Artificial Intelligence has now entered business discussions in a dynamic way. Some see it as a revolution, others as a threat and others as a trend they must follow immediately. The truth is more practical. AI can help a business save time, reduce repetitive tasks, organise information better, support decisions and improve its day-to-day operations. However, it cannot save a business that does not know where it is losing time, where it is losing money and where it is losing control. Because Artificial Intelligence is not a magic button. It is a tool. And the value of any tool depends on whether it is used to solve a real problem.

The first question is not “which AI should I buy?”

Many businesses start from the wrong point. They ask which tool to choose before answering the most important question:

What problem do we want to solve?

Do we want to reduce administrative time? To organise documents and information? To limit errors? To serve customers more quickly? To have a better picture of our finances? To help the team work more in coordination? If the answer is not clear, then buying an AI tool may become yet another cost without any real result.

AI does not fix chaos. It speeds it up.

If a business has unclear roles, poor information flow, scattered files, delays, repeated mistakes or decisions without proper data, AI will not magically solve the problem. It may simply make the same problem move faster. Technology delivers when it is built on clear processes. When there is a goal, measurement, responsibility and human oversight. That is why, before we talk about AI, we need to talk about organisation.

The regulatory framework changes the level of responsibility

The discussion about AI is no longer only technological or commercial. It is also regulatory. The European Artificial Intelligence Regulation, the well-known EU AI Act , is being implemented gradually in the European Union, with the full development of the framework by August 2027. Already since February 2025 the general provisions have been applied, such as definitions, basic prohibitions and obligations around AI literacy, while from August 2025 rules for general-purpose models and the relevant governance are being applied. At the same time, Greece is moving towards the national implementation of the framework, with a draft law for the implementation of the Regulation and the creation of supervision and governance mechanisms. This does not mean that every small or medium-sized enterprise should be afraid. It does mean, however, that informal and uncontrolled use of AI can no longer be considered a safe practice. A business must gradually know:

  • which AI tools it uses,
  • who uses them,
  • with which data,
  • for what purpose,
  • with what limits,
  • and with what human oversight.

Is AI a management issue, not just IT?

One of the biggest mistakes is to treat AI exclusively as an IT issue. It is not. It is a matter of management, processes, people, data and responsibility. Who approves the use of a tool? What data should never be entered? Who checks the result? When is human intervention required? Who is responsible if something goes wrong? These questions are not technical. They are business questions. And the more AI becomes part of companies’ daily operations, the more important human judgement becomes.

Where can it really help?

Artificial Intelligence can provide practical value in many functions:

  • in organising documents and information,
  • in drafting and improving communication,
  • in classifying requests,
  • in preparing reports,
  • in searching for data,
  • in monitoring outstanding matters,
  • in financial analysis,
  • in better preparation for funding programmes.

However, in every case there must be a strict filter:

What does the business gain in practice?

Does it save time? Reduce cost? Limit errors? Improve the customer experience? Provide better information to management? If the answer is not specific, then the application of AI is not yet mature.

The correct sequence:

The correct sequence is not: buy a tool and then look for where to use it. The correct sequence is: see the problem, clean up the process, choose the tool, train the team and measure the result. This sequence protects the business from unnecessary investments and helps AI become a real lever for improvement.

The conclusion:

AI is not just technology. It is a business decision. Not every business needs to rush anxiously after Artificial Intelligence. However, every business needs to understand where it can help it, where it cannot and under what rules it should use it. The businesses that will win will not necessarily be those that move first. They will be those that move correctly. Because in the end, the aim is not for a business to say that it uses AI. The aim is for it to be able to answer clearly: Where does it help me? What does it save me? What does it improve? What result does it bring? And who is responsible? Elina Karamanou CEO | Co-Founder | Business Consultant at AFS