How are companies really using AI today and where are its limits? Learn how AI is making inroads into everyday practice with dynamic simulations, predictions and digital twins. Find out why Petr Jalůvka and Jan Šlajer, Managing Directors of DYNAMIC FUTURE, do not see AI as a replacement for humans, but as a tool that speeds up decision-making, makes work more efficient and opens up new possibilities. If you know how to use it.

In your field, as in others, the topic of artificial intelligence cannot be avoided. How do you involve it in DYNAMIC FUTURE?

Jan Šlajer: AI in our company is definitely not a tool to which we just give input and blindly take the output. We can’t do that. AI is still fabulating, albeit less than it used to. It is more of a helper for us – we use it, for example, when processing documentation, designing text structure, or when we need to analyze large data and evaluate it. But we always modify the output. It’s simply about collaboration.

Petr Jalůvka: Exactly. For example, when we get a request from a client for methods that we don’t know – like we did with DES and ABM – AI helped us understand what was going on very quickly. DES is “discrete event simulation”, ABM is “agent-based modeling”. This allowed us to react quickly and expertly.

Do you also use AI for programming or other technical tasks?

Jan Šlajer: Yes, but it has limits. For example, with Excel macros, AI helps me with simpler things. As soon as it gets more complex and I can’t describe it accurately, it starts generating nonsense. It often forgets that I’m on a Mac, and returns me Windows code. But if I prepare the assignment well and guide her step by step, I get where I need to go. More efficiently than before.

In your opinion, is AI already reliable enough for data analysis? Does it help you?

Petr Jalůvka: Not fully yet. It can do a lot with simpler data. It knows the structure, calculates sums, creates graphs. But once the data is more complex, unstructured, or has a non-standard format, it gets lost. It often takes longer to explain to her what to do than it does to do it herself.

Jan Šlajer: In addition, the AI sometimes fails to follow its own suggested procedure. It says it’s going to do something in five steps and then in step four it suddenly chooses a completely different path. So it’s not yet a tool for reliable analysis, but it’s definitely a tool for speeding up the processing of documents and proposals.

So you’re still relying on yourself to manage and make decisions.

Jan Šlajer: Absolutely. AI can prepare inputs, summaries, suggestions, but the final decision has to be made by a human. We still have to judge whether what it has proposed has a head and a tail.

Petr Jalůvka: Personally, I have noticed that he is not creative. He is good at analyzing, arguing, answering a question accurately. But we still have to come up with an original solution or design a methodology ourselves.

Still, AI seems to have a firm place with you. So how is it most useful to you?

Jan Šlajer: In speeding up work. For example, when I process an audit, I upload the input data to the AI and it helps me draw conclusions. Or it writes a summary, evaluates the outputs. It’s a huge time saver – we then spend that time on deeper analysis and thinking about what to do next.

Petr Jalůvka: It’s also interesting that AI today can adapt language to the audience. When a manager asks it, it answers differently than when a worker asks it. This has great potential for internal communication in companies – AI can convey the same information to different people in an understandable way.

That AI will change the industry is not up for debate. But hasn’t the need for change been talked about for a long time with somewhat questionable results?

Petr Jalůvka: Now change is really starting to happen. Not like Industry 4.0, where we got the technology but nothing changed. Today, AI is already plugging into machines, learning from manuals, evaluating the state of technology and communicating results to management. That’s a big shift.

Jan Šlajer: We see the future in AI not just “counting” but being able to interpret data so that management can reach meaningful conclusions. We leave the predictions to algorithms, but the evaluation of results, scenarios and recommendations – that’s where AI has a strong place.

Has AI changed the way you think about running a business?

Jan Šlajer: Absolutely. We find that the more the tool can do, the more it depends on us how we use it. It’s not just that AI is replacing humans – it’s more about changing what that human does. We are the ones who decide what we do with the data, the results and the recommendations.

Petr Jalůvka: And it’s still true: you have to have your finger on the red button.