Against a backdrop of increasing rates of digitalization and citizen expectations on the side of performance, transparency, and superior grades of service, the Moroccan public sector must be driven by the necessity to reconsider its management procedures. The interest of the re-search is how the joint potential of artificial intelligence (including Explainable AI (XAI) digital twins and smart logistics) may collaborate with behavioral sciences towards the construction of a more responsive, flexible and people-focused public management. Our research problem it is put as: How may combined application of these high-tech devices and behavioral methods trigger a sustain-able reform of the state personnel handling of Morocco citizens? A quantitative approach was deployed to respond to this research question: it is based on a survey (120 stakeholders, including public decision-makers, AI professionals, civil society representatives, and actors of the private sector) and the use of a multi-regression model to determine the effects of technological readiness, strategic skills, regulatory framework, and organizational adaptability on the success of AI-assisted governance. The findings affirm a powerful explanatory power of the model (R 2 = 78.2%), which affirms that the influence of XAI tools, behavioral economics training, and ethical guidelines on the performance of the public management are equally consequential. Nevertheless, there are certain limitations to this research, including exploratory character of the model, the limited size of the sample, and the difficulties in evaluating the actual behavioral change.