<p>Companies in the financial sector are increasingly confronted with the challenge of managing several transformations simultaneously. In addition to digital transformation, regulatory requirements, sustainability goals, and user-centered expectations shape the design space for robo-advisory systems. Against this background, this study addresses the question of how such systems can be designed to respond to multiple transformation drivers while providing practical and future-oriented solutions. The research follows a&#xa0;design science research approach. A&#xa0;literature review served as the starting point to identify major challenges and research gaps. To complement this academic perspective, qualitative interviews with potential users were conducted in order to capture practice-oriented requirements. The resulting meta-requirements were translated into design principles and design features, illustrated through visualizations, and subsequently evaluated in an expert survey. The evaluation focused on three dimensions: practicability, completeness, and usefulness. The findings show that the developed design principles and features were positively received and are particularly valuable with regard to user-friendliness, transparency, and the integration of sustainability aspects. The study contributes to the academic discourse by positioning robo-advisory within the context of multiple transformations and to practice by providing concrete recommendations for the development of resilient and user-centered robo-advisory solutions.</p>