Although artificial intelligence (AI) is progressing rapidly, reviewing case studies proves effective in assessing specific, real-world, usable scenarios. Microservices and API architectures, which form the base for several contemporary digital systems, can boost performance, scalability, and reliability. However, using AI within these systems is more complex than it appears. It comes with numerous and sometimes unique challenges related to the industry or domain of utilization and the system and use case that has been employed. Case studies provide detailed insights into actual applications, and the research, engineering, and decision-making communities can gain an appreciation of AI in terms of its opportunities and challenges.