AI agents & support bots
At 09:00 there are forty unanswered messages, and half of those people have already bought elsewhere. Now the agent answers at 23:40 too, in Uzbek and Russian.
Who it is for
- Retail chains and Uzum sellers drowning in the same 20 questions about price, size and delivery
- Private clinics and dental practices that lose bookings after 18:00
- Real-estate agencies where every enquiry needs qualifying before a broker calls
- Schools, courses and academies answering parents in two languages
- Any business whose Instagram Direct is answered by whoever happens to be free
Problem
Our operator answers Telegram and Instagram from 09:00 to 18:00.
Your Telegram
✓ 23:40 · arrived
A customer got an answer in Uzbek. The office was closed.
What it looks like today
Customers write at 21:00, at 23:00, on Sunday. In the morning there are 40 unanswered chats, and half of those people have already bought from someone else.
Customers do not write to a template. Everyone writes in free text — in Uzbek, in Russian, in a mix, with typos — and expects an answer to their own question. When nobody reads the message in time, the customer leaves. We need something that actually reads every message and answers it.
What changes in your business
Answers in correct Uzbek Latin, Russian and English — in the language the customer wrote in, including mixed and misspelled messages
Target: first reply in under 2 minutes, 24/7, on Telegram, WhatsApp and Instagram Direct from one knowledge base
Bookings, order status and price questions handled end-to-end; the agent writes into your CRM, a spreadsheet or your accounting program
Qualified leads passed to a human with a summary: who, what, budget, urgency — not a raw chat log
Escalation rules you set: refunds, complaints and anything the agent is unsure about reach a person within one message
Weekly monitoring report: conversations, resolution rate, unanswered topics to add to the knowledge base
Three steps, in this order.
Step 1
Dialogue review
We read your last 200 conversations, list the 20 questions that make up most of the volume, and collect the documents the agent will learn from: price lists, schedules, delivery rules. You approve the tone of voice in all three languages.Step 2
First project
The agent goes live on one channel with a small group of customers: first with a human approving every reply, then on its own. We measure reply time, resolution rate and where it escalates.Step 3
Run and improve
Every unanswered question becomes a knowledge-base entry within the week. We add channels, bookings, payments. Hosting, model and monitoring costs are agreed with you up front.
What you sign off on
- A process map and a module breakdown: what gets built, and in what order
- The AI assistant itself, answering your customers in the channels you choose
- 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.
Will it write real Uzbek, not a calque from Russian?
Customers send phone numbers and medical questions. Where is that stored?
What if the agent says something wrong?
We already use an accounting program. Can you work with it?
Who owns the bot and the knowledge base?
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.