The integration of IoT with Business Processes has led to the emergence of the term IoT-Enhanced BPs. To increase efficiency, reduce costs, and respond to changes at a rapid pace the area of IoT-Enhanced BPs are paying special attention to the concept of Digital Twin powered by Artificial Intelligence. As in any other software systen, the first stage when developing a Digital Twin for an IoT-Enhanced BP is to collect and specify the requirements that must support. However, these requirements present a high heterogeneous nature since different aspects such as task workflows definition, IoT devices specification, and IA algorithm configuration must be integrated. This makes developing a DT a complex activity that requires from multidisciplinary teams with diverse skill sets. This thesis advocate a Model-Drien Engineering solution that allows us (1) to capture the requirements of IA-enabled DTs for IoT-Enhanced BPs and (2) to translate them into a fully operative prototype of the required DT.