Common questions

It is a five-stage process in which an AI or automation solution is assessed, tested on real data, turned into a system that runs every day, and handed over to your team. The stages: assessment, priorities, pilot, system, handover.

Implementing an automation usually takes 1–3 weeks, depending on scope. The free Oopsify audit takes about 10 minutes. The other stages depend on the size of the process and on how quickly your side makes decisions.

In three ways: the tool is chosen after the process is assessed, not before; the pilot runs on your real data, not on a demo; handover to the team is a separate stage with its own deliverable, not the last day of the project.

Yes. The first stage is a process assessment, not technology, so prior experience with AI is not required. The first solution is usually simple, and its purpose is to show how this works in your environment.

One of two ways: book a 30-minute call, or run the free audit on Oopsify first. Oopsify is my own product: a 10-minute chat with an AI about how your work runs, no signup, and a report with recommendations arrives by email. After the audit we go through it on a short call, and if you want to continue, I build what is needed.

Companies that have a repeating manual process and a person who can make decisions within a week rather than a quarter.

Yes. I am based in Lithuania and work with clients internationally, in Lithuanian and English.

One decision-maker and one or two people who run the process every day. If you have an IT person or provider, they join in the system stage.

It depends on the stage and on your situation. We agree it on the first call.

The system, code, access and documentation stay with you. After handover I provide support and make sure everything runs smoothly; the documentation is written so your team understands how the system works. A periodic review can be agreed if you want one, but the system does not depend on it.

Yes. The system is built in your environment, so your IT provider sees what runs where and can take over maintenance.

Most automations cost from a few hundred to a few thousand euros, depending on the complexity of the project. You get a clear quote before any work starts, after the assessment. The Oopsify audit is free.

You receive a specific quote before any work starts, once the scope is known. The price depends on the size of the process, the number of integrations, and how many stages I carry out.

Payment terms are set in the agreement before work starts.

The system runs in your environment and your accounts, so the data stays where it is now. AI model vendors and the data processing region are agreed in the priorities stage and written into the solution brief.

Confidentiality terms are agreed before the assessment starts.

The model and vendor are chosen for the task, the sensitivity of the data, and the cost, not out of habit. You can choose, and the choice is recorded in the solution brief.

Solutions are designed so that data stays in your environment and AI use is documented. Article 4 of the EU AI Act, in force since 2 February 2025, requires organisations using AI systems to ensure sufficient AI literacy among their staff; the training service addresses that requirement too.

Ownership terms are written into the agreement.

Both, but differently. Managers: how to evaluate an AI idea and make a decision. Staff: how to use and maintain a specific system or tools in their own work.

Duration and group size depend on the format.

Use the system or tools in their work, recognise where AI goes wrong, and evaluate the next automation idea: what to check, on which data, when to say no.

Article 4 of the EU AI Act, in force since 2 February 2025, obliges providers and deployers of AI systems to ensure sufficient AI literacy among their staff. Training can be structured to meet that obligation and ends with an attendance list and programme you can keep as evidence.

No. I work alone: you talk to me, you work with me, and I answer for the result.

A limited number, because I take part in every project myself.

First, because of how the work runs: a pilot on your data before a system is built, and a decision to stop if the pilot does not prove the benefit. Second, because of the work you can see: my product Oopsify runs in public, and you can try it yourself in 10 minutes.