In Model-Based Systems Engineering (MBSE) projects addressing complex Systems of Systems (SoSs) with humans and automation in the loop, the link between the systems and their models is disrupted when moving to simulations, development, and Integration, Verification, Validation and Qualification (IVVQ). This is an obstacle, during the whole system lifecycle, as it hinders full benefit of all MBSE potential. To address this issue, we explore solutions to continuously link MBSE models with executable platforms, progressively combining model behaviors, digital twins, hybrid simulations, hardware, software, and any other digitalized component, up to deployed operational SoSs. By seamlessly maintaining the consistency between such platforms and their models, we are able to support a consistent MBSE process, where systems design, implementation, integration, and verification, which are the focus of this paper, may become iterative and multidisciplinary. To materialize these solutions, we use SysMLv2 together with Ingescape, making SoSs continuously observable, actionable, measurable, and verifiable through their models. At each iteration in the MBSE process, this approach generates high-quality data and feedback on the systems, their users, models, and requirements, and thus ensures their constant improvement and synchronisation with the systems, while removing barriers between design, implementation, and IVVQ.