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Business optimisation with artificial intelligence

AI pays off not where it is talked about loudest, but where your people do the same thing by hand every day. We start with a process audit — counting how many hours a month each routine eats — and automate what returns money fastest. The first process, turnkey, costs from €600 and is ready in 2–3 weeks.

free process auditfrom €600first result in 2–3 weeksyour data stays yours

We do not sell "AI adoption". We remove routine

"Adopt artificial intelligence" is not a task. The real task sounds different: a manager spends two hours a day sorting email; accounting types in a hundred invoices a month; a report for the director takes half a day; half of all customer messages are the same five questions.

Each of these routines is measured in hours and money. So the conversation starts not with a model or a technology, but with simple arithmetic: what this routine costs today, and what it costs to remove it.

Step one: the process audit

We look at how the company actually works: where requests come from, who moves what by hand, where the same data lives in two places, which documents are produced from a template. After a few meetings and access to examples you get a routine map — a list of processes with an "hours per month" figure next to each.

Then comes simple arithmetic: hours × the cost of an hour of your specialist's time = what this routine costs per year. We automate what sits at the top of the list. The audit is free — and if it turns out AI is not needed here, we will say so: sometimes it is cheaper to fix a process on the website or add a Telegram bot.

What we automate most often

/01Incoming requests and email

AI reads mail and forms, extracts the essentials, fills the CRM and sorts by priority and language. The manager sees a ready record instead of a pile of letters.

/02Documents and invoices

Invoices, delivery notes, contracts, specifications: the model extracts line items, totals and details into a spreadsheet or accounting system. Human review stays — but it takes minutes instead of hours.

/03Customer support

An assistant trained on your prices and policies answers 24/7 on the site and in messengers, and hands complex cases to a person. More in AI integrations.

/04Catalogue and content

Catalogue population, product descriptions, categories and filters, supplier price imports. If that is your main pain — see the website with an AI agent.

/05Reports and analytics

The weekly report builds itself: sales, requests, advertising, stock — with a plain-language explanation of what changed and why.

/06Price and competitor monitoring

Tracking competitors' prices and suppliers' lists, with alerts on deviations — so you learn about a market change from data, not from a customer.

What it costs and when it pays off

Stage	Timeline	Price
Process audit and routine map with hour estimates	3–5 days	free
First process turnkey (for example request handling or customer support)	2–3 weeks	from €600
Complex integration: several data sources, RAG, accounting system or CRM	3–5 weeks	from €1200
Support, scenario refinement, model API	monthly	from €50/month

A simple payback check: if a process eats 20 hours a month, a €600 solution pays for itself in roughly a quarter — everything after that is time gained. We do that estimate before the start, not after.

For comparison: agencies in Germany charge from €5000 for similar solutions, and €20,000–50,000 for larger projects. We work with EU clients at Ukrainian rates and with the same stack.

Data security and EU requirements

API keys and knowledge bases are stored on the client's side, and the accesses are handed to the owner.
Personal data is masked before it reaches the model — no surnames, phone numbers or addresses go to an external service.
Every action is logged in your database: what the AI did, on what data and when.
On request — EU-hosted models and GDPR-compliant processing.
Where the cost of a mistake is high, the last word stays with a human: AI prepares, a person confirms.

Honestly about the limits

AI does not replace a manager and does not invent your strategy. It is good at the boring part: reading, extracting, matching, filling in, reminding. It is bad where responsibility for a decision is needed, or context that is not in the data.

According to the Mastercard SME Index, roughly one in five entrepreneurs in Ukraine has already adopted AI. The winner is not the one who "has AI", but the one who removed a specific routine with it and measured the effect.

Questions and answers

Where do we start if nothing is automated yet?

With a process audit: we map where the team's time goes and count the hours. Then we automate one process — the most expensive one in hours. The audit is free.

How much does AI adoption cost?

The first process turnkey — from €600, more complex scenarios with data and RAG — from €1200, support — from €50/month.

Will this make people redundant?

In our projects AI takes away routine, not jobs: a manager stops copying data between spreadsheets and starts talking to customers. The effect shows in how many requests the same team handles.

Is it safe to give AI internal documents?

Keys and data stay on your side, personal data is masked, actions are logged. On request — EU-hosted models and GDPR-compliant processing.

How fast will we see results?

The first working process goes live 2–3 weeks after the audit. The payback estimate comes before the start.

What if we do not know what to automate?

That is normal — it is what the audit is for. The biggest effect usually comes from boring things: sorting incoming mail, moving data between systems, standard documents and reports.

We will price your routine for free

Tell us where your team's time goes — we will return a process map with hour estimates and an honest answer on where AI pays off and where it does not.

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