in Telegram, or BI. Where AI belongs in reporting, a five-line summary template and a checklist.
Six questions about how things are set up at your place today. The output is a diagram: what can be taken off people, in what order and what it costs.
