We turn AI into a working part of your business

We design, integrate and operate AI where it makes sense in your company. Tailored to your data, people and systems.

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AI assistantAI automationAutomation serverAI SEO ConsultantAI SEO OptimizerAI web audit

AI in practice

AI should not be a side tool. It should become a useful layer of how work gets done.

What it can look like

We help identify the highest-value places first, define boundaries, and build only the parts that make business sense.

Where AI fits

Choose where you need AI.

The whole company, one team or a single workflow. We choose the right depth.

Service
what we set up for you
Guide
how it works

Featured services

Start with a concrete AI workflow, then expand only where the value is proven.

These services are practical entry points. They can stand alone or become the first module of a wider AI integration.

For content-heavy websites

AI SEO Optimizer

AI SEO optimization with human approval.

For content-heavy websites, we integrate a workflow where AI prepares better content candidates, editors review them, and publishing remains under control.

How it runs

  1. Page queue
  2. AI draft
  3. Validation
  4. Editor approval
  5. Publishing

For catalogues, magazines, game portals, databases, product pages and multilingual websites.

Open service
Service

AI web audit

We refine AI and vibe-coded websites.

For websites built with ChatGPT, Claude, Lovable, Bolt, Cursor and similar AI tools.

Open service
Service

AI SEO Consultant

Ask questions, AI finds answers in your data.

For understanding why traffic or positions move and what is happening on the site.

Open service
Service

AI assistant

A personal AI assistant built around real work.

For employees and roles: sales preparation, support answers, management summaries.

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Service

AI automation server

Recurring AI workflows in a controlled environment.

For companies that run AI workflows regularly, outside personal workstations.

Open service

Knowledge base

Before implementation, know the boundaries.

The detailed guides explain how we think about value, safety, automation, data access, cost control and trust between agents.

Start here

Before You Start with AI: Value, Risk, and Safe Use

A practical introduction to data access, permissions, AI agents, automation, and safe integration.

Read the introduction
  1. 02
    Security

    AI Application Security: LLM Proposes, Backend Validates

    Threat modeling, RAG permissions, tool classes, guardrails and evals for LLM, RAG and agent systems in production.

  2. 03
    Integration

    MCP: How an AI Agent Accesses Your Data and Tools

    An open standard for connecting an AI agent to your data and tools, and why holding several connectors at once lets it reason over the whole process, not just one step.

  3. 04
    Processes

    AI Automation: Process First, AI Second

    How to identify the right workflows, define boundaries, test AI manually, and move gradually toward controlled automation.

  4. 05
    Costs

    AI Cost Optimization

    How to reduce AI cost through workflow design, context limits, output validation, and the right mix of tools and API usage.

  5. 06
    Visibility

    LLMO: Being Visible in AI Answers

    LLMO, AIO, GEO and AEO in practice. AI optimization does not replace SEO; it is another layer on top of it.

  6. 07
    Agents

    Who Do AI Agents Trust? Trust in the Agent Economy

    How AI agents decide whom to hire, whose data to buy or which service to call, what signals they rely on, and how they verify the result.

How we integrate AI

We start from your work.

The best AI implementation is not the one with the most features. It is the one that knows what data it may use, what it should produce, when a person must approve it, and how success is measured.

  1. 1

    Map the opportunity

    We identify where AI can save time, improve quality or unlock new capacity.

  2. 2

    Define control

    We set data access, permissions, validation, approval points, logs and rollback.

  3. 3

    Build the workflow

    We connect assistants, APIs, tools, automations and internal systems into a usable process.

  4. 4

    Measure and improve

    We track quality, cost and adoption, then expand only where results justify it.

Tell us what your people repeat, check, write, decide or search for every week.

We will help decide whether AI should support one person, one team, one process, or the whole company. Then we design an integration that fits the real situation.
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AI consulting
AI consulting