Young Business Club English
Vasylchenko Artur Volodymyrovych - founder of Zore AI, member of YBC

Vasylchenko Artur Volodymyrovych

Business field:
AI transformation of service companies.
Company:
Zore AI
Business size:
YBC
Marital status:
Married
Looking for in YBC:
I am looking to connect with people who are true masters in their fields—people with deep experience, strong vision, and an understanding of how their industry really works. · I am interested in exploring what can happen when you add the capabilities of artificial intelligence to that kind of expertise. · I believe that combining deep human experience with AI can create incredible possibilities—new products, companies, and solutions that would be difficult to build using technology alone or expertise alone.

‘A mistake is data for the next version’: How Artur Vasylchenko rebuilt his business around AI

Section 1: About me. Dossier.

Company
Zore AI
Business size
YBC
Marital status
Married
Movies
‘Ghost in the Shell’ — the original anime
‘Planet K-PAX’
‘Hackers’ (1995)
Books
‘Principles’ — Ray Dalio
‘The Hard Thing About Hard Things’ — Ben Horowitz
‘Foundation’ — Isaac Asimov
Hobbies
Tennis, Hiking
City
Madrid

3 events that changed my life

Studying at the Information Technology Lyceum.
Starting a business with my friend and partner, Denys.
Meeting my wife.

2 people who influenced my life

My wife.
My parents.

1 decision that changed my life

«Leaving a business where I could no longer be an effective partner and allowing myself to start over.»

Vasylchenko Artur Volodymyrovych

Part of what happens inside Young Business Club stays beyond the website.

Insights from private meetings and member stories are in our Telegram channel.

Join the club

Section 2. About the business. Dossier.

Company name
Zore AI
Business field
AI transformation of service companies.
Years in business
In its current form — 6 years. We started as a freelance team back in 2013.
Status
YBC
Team size
5
Has a partner
Yes
Countries of operation
USA, Ukraine, Poland.

Section 3: Biography.

From freelancing in high school to AI transformation for companies

I’m Artur Vasylchenko, the founder of Zore AI. Today, we focus on AI transformation for service companies.

My entrepreneurial journey began in my final years at a technology lyceum. A friend and I were looking for ways to earn some extra money, and one evening he messaged me: «I found a freelance job. We need to build a website, but the deadline is 24 hours». 

I said: «Let’s do it».

At the lyceum, we learned the basics of HTML and CSS, but that night was when we got our first commercial experience. We started taking on small projects, and eventually, that grew into a real business.

It all happened quite organically. At first, we just wanted to earn money using our skills, and gradually we realized we could build a company around them.

Curiosity, fast learning, and empathy for clients

What key skills helped you launch your business?

At the beginning, curiosity and a certain degree of naivety played a big role. I liked the romantic idea that anyone could become Steve Jobs. To be honest, I still think that, although I now understand that the world is more complicated than Netflix documentaries about great creators make it seem.

In terms of specific skills, the first is the ability to learn quickly and not be afraid of new technologies.

The second is empathy for people. I realized quite quickly that a technical solution matters, but it’s even more important to understand how the client feels and what they really need.

From startup romance to a systematic business

What are the 3 most difficult challenges you overcame in the early years?

1.Understanding how different the romantic image of startups in films and books is from reality.

At first, I thought it was enough to have a great idea, energy, and a desire to change the world. In reality, entrepreneurship involves a lot of uncertainty, routine, difficult decisions, and responsibility. I had to accept this reality and learn to work with it.

2.Understanding the importance of contracts and formalities.

At first, I thought you could build a business mostly on trust and good relationships. Over time, I realized that trust is the foundation, but clear agreements, documented terms, and a legal structure protect both the partnership and the business itself.

3.Building a team and processes that make it possible to consistently deliver high-quality results.

When everything depends on one or two people, it’s not yet a business, but a collection of the founders’ individual efforts. We had to gradually move toward a system in which the team could work effectively without constant hands-on supervision.

From losing planned work to a new chapter for the company

What crises has your business faced, and how did you overcome them?

In my case, a crisis means several moments when we had to start the business over. But each time, the core team stayed together—the people who went through these changes with me and built the next version of the company.

At the beginning of 2022, we had signed major contracts with Ukrainian companies, some for a year ahead. After the full-scale invasion began, everything changed, and we were left without the work and income we had planned for.

But it was at that moment that I saw the incredible power of partnership. Our clients, partners, and colleagues began helping one another. We acted almost like a single organism—looking for solutions together, supporting each other, and helping one another overcome problems. It was very powerful and inspiring.

About a year and a half ago, we saw how rapidly artificial intelligence was developing and realized that we wanted to evolve along with it.

We shifted entirely to developing AI solutions and AI agents and rebuilt the company from scratch. For us, this wasn’t a forced reaction to the market—we saw a chance to create something truly great and decided to seize it.

The main lesson for me is that a crisis sometimes forces you to start over, but it’s in those moments that the strongest partnerships and most important opportunities can emerge.

AI-native transformation instead of a new tool

What decisions proved most effective in growing the company?

The most effective decision for growth was transforming into an AI-native company. For us, this means much more than simply introducing artificial intelligence into individual processes or starting to develop AI products. True transformation required us to completely rethink our team model: whom we hire, how we define roles, how we build our organizational structure, and how people work together.

