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AI chosen for the problem, not the slide deck

We work in three areas that depend on each other. AI is only as good as the data you give it, and it only keeps working if something dependable runs it.

Let’s talk
01

AI that fits

We start with the numbers you want to move and choose the technology after that. Sometimes the answer is an agent connected to your systems, sometimes a demand forecast, and sometimes a rule that takes an afternoon to write.

  • AI agents that act in your systems

    The agent answers the question and then does the job: checks the order, files the claim, updates the record, inside permissions you set.

  • Forecasts and risk scores

    Sales and demand forecasts, spotting unusual orders or payments, grouping customers by how they behave. Known as classical machine learning: cheap to run and easy to explain.

  • Answers from your own documents

    Ask in plain words and get an answer taken from your contracts, procedures and files, with a link to the page it came from. The trade calls this RAG.

  • AI that knows your vocabulary

    We choose, test and adjust the AI to the language of your trade, training it on your own examples where that helps. Smaller versions can run on your own machines.

  • Document processing

    Invoices, contracts, forms and scans turned into data your systems can read, with nobody retyping anything.

  • Evaluation and testing

    A set of real cases that shows whether each new version is better than the last. Without one, you are trusting a demo.

If you are unsure which of these you need, the first conversation will settle it.

02

Automation and digitalisation

The cheapest automation is a step removed altogether. That is why we draw the process first and only then decide what is worth automating.

  • Process mapping

    A clear picture of how the work gets done, with the time, cost and bottlenecks at each step.

  • Office work automation

    Sorting email, copying data between systems, and producing recurring documents and reports.

  • Getting data in order

    Unifying, cleaning and describing your data so the AI has something reliable to work with. A stage that is easy to underrate and expensive to skip.

  • System integrations

    Connecting your ERP, CRM, online shop and email so nobody retypes data by hand.

  • Cloud or your own servers

    Migrating to the cloud, consolidating scattered systems, or deliberately moving back to your own servers.

  • Reporting

    Automatic summaries delivered to the people who act on them.

The first measurable gain frequently comes from putting the data in order, before any AI is involved.

03

Infrastructure for AI

You can use AI without handing your data, or your customers’ data, to a company you know only from its terms of service. We build so that control stays with you.

  • Runs on your own servers or cloud

    Your cloud or your machines, and the choice is yours. We advise what makes sense for your workload and carry out the deployment. Most jobs need no expensive graphics cards.

  • Compliance and data control

    We agree what may leave the company, what never does, and who may see what. Without your decision, nothing goes to an outside supplier.

  • Cost optimisation

    The same AI can cost very different amounts from one supplier to another, and in different settings. We compare, and we handle the move.

  • Internal tools

    Assistants and search tools for employees, working on documents that must not leave the company.

  • Cost and quality monitoring

    A clear view of what the system costs to run and how answer quality changes with every update.

  • Handover and documentation

    We can keep it running, or your team can take it over. If you choose that, we prepare documentation and training to the extent we agree.

Once it is live, the system is yours, and it stays yours after our work together ends.

04Questions

Before you get in touch

What does it cost?

Some simple jobs run at a few dozen złoty a month, roughly a phone contract, plus a one-off fee to build them. A larger project with agents, several systems connected and ongoing support costs far more than that. You get a range after the first conversation, before any work starts.

Will my data end up with third parties?

Only if you knowingly agree to it. By default we design the system so that sensitive data stays inside your own systems, and anything that does leave them is written down and kept to a minimum.

Do I need expensive graphics cards?

For most business work, no. AI good enough to sort documents, pull figures out of them or answer customer questions runs on ordinary computers, or on capacity you rent by the hour.

We’re a small company. Is this worth it for us?

Yes. Decisions are made faster in a smaller company, and processes are easier to map. We start with one process and a budget you set, and if the first version does not earn its keep, you stop there.

How fast can you scale the team for a larger project?

Within days. Project leadership stays with us, and we bring in as many data, machine learning and software engineers as the scope requires. The line-up is agreed at the start, so from day one you know who is responsible for what.

What if it does not work?

We stop at the first working version, and the code and everything we learned stay with you. Before we build anything we agree how the result gets measured, so both sides know what “it worked” means.

How long before it is up and running?

We build a first working version, an MVP, in days, not weeks. How long a full rollout takes depends on how many systems have to be connected and on the state of your data.

We already use AI. How do we cut the bill?

We look at three places where money leaks: what other suppliers charge for exactly the same AI, whether a smaller and cheaper one would handle the easy jobs, and how much text gets sent with every request, because you pay for all of it.

05Example projects

Where companies start with AI

Each of these is a separate project with a clearly defined scope. You start with one process and expand when you decide it pays off.

  • 01

    Customer feedback, read and sorted

    Emails, Google reviews, forms and survey answers in one place, marked positive or negative and grouped by the issue behind them.

    You see what is going wrong before it becomes a trend

  • 02

    Competitor and market monitoring

    Competitor prices, offers, website changes and announcements tracked automatically, with a finished summary delivered to your inbox.

    A weekly report replaces manual checks of competitor websites

  • 03

    A chatbot that works as an agent

    It looks like an ordinary chat window. Behind it sits an agent that can open your systems, check the facts and finish the case, inside the limits you set.

    Cases closed in the chat, with no callback

  • 04

    Agents in e-commerce and in your company

    The agent checks an order, handles a return, answers a product question and writes the result into your CRM. Teams inside the company get the same thing for the systems they use.

    First-line support that also works at night

  • 05

    Resolving simple queries and disputes

    Routine complaints, disputes and repeat questions settled automatically within rules you set, with escalation to a person wherever judgement is needed.

    Your team spends its time on the cases that need it

  • 06

    Company knowledge base (RAG)

    Employees ask a question and get an answer drawn from your procedures, contracts, documentation and project history, with the source attached.

    No more “ask Kate, she knows”

06The first step

A free review of one process

You do not need to know whether AI is the answer. A process that takes too much of your time is enough.

  1. 01

    A 45 minute call online

    We talk to the people who do the work and draw the process out step by step.

  2. 02

    A written summary in 3 days

    You get one page: where the time goes, what the options are, a cost range, and what a first build would cover.

  3. 03

    The decision stays with you

    Order the build, do it yourself from the summary, or do nothing. The summary is yours either way.

Book a free review

Show us the process that costs your team the most time

Describe it in a few sentences. We’ll tell you whether it can be improved, roughly what that would cost, and whether it needs AI at all.

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