Automation plays a crucial role in securing an organization’s position in the market and maintaining its future competitiveness. Depending on the industry, automation can be defined and categorized in various ways. In general, automation mechanisms can be divided into two types: full automation and partial automation. In full automation, a process is carried out entirely by a machine, whereas in partial automation, a manual task is supported by a machine. In the field of automation, depending on the degree of automation, the use of AI, and process complexity, four automation technologies can be identified or classified: RPA, Cognitive Process Automation (CPA), digital assistants, and autonomous agents. While RPA uses software to operate existing application systems within a company to automatically perform structured tasks, adaptive CPA systems can recognize data patterns, enabling their use in complex and dynamic process structures. Digital assistants or voice assistants are capable of capturing natural human dialogues, processing them, and providing answers to complex questions. Autonomous agents refer to complex software systems that can make independent decisions and initiate further processes.