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Insights
Guides for owners and operations leads of 10–250-person companies in Lithuania and across Europe: how AI takes over approvals, documents, quotes and email inside the systems you already run, what it costs, and where a person stays in charge. Every article cites its sources and states its assumptions.
New articles.
- Human in the loop: how to design approval tiers for AIWhich actions an AI agent may take alone, which need a person's sign-off, and how a step earns less oversight from measured error rates.Read the article →
- What is an AI ontology, and why it's the only moat you can ownModels are becoming a commodity. The structured context about how your company works is the part competitors can't buy.Read the article →
Start with the problem you have.
Human oversight and AI agents
Company knowledge and context
- What is an AI ontology?Long-read
Process automation
By sector
- ManufacturingSector
- LogisticsSector
- B2B sales and exportSector
- Professional servicesSector
Written by the people who build the systems.
How we write.
Every figure carries a numbered source with its date. Where a point rests on our own build work, the article says so; where we have not measured something, we do not put a number on it.
We do not publish client names, metrics or quotes unless the client has approved them in writing. Worked examples are labelled as illustrative.
Articles are researched with AI tools, then written, checked and signed by a named person. When a law, price or product we describe changes, we update the article and its date.
Tell us the process. We'll price it.
A free 30-minute call. We tell you straight whether AI pays off on that process and roughly what the build would cost.
- A concrete read on your highest-ROI opportunity
- A ballpark of the investment and the return
- A clear next step, only if it makes sense
Prefer email? [email protected]