Service

AI for your business

From AI agents and process automation to data analytics: I design and ship production solutions that actually deliver value, not just demo well.

For 20+ years I have designed enterprise platforms and high-load systems. I know how to take AI to production, not just to a slide.

How I can help

I match the solution to the task — from a focused automation to a full platform.

AI agent development

Autonomous agents that get tasks done: working with files, code, and external systems. Text and voice scenarios — with speech synthesis and recognition.

AI process automation

I cut the routine with LLMs: handling requests, documents, and tickets, routing, and integration with your CRM and systems.

AI data analytics

An LLM over your data: answers questions with numbers and method, builds dashboards, works with OLAP marts and warehouses.

RAG & knowledge bases

Search and answers over your documents and policies: corporate knowledge base, support and onboarding built on your own materials.

LLM integration into your product

I embed AI features into your product: assistants, smart search, content generation, function calling, MCP, integration with your API.

Strategy, audit & turnkey rollout

I estimate ROI, pick the model and architecture, and assess risk. Then a turnkey production rollout: integrations, security, observability, and support.

Examples

See what AI-powered products can look like.

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Rugent

Autonomous agent

An AI agent in Telegram, MAX, and the browser: runs tasks and controls your PC — writes code, searches the web, handles files, speaks and transcribes voice, builds apps. No install.

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AI analyst

Data analytics

An LLM analyst over an OLAP mart (ClickHouse): answers data questions with numbers and method, builds dashboards. Dataset — Russian company registry from FNS open data.

How we work

1

Audit & strategy

We scope the task, estimate ROI, and pick the model and architecture. You get a clear plan.

2

Pilot / MVP

I build a working prototype on your real case to prove value before a big investment.

3

Rollout & support

I take it to production: integrations, security, monitoring, and ongoing support.

Why me

An architect, not a "prompter": systems that hold up under load and stay maintainable.
Platforms with audiences in the millions and deployments across thousands of organizations.
I start from the business problem, not the technology: if you do not need AI, I will say so.

FAQ

How much does AI implementation cost?

It depends on the task and the maturity of your data. I start with a short audit and price the pilot separately from a full rollout, so you can prove value before a big investment. I give you a ballpark for your case in the first call.

How is an AI agent different from a chatbot?

A chatbot answers from a script. An AI agent plans the steps and gets the task done: it calls tools, works with your systems, and drives to a result, not just a reply.

Where do we start with AI?

With an audit: we scope the task, estimate ROI, and pick the model and architecture. Then a pilot on your real case and, if it pays off, a full production rollout.

Which models do you use?

I match the model to the task and environment: Claude, GPT, and for the Russian market GigaChat, YandexGPT, and self-hosted models inside your perimeter.

Ready to talk?

Tell me what you want to automate or analyze — I will propose an approach and an honest estimate.