The AI project cycle consists of three distinct phases, each of which requires its own methodology and approach. The first phase is the definition of the problem, the research and analysis of the data to get tangible information about the problem. The second phase is the development of the solution based on the current state of the problem and the data collected from it. The last phase of the cycle is the implementation and testing of the solution on the market. The last phase is extremely important and requires constant feedback from all stakeholders, taking into account the changing market conditions.