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Map the opportunity
We identify where AI can save time, improve quality or unlock new capacity.
We turn AI into a working part of your business
We design, integrate and operate AI exactly where it makes sense in your company: for everyone, for a single team, for one role, or for a specific workflow. You do not need a universal AI strategy. You need AI that fits your data, people, systems, risks and goals.
ai.integrate()
What we define before AI starts working
The useful part is not the model alone. It is the connection between the task, data, tools, approvals and measurable result.
Where AI should help
Which data it may use
Who approves the output
How value and cost are measured
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workflow can be enough to start
value
100%
tailored to your real context
AI assistantautomationcontent workflowaudit
AI in practice
AI should not be a side tool. It should become a useful layer of how work gets done.
Sometimes that means a personal assistant for one employee. Sometimes it means a controlled automation server, a content pipeline, a website audit, or a custom agent connected to internal systems. We help identify the highest-value places first, define boundaries, and build only the parts that make business sense.
Where AI fits
AI can support the whole company or only the exact part that needs it.
We do not force one pattern. We map your work and choose the right depth: assistance, semi-automation, full automation, audit, reporting, content production, customer support, internal knowledge or developer workflows.
AI assistant
For people and roles
AI assistants configured around real work, permissions, documents, tools and recurring decisions.
sales preparationsupport answersmanagement summaries
AI assistant AI automation
For processes
Workflows where AI prepares, classifies, drafts, checks or decides within clear rules and approval points.
document processingreportingback-office routines
AI automation AI SEO workflow
For websites and content
AI-supported audits, SEO improvements and editorial workflows that keep quality under human control.
technical auditSEO draftslarge content sets
AI SEO workflow 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.
AI service
AI SEO Optimizer
For catalogues, magazines, game portals, databases, product pages and multilingual websites.
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.
AI service
AI web audit
For websites built with ChatGPT, Claude, Lovable, Bolt, Cursor and similar AI tools.
We refine AI and vibe-coded websites.
If a website was built quickly with AI, we check technical SEO, indexing, structure, performance and basic security. Then we help fix what matters.
AI service
AI SEO Consultant
For understanding why traffic or positions move, whether a change lines up with a core update, and what is happening on the site.
Ask questions, AI finds answers in your data.
We connect an AI agent (Claude, Codex) to your data sources, starting with Search Console. Instead of digging through dashboards, you ask and the agent searches the data and replies.
How we integrate AI
We start from your work, not from a model name.
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.
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Define control
We set data access, permissions, validation, approval points, logs and rollback.
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Build the workflow
We connect assistants, APIs, tools, automations and internal systems into a usable process.
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Measure and improve
We track quality, cost and adoption, then expand only where results justify it.
Knowledge base
Before implementation, know the boundaries.
The detailed guides explain how we think about value, safety, automation, servers, assistants and cost control.
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 introductionMCP: 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.
Read about MCPAI Assistant for Human Work
A personalized AI assistant configured according to the real work of an employee, their context, tools, data, and security policies.
Read the assistant guideAI Automation: Process First, AI Second
How to identify the right workflows, define boundaries, test AI manually, and move gradually toward controlled automation.
Read the automation guideAI Cost Optimization
How to reduce AI cost through workflow design, context limits, output validation, and the right mix of tools and API usage.
Optimize AI costsAI Automation Server
How to run recurring AI workflows in a controlled environment outside personal workstations.
Explore the server setupWho 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.
Read about agent trustTell 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.
