In 2026, artificial intelligence in Polish companies has stopped being a buzzword on conference slides and turned into an everyday work tool. From the projects we run at LuKas Holdings one pattern is clear: companies that started rolling out AI in 2024 and 2025 are entering the new year with a lead their competitors will not close in a few months.
Where AI pays back fastest
The strongest results come from processes that are repetitive, well documented, and measurable. Areas where the bottleneck is human time and the cost of a mistake is low.
- First-line customer service: ticket classification and automated answers to repetitive questions
- Sales: lead qualification, meeting summaries, follow-ups generated from notes
- Finance and admin: invoice extraction, matching to purchase orders, anomaly detection
- Marketing: producing ad copy and product description variants across languages
What changed since 2024
Two years ago an AI project usually started with the question "does this even work". Today clients ask about the cost per transaction and time to go-live. That is a healthy signal and it means the technology has entered its mature phase.
The best AI rollouts of 2026 are not the most spectacular ones. They are the most invisible.
Three pitfalls worth avoiding
The first is starting a project by picking a tool instead of a business problem. The second is the lack of a baseline: a situation where nobody measured the process before AI was introduced. The third is forgetting about people. The best language model will not help if the team does not understand when to use it and why to trust it.
Where to start
The best first iteration is usually a single process the team knows by heart, takes a few hours per week, and has a clear quality metric. A four-week rollout that cuts that time in half builds trust in the technology and funds the next steps.