The era of simple button chat bots has passed. Modern language models (LLMs) are capable of understanding human speech in context, handling objections, analyzing multi-page contracts, and instantly answering customer questions 24/7. AI implementation in business is not a trend, but a way to reduce operational costs for support and sales by up to 70% while simultaneously increasing service speed.
We help companies seamlessly integrate artificial intelligence technologies into existing business processes. We develop smart AI assistants, train models on your internal regulations and databases (RAG methodology), create AI agents for generating expert content, and integrate neural networks directly with your CRM and ERP systems via API.
First-line customer support cost reduction after AI bot implementation
Accelerating document and contract processing and content creation workflows for employees
Answer accuracy through the use of vector knowledge bases (RAG) and prompt engineering
Autonomous operation of AI assistants without vacations, sick leaves, or human factors
The main fear of AI implementation is its unpredictability. We solve this problem by establishing strict system frameworks (System Prompts) and validators. The bot will answer clients based strictly on the facts provided by you, politely pivoting away from off-topic subjects.
We do not simply resell access to the OpenAI API; we build full-fledged solutions tailored to your infrastructure.
So that the AI assistant knows your products, delivery terms, and prices, we do not retrain the model. We digitize your regulations, PDF files, price lists, and load them into a vector database (ChromaDB/Pinecone).
Upon user request, the system instantly finds the relevant text snippet and passes it to the model as context for the response. This eliminates AI hallucinations and inventions.
An AI bot should not just "talk". We train it to execute functions (Function Calling): check order status in 1C, book visit times, create deal cards in amoCRM/Bitrix24, or send payment links.
Your bot will become a full-fledged digital sales manager with instant response to any incoming leads.
Queries to powerful LLM models cost money. If designed incorrectly, API bills can be huge. We set up hybrid schemes: we use cheap fast models for simple questions and heavy ones for complex tasks.
We cache frequent responses and optimize prompt size, which reduces API costs by 3–5 times compared to standard integrations.
Sequential path from business process analysis to launching ready-made AI agents on the server.
We analyze your business processes. We find routine operations of employees and support services that can be automated with AI. We form a concept.
We collect your text regulations, instructions, FAQ. We split texts into semantic chunks (chunking), generate vector embeddings, and upload them to the database.
We develop system instructions for AI models. We define the role, tone of voice (Tone of Voice), answer formatting rules, and security limitations.
We build the AI assistant backend using Python / Node.js. We set up connections with communication channels (Telegram, WhatsApp, website chat) and integrate with internal systems (CRM, databases).
We conduct automated and manual testing of responses. We evaluate hallucination levels, adjust prompts and knowledge base structure to achieve maximum accuracy.
We deploy the AI solution on the server. We train your staff to work with AI, writing simple guidelines for prompt formulation for daily tasks.
We use modern open-source and commercial platforms to develop intelligent systems.
Main neural network cores. We select the model for the task: GPT-4o for complex logical reasoning, Claude-3.5-Sonnet for texts, local Llama-3 for complete data confidentiality on your server.
Frameworks and platforms for building complex scenarios. They connect neural networks with external APIs, databases, email, and messengers within automated multi-step processes.
Specialized vector databases. Used for fast semantic search of relevant information from terabytes of corporate documents prior to generating an AI response.
Cost depends on data architecture complexity, number of integrations, and models used.
| Solution Capabilities | AI Assistant Intelligent Bot for Single Communication Channel 85 000 ₽ Timeline: from 7 days Order | Popular AI Integration End-to-end consultant bot with knowledge base and CRM 160 000 ₽ Timeframe: from 14 days Order | Custom AI Agent Turnkey AI Infrastructure Development from 280 000 ₽ Timeframe: from 30 days Discuss |
|---|---|---|---|
| Integration channels (Telegram, Website, WhatsApp) | 1 messenger or chat on the site | up to 3 channels simultaneously | All channels + internal ERP/1C |
| RAG Knowledge base (instructions, price lists) | Basic (up to 100 pages) | Extended (up to 500 pages) | Complex dynamic database (from DB) |
| Integration with CRM (amoCRM / Bitrix24) | Creating deals | Complex stage change logic | |
| Types of models used | GPT-4o-mini / Claude Haiku | GPT-4o / Claude Sonnet | Custom Fine-Tuning of models |
| Document and Invoice Recognition | OCR recognition and import | ||
| Employee training and support | PDF Manuals | PDF + 1 educational webinar | Full onboarding + 1 month of support |
| Technical Guarantee of Stability | 14 days | 30 days | 90 days |
Here are answers to frequently asked questions. Remember: AI does not replace humans; it frees them from routine to solve truly important tasks.
Submit a request and describe the routine tasks of your managers or support service. We will conduct a business process audit, find scenarios for AI implementation, and develop a turnkey intelligent assistant.
Order AI implementation