Now we focus on implementation - that is, when AI integration goes from theory to working system. The designs become a tangible system: data pipelines are built, the AI model is born or selected, testing takes place and finally the intelligent component is integrated into the business processes. This is where theory becomes practice, and where a lack of careful planning can most often lead to a project stalling.