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One of the more prominent trends within Industry 4.0 is the drive to employRobotic Process Automation (RPA), especially as one of the elements of the Leanapproach. The full implementation of RPA is riddled with challenges relatingboth to the reality of everyday business operations, from SMEs to SSCs andbeyond, and the social effects of the changing job market. To successfullyaddress these points there is a need to develop a solution that would adjust tothe existing business operations and at the same time lower the negative socialimpact of the automation process.  To achieve these goals we propose a hybrid, human-centered approach to thedevelopment of software robots. This design and implementation method combinesthe Living Lab approach with empowerment through participatory design tokick-start the co-development and co-maintenance of hybrid software robotswhich, supported by variety of AI methods and tools, including interactive andcollaborative ML in the cloud, transform menial job posts into higher-skilledpositions, allowing former employees to stay on as robot co-designers andmaintainers, i.e. as co-programmers who supervise the machine learningprocesses with the use of tailored high-level RPA Domain Specific Languages(DSLs) to adjust the functioning of the robots and maintain operationalflexibility.

Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots