Semi-Automation
Semi-automation is a hybrid approach that combines automated processes with human intervention, where certain tasks are handled by machines or software while others require manual input or oversight. It is commonly used in scenarios where full automation is impractical due to complexity, cost, or the need for human judgment, such as in manufacturing, software testing, or data processing. This methodology aims to enhance efficiency and accuracy by leveraging automation for repetitive or error-prone tasks while retaining human control for decision-making and exceptions.
Developers should learn and use semi-automation when building systems that require a balance between automation and human expertise, such as in quality assurance (e.g., automated test execution with manual result analysis), data entry workflows, or robotic process automation (RPA) for business processes. It is particularly valuable in industries like healthcare, finance, or manufacturing, where regulatory compliance or complex scenarios necessitate human oversight, allowing teams to scale operations without fully replacing human roles.