© 2020, Springer Nature Switzerland AG.Intelligent automation systems support business efforts through the collaborative interactions of humans and machines. In the realm, partial or integrative transformations of conventional techniques into digital practices is both applicable. Hereby, automation systems directly determine the task sharing between the manpower and software. Robotic Process Automations (RPAs) are emerging technological applications in order to replicate human effort for accomplishing inter-related sets of activities and tasks by accessing one or multiple unintegrated systems and even making sophisticated decisions. Management success of the utilized automation is crucial in this context. This study mainly investigates RPAs as of intelligent automation. Study presents the definitional and conceptive nuances on the topic initially. Then, an RPA Ecosystem Model is proposed for an augmented automation process. Technical tips for RPA implementation are clarified, and RPA lifecycle is presented. This study is one of the first ones that RPA implementation is presented by an overall approach, in an industrial engineering perspective, for both researchers and implementers serving for the organizations which are recently in the transformation process into RPAs. The study becomes prominent by giving the fundamental information in a nutshell for an extremely novel research area.