Simulation-driven product development plays a crucial role in improving design performance, but most organizations still operate in silos with error-prone manual processes. The siloed approach to product development is the cause of costly inefficiencies, delays, and inconsistent decision-making. Moving to a fully codified engineering design process with end-to-end automation can significantly increase simulation throughput and reduce the non-value-added work activities. In this context, putting in place an hyperautomation business-driven approach in engineering simulation may require an SPDM framework empowered with Business Process Management (BPM) and state-of-the art design optimization technologies. As a result, organizations can both connect human tasks into a single actionable business process and integrate automated simulation workflows together with AI-driven design space exploration strategies. In addition, the business process automation workflow guarantees data interoperability with other systems, making it a step closer to the digital thread. It automatically pulls data and models from Requirement Management, PLM or SPDM system itself and delivers them to the right task and user involved in the design process. This hyperautomation approach takes simulation process automation to the next level, bringing the management of human and machine-operated tasks on top of the existing automated CAD/CAE workflows. The paper illustrates the feasibility of the proposed approach in the context of Multidisciplinary Design Optimization (MDO) of a drone with the aim of meeting system level requirements. The activities performed by various subject matter experts are mapped out, sequenced and automated into a Business Process Model and Notation (BPMN) workflow which is embedded in an SPDM environment. Beside the management of human tasks and links to SysML/CAD/CAE data, the modeling toolbox also includes service tasks which automatically invoke the execution of MDO studies. The business process injects these SysML/CAD/CAE into the SPDM-integrated multidisciplinary workflow which acts as an enabler to automatically run design space exploration strategies. In conclusion, the existing informal practices to validate the system requirements of a drone becomes a codified hyperautomated business process which can be further reused. This is a more organized way to have all actors together to accomplish the design goal. Project manager, system engineer, CAD designer, CAE engineer and method developer automatically receive the assigned user task within a kanban board and simulation service tasks run exactly when needed with the correct and updated input data.