We had to define the company itself much more clearly—its focus, processes, working principles, and value for clients. If you want to build an AI-native organization, it’s not enough to add a new tool to the old system. You need to rethink the system itself.

This is probably the biggest change we’ve gone through. It’s already producing tangible results in efficiency and laying the groundwork for the next stage of development.

From a development team to a fully fledged organization

What mistake do you now consider your most valuable experience?

My most valuable mistake was spending a long time thinking of us primarily as a development team rather than as a fully fledged business and organization.

There was a certain «cozy, close-knit feel» to it: we knew each other well, worked very closely, and relied heavily on mutual trust. But this approach created serious problems with finances, planning, and performance.

At one point, our team grew to 15 people. I realized particularly keenly that the number of people alone doesn’t make an organization stronger. Without a clear structure, financial discipline, and accountability, scaling may not strengthen the business—it may only magnify its problems.

Over time, I realized that the «special forces of creators» approach and a systematic business aren’t mutually exclusive. On the contrary, combining a strong, autonomous team with clear processes, accountability, and a business focus can create a very strong organization.

The best thing about this kind of system is that the team strengthens itself: people share experience closely, help one another, and continually improve the way they work.

From setting up PSPs to landing first freelance clients

How did you earn your first $100?

Back in 6-7th grade, I had a PSP—a portable PlayStation. It was very popular among my peers back then. I quickly figured out how to install games, update the system, and configure the console, and started helping schoolmates and friends with it.

Stores charged a lot more for these services, while I was right there, getting everything done quickly and charging two to three times less. That was when I first realized that knowledge could be monetized too: you don't have to sell a physical product if you can solve someone's specific problem.

How did you earn your first $1 000?

It was on the Upwork freelance marketplace. Our first long-term client was, I think, from the Philippines. I still remember his technical brief: «Build me this page so it's a mix of Skype, Google Plus, and Trello».

We never really understood the idea behind the startup we were building for him. I think he didn't either.

How did you earn your first $10 000?

Once, we developed a small custom-built ERP system. It was clunky, but worked surprisingly well. The client company used it for quite a while. This project made us realize that we were capable of more than just landing pages and WordPress websites.

How did you earn your first $100 000?

Our first $100 000 didn't come from one magical deal.

We earned it gradually, as we learned to sell not hours of development, but our expertise, accountability, and ability to solve complex problems.

This became possible thanks to Zore AI and the team we built over the years.

How did you earn your first $1 000 000?

To be continued ;)

Section 4: How can I be useful? Experience I can share.

Systematizing a Business with AI in Mind

Your experience: How do you systematize a business?

Today, there is no point in systematizing a business without an AI component. Any system built without taking artificial intelligence into account is almost automatically at risk of falling behind.

The first step is to gather real knowledge about how the company operates and articulate it correctly. Not as described in job descriptions or client presentations, but as the work actually happens: which processes people carry out, which tools they use, where delays, duplication, and information loss occur.

Only then can you understand exactly where AI will create the greatest value. It is not about simply adding ChatGPT to a few processes, but about mapping all operational activity, setting priorities, and systematically reshaping the company around new possibilities.

That is why systematizing a business today means building an operational system for the company that is clear, transparent, and compatible with AI. It must be clear enough for both people and AI systems so they can work together effectively.

AI agents can help gather knowledge, analyze processes, identify weak points, and support teams in implementing changes.

The most important thing is not to treat this as a one-off project. AI transformation must become an ongoing process: the company regularly examines its own operations, finds new opportunities for improvement, and adapts to them. That is how systematization becomes a source of growth.

An AI-native approach as the foundation for growth

Your experience: How do you grow x2 in a year?

The principle that helps us grow today is an AI-native approach. But it is not a magic button that lets you do more without additional resources.

An AI-native model really does change the relationship between the number of processes and the number of people. You do not necessarily have to hire a new employee for every increase in workload if some processes can be delegated to AI agents.

But this requires different people—specialists who can do more than use off-the-shelf tools: they can design these systems, integrate them into the business, and take responsibility for the results.

These specialists cost more, and the transition to an AI-native model itself requires significant investment in development, data, quality control, and process redesign.

In addition, AI agents do not operate completely autonomously: they need to be configured correctly, checked, and continuously improved.

So for us, growth is not a promise to do twice as much with the same number of people. It is about building a stronger operating system where each person has a greater impact and AI takes on some of the repetitive work.

This approach makes it possible to scale more effectively, but it requires a higher-caliber team, mature processes, and a willingness to invest in long-term transformation.

Section 5: Club value

What am I looking for in the club?

I am looking to connect with people who are true masters in their fields—people with deep experience, strong vision, and an understanding of how their industry really works.
I am interested in exploring what can happen when you add the capabilities of artificial intelligence to that kind of expertise.
I believe that combining deep human experience with AI can create incredible possibilities—new products, companies, and solutions that would be difficult to build using technology alone or expertise alone.

What have I received from the club?

Above all, the club has given me new connections and a sense of community. When you are building your own business, it can sometimes feel like you are facing all these challenges alone.
At the club, I met many people who are also building their own companies, making difficult decisions, and sharing similar values. It makes you feel that you are not alone, and that there are people around you with whom you can honestly exchange experiences, support one another, and move forward together.