Before you deploy AI, someone has to tell youwhat not to deploy.

Most often those around data entry, report generation and customer service, plus any repetitive activities that eat up employees' time.

Four ways. The process is rare, meaning it runs a dozen times a month and the automation has nothing to pay itself back from. The process is unstable, meaning it looks different every time and cannot be described by a rule or by a set of examples. The data it would run on is scattered across inboxes and spreadsheets, so it has to be put in order first, which is separate work and a separate cost. Or the process is simply broken, and automating it gives you a faster broken process. Each of those four goes into the report by name.

A demo that answers somehow can be put together over a weekend. The difference comes down to three things a demo does not have: a knowledge base built on your own data, a human approving decisions at the points where risk sits, and logs and monitoring that show what the system answered and why. The audit checks whether those three can be stood up at your company before anyone starts building.

No. The audit is analysis first. When it's done you get recommendations that may include simple organisational changes as well as AI proposals where it genuinely pays off.

Yes. We run the audit with GDPR in mind - we analyse what data is processed, where it's stored and how it can be secured, and we build compliance into every recommendation.

The audit has a fixed price, set by the number of processes and the depth of analysis. After an initial call we give you a concrete quote - no surprises at the end.

It is the fairest question anyone asks about this service. That is why the audit is paid for separately and ends with a document that stays with you whatever you decide next. If the numbers say no process returns the cost of an implementation, that is the audit result, and we write it down as such.

With a process that hurts, not with a tool that was in the news. In EY’s 2026 study, 49 percent of Polish companies called their AI implementation disappointing and 17 percent would not repeat the decision. The usual cause is not technical: the company buys a tool before deciding what problem it should solve and how anyone would know it had.

Subscription tools generally run 200-2,000 PLN a month, while custom implementations on the Polish market start at 8,000-30,000 PLN of setup alone, with maintenance billed on top. With us, the build, the care and the fixes sit inside one figure from 3,875 PLN a month, with no setup fee. You can price your own scope in the calculator on this site.