AI agent development for business
What is an AI agent? Not a chatbot that merely answers a question, but a digital employee that does the work itself: it understands what the customer wants, makes decisions on its own, acts inside your systems — CRM, Telegram, 1C — and carries the process from start to finish. Tezcode builds AI agents that understand Uzbek for sales, orders, reporting and HR processes — from a single agent to a multi-agent system.
Tashkent and all of Uzbekistan • Official IT Park resident • Free 30-min consultation • Payment: 30% upfront
AI agent, chatbot, automation — what's the difference?
All three get sold as 'automation', but they do different things. In short: plain automation executes by rule; a chatbot answers a question; an AI agent understands the situation, makes a decision and carries the work through itself. Below we unpack each one so you know exactly what you are paying for.
Plain automation: by rule
Works on 'if X then do Y': Excel macros, trigger scripts, simple bots. Fast and cheap, but it doesn't understand anything outside the rules — if the customer phrases it slightly differently, the process stalls.
Chatbot: answers a question
Replies from a pre-written script or an AI model. It improves customer communication, but the work after the answer — placing the order, logging to CRM, checking payment — still lands on a human.
AI agent: does the work itself
It doesn't just reply: it understands context, makes its own decisions and acts inside your systems — writes to CRM, verifies payment, builds a report, sends reminders — and carries the process to completion.
When is a chatbot enough?
If the task is pure Q&A — prices, opening hours, address, service list — an AI chatbot is the cheaper and faster answer. In that case there is no point overpaying for an agent — we say so honestly in the consultation.
When do you need an AI agent?
When an action must follow the answer: take the order, verify payment, log the lead to CRM, send a follow-up, build a report. In other words, when you need a system that 'does', not one that only 'talks'.
They work together
An AI agent contains a chatbot: conversation with the customer is the front door, with decisions and actions behind it. We start many projects with a chatbot and grow it step by step into a full agent — the cost is spread accordingly.
Built with the right technologies
We build AI agents on proven, modern technologies — not a 'magic box' but concretely named tools. We pick the best fit for each task.
OpenAI GPT-4o
The core model for natural-language understanding, conversation and complex tasks.
Claude (Anthropic)
For long context, document analysis and tasks that need reliable, safe answers.
LangChain / LangGraph
Multi-step agent logic: tool calling, decision trees and orchestrating several agents.
RAG (Retrieval-Augmented Generation)
The agent answers from your knowledge base — documents, prices, FAQ — without making things up.
Vector database (pgvector / Pinecone)
Semantic search — the agent quickly finds the right part of large documents.
Integration (Telegram, CRM, 1C, POS)
Telegram Bot API, AmoCRM, Bitrix24, 1C, POS, Google Sheets, Click/Payme — the agent acts inside your system.
5 steps to a working AI agent
The first 30 minutes are free. After that every step comes with a written scenario, an exact price and an exact deadline — no 'we'll see later'.
Audit
We review your processes together: which work eats time, where errors and delays pile up, which task an agent can take over. This is a free 30-minute consultation, no obligations.
Agent design
Which decisions the agent makes itself, when it hands off to a human, what it is not allowed to do — everything is fixed in a written scenario. Price and timeline also become exact at this stage.
Integration
We connect the agent to your working systems: Telegram, AmoCRM, Bitrix24, 1C, POS, Google Sheets, Click/Payme payments and your website. The agent acts inside your real environment.
Testing
We test on real conversations and real data: is the agent deciding correctly, when does it hand off to a human, where does it slip. You test, give feedback — we tune.
24/7 launch + monitoring
The agent starts working around the clock. We monitor the quality of its decisions, fix mistakes and gradually extend the agent with new tasks.
The agents we build
These are scenarios that can be built to order. A pilot starts with one task: record the time spent and errors before implementation, then compare the agent against the same criteria. Time savings and sales growth are not guaranteed in advance.
Sales agent
Starts the conversation the moment a lead arrives: uncovers the need, grades interest (Cold/Warm/Hot), logs the data to CRM itself, sends an offer and, if there's no reply, sends follow-up reminders on its own. The manager only gets a ready, 'hot' customer.
Order agent
Takes the order on Telegram or the website, verifies the Click/Payme payment, logs the order to CRM or 1C itself and keeps the customer updated on status — from intake to delivery without human involvement.
Reporting agent
Every day at a set time it gathers sales, order and cash-desk data from your systems, analyses it and sends the owner a ready daily summary in Telegram. The question 'how much did we sell today?' answers itself.
HR / attendance agent
Tracks employee attendance, records lateness and absences, gives the first reply to internal requests (leave, references, schedules) and prepares the monthly attendance summary itself.
Support agent
Answers precisely from your knowledge base — prices, documents, services — via RAG, closes repetitive questions itself and escalates complex cases to an operator with full context. 24/7, in Uzbek and Russian.
Multi-agent system
Several agents work together as departments: sales, support, reporting.
What the price depends on
We give an exact price in a written proposal after the free consultation — we don't quote numbers into thin air before the audit. The price mainly depends on three things:
Task complexity
A simple Q&A agent, or a multi-step one that makes decisions and runs several processes (orders, payments, reporting) — the scope of work changes accordingly.
Number of integrations
How many external systems it connects to (CRM, 1C, payments, website, POS, inventory) — each integration is developed and tested separately.
Languages and channels
How many languages (uz/ru/en) and channels (Telegram, Instagram, website, WhatsApp) it works across — each channel means its own connection and tests.
Payment starts with a 30% deposit — the rest is paid per project stage. You see each stage's result, then you pay.
Questions & answers
The most common questions about AI agent development.
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Solutions close to AI agents, plus helpful guides.
Start with a free process audit
In 30 minutes we'll pinpoint where AI delivers the biggest impact for your business: sales, customers, reporting or operations.