Support and managers answer the same questions manually while the request queue keeps growing.
AI assistant development
for business
We build AI assistants for customers and staff: they answer from your documents and internal policies, show the source behind every answer, work in Russian and Uzbek, and hand complex questions over to a person. We start with a pilot so the effect is measurable before scaling.
What the work includes
Assistants and bots
Assistants for customers and staff that answer in Telegram and on your website.
Knowledge base
Answers grounded in your documents and policies, with a link to the source.
Integrations
We connect the solution to CRM and accounting systems with no manual data transfer.
Support
We monitor answer quality and update the knowledge base under contract.
Companies we have worked with 
Everyday Goods 
OQQI 
Proseller
Everyday Goods OQQI Proseller Who builds this
Axium is an IT company based in Tashkent that builds AI assistants for business: answers grounded in a company's internal documents and policies, help for customer support managers, and connections to CRM, ERP and other accounting systems. The solutions work in Russian and Uzbek.
The company is listed in the IT Park Uzbekistan resident registry.
What AI integration is
AI integration means embedding AI models into a company's processes: an assistant answers customers and employees based on your policies and knowledge base, and automation takes over routine work with requests and documents. A working solution is more than "plugging in ChatGPT": data quality, integration with CRM and accounting systems, and post-launch support matter just as much.
When an AI solution pays off
Four signs that a task is a good fit for AI integration.
Company knowledge is scattered across documents, chats and people's heads: finding an answer takes hours.
Routine processing of requests, emails and documents eats team time that costs more than automation.
Leadership wants to use AI but it is unclear which task to start with and how to measure the effect.
Typical AI scenarios in a company
Four scenarios where working with AI in a company usually starts.
01
AI assistant for customers
Answers in the website chat and in Telegram in Russian and Uzbek, qualifies requests, hands complex questions to an operator and logs the history in CRM.
02
Knowledge base assistant for employees
Answers questions from your documents, policies and manuals, shows a link to the source of each answer and says so plainly when the documents do not contain the answer.
03
Request and document automation
Recognition, classification and routing of requests, emails and documents: routine triage moves from people to the system.
04
AI inside CRM and accounting systems
Draft replies, summaries of correspondence and calls, next-step suggestions right in the tools your team already uses.
See scenarios broken down by industry and task on the AI use cases.
What the work includes
The engineering side of the work we take responsibility for: from data analysis to support.
Task and data analysis
We pick a scenario with a measurable effect and check whether the data is sufficient to deliver it.
Model and architecture selection
Cloud LLMs or deployment inside your perimeter: we choose the option that fits your security requirements and budget.
Knowledge base preparation
We structure documents and data for RAG so the assistant answers from your sources.
Integration with systems
We connect the solution to CRM, your accounting system, website and messengers so nobody has to move data by hand.
Pilot and testing
We verify answer quality on real questions and data before the production launch.
Support and growth
We monitor quality, update the knowledge base and improve scenarios under contract.
Data security when working with AI
AI solutions work with a company's production data, so protection is part of the project by default.
NDA and contract
Confidentiality is secured legally before any data or access is handed over.
Access control
The model and integrations receive only the data needed for the task. Access is split by roles.
Your perimeter or the cloud
We deploy in the cloud or on the company's own servers: the choice depends on your data requirements.
Support under SLA
Incident response time and the maintenance procedure are fixed in the contract.
How we work
A transparent process from task analysis to launch and support.
Step 01
Task analysis
We study the process, the data and the goals, and pick a scenario where AI delivers a measurable result.
Step 02
Design
We select the model and architecture, and agree on the scenario, quality metrics and pilot plan.
Step 03
Pilot
We run the solution on real data, verify answer quality and collect feedback.
Step 04
Integration and launch
We embed the solution into your CRM, accounting system and working tools, train your staff and put it into operation.
Step 05
Support and growth
We monitor quality, update the knowledge base and improve scenarios based on metrics.
Cost depends on the scenario and the data
We name the exact cost and timeline after analysing the task. They depend on the scenario, the chosen model, data volume and quality, the number of integrations and deployment requirements. A pilot lets you verify the effect before investing in the full solution.
Frequently asked questions
How long does it take to develop an AI solution?
A pilot usually takes from 2 weeks; a full launch depends on the number of integrations and data volume. After analysing the task we give you a concrete plan and dates.
Can you integrate AI with 1C, a CRM or a website?
Yes. We connect AI solutions to 1C, Bitrix24, amoCRM, websites and messengers via APIs, webhooks and ready-made connectors.
Can AI run in the cloud or on our own servers?
Both. We deploy solutions in the cloud or on-premise, inside the company's perimeter: the choice depends on your data and infrastructure requirements.
How is data security ensured?
We sign an NDA, split access by roles and pass the model only the data needed for the task. On request we deploy the solution inside your own perimeter.
How do we control the cost of an AI solution?
The architecture is transparent: you can see which requests cost what. We set usage limits and reporting, and scale only what delivers results.
Which tasks are most often automated with AI?
Answering customer and employee requests, knowledge base search, triaging requests and documents, drafting replies and summarising correspondence.
What do you need from us to start?
A short description of the task, access to sample data and a contact person on the business side. We then propose a pilot scenario and a work plan.
What happens after launch?
We maintain the solution under contract: monitor answer quality, update the knowledge base and models, and improve scenarios based on your metrics.
Who develops AI assistants for business in Tashkent?
In Tashkent, AI assistants are built both by specialised AI services and by full-cycle IT companies. When choosing a contractor, look beyond the chatbot itself: check their experience with corporate documents and knowledge bases, answers with links to sources, CRM and ERP integrations, role-based access control, and answer-quality testing. Axium designs such solutions around a company's processes and starts with a pilot on real data.
Can the assistant answer in Uzbek?
Yes. The assistant works in Russian and Uzbek: it understands the question and replies in the language it was asked, grounded in your documents.
How do you verify the assistant answers correctly?
Before launch we build a set of control questions with reference answers and test: factual correctness, alignment with the source, correctness of the link, the ability to decline when the data is missing, and handover to a human. Results are recorded before and after each round of fixes.
When do you not need an AI assistant?
If the knowledge base is not maintained or the documents contradict each other, put them in order first: an assistant will not correct bad data, it will only surface it faster. If the volume of questions is small and repetitive, plain search or canned answers are cheaper.
Tell us about your task
Describe the process you want to strengthen with AI. We will propose a scenario, an approach and an estimate.
Working hours: Mon-Fri 09:00-19:00 · Email: hello@axium.uz
What happens after your request
- Intro call: We clarify business goals and context. If needed, we sign an NDA immediately.
- Requirements analysis: We study your processes, identify technical risks, and map integration points with accounting systems, CRM, and ERP.
- Plan and estimate: We prepare a transparent proposal (SOW) with stages, timeline, and a fixed budget framework.
Related services
An AI project rarely stands alone: it usually goes hand in hand with systems integration and custom development.