Automation and computerization of (bio)sensing systems are essential for improving efficiency, accuracy, and reliability in analytical processes. This perspective discusses various types of sensing systems with elements of automation, including flow injection analysis (FIA), sequential injection analysis (SIA), microfluidics, and robotics. These systems enable precise sample handling, reduce human error, and enhance throughput, making them suitable for applications such as clinical diagnostics, environmental monitoring, and pharmaceutical analysis. Automated FIA and SIA systems offer high precision and efficiency in sample processing, while microfluidic devices provide compact, portable solutions for rapid analysis. Robotic platforms excel in handling complex tasks like sample preparation and analysis, reducing the need for manual intervention. Computer technology plays a crucial role in modern sensing systems, enabling data acquisition, signal processing, real-time analysis, and data storage. Machine learning and artificial intelligence further enhance the capabilities of these systems by improving data interpretation and decision-making. The integration of automation and computerization in sensing systems has led to the development of innovative prototypes, such as automated biosensors, microfluidic devices, and robotic platforms, which address real-world challenges in various fields. These advancements have significantly improved the efficiency, accuracy, and reliability of analytical processes, making them more accessible and cost-effective.Automation and computerization of (bio)sensing systems are essential for improving efficiency, accuracy, and reliability in analytical processes. This perspective discusses various types of sensing systems with elements of automation, including flow injection analysis (FIA), sequential injection analysis (SIA), microfluidics, and robotics. These systems enable precise sample handling, reduce human error, and enhance throughput, making them suitable for applications such as clinical diagnostics, environmental monitoring, and pharmaceutical analysis. Automated FIA and SIA systems offer high precision and efficiency in sample processing, while microfluidic devices provide compact, portable solutions for rapid analysis. Robotic platforms excel in handling complex tasks like sample preparation and analysis, reducing the need for manual intervention. Computer technology plays a crucial role in modern sensing systems, enabling data acquisition, signal processing, real-time analysis, and data storage. Machine learning and artificial intelligence further enhance the capabilities of these systems by improving data interpretation and decision-making. The integration of automation and computerization in sensing systems has led to the development of innovative prototypes, such as automated biosensors, microfluidic devices, and robotic platforms, which address real-world challenges in various fields. These advancements have significantly improved the efficiency, accuracy, and reliability of analytical processes, making them more accessible and cost-effective.