Process-oriented AI is a term from the fields of Artificial Intelligence, automation, and Industry 4.0. It describes intelligent systems that are specifically used to control, monitor, and improve complete workflows – i.e. processes.
Unlike traditional AI, which often only solves individual tasks, process-oriented AI looks at entire company workflows. It analyses how work steps follow one another, where there are delays or errors, and automatically suggests improvements. The goal: to increase efficiency, reduce costs, and make processes more reliable.
A vivid example: In a car factory, process-oriented AI takes control of the entire manufacturing process. It monitors how quickly individual parts are assembled by robots, identifies bottlenecks, and can even make real-time suggestions on how to optimise workflow. This leads to smoother production, fewer errors, and even better planning of machine maintenance.
Process-oriented AI is a crucial building block for companies aiming to make their processes future-proof and competitive.
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