Sustainability and sustainable development have become critical priorities across economics, sociology, environmental science, and related disciplines. As humanity confronts unprecedented challenges—from resource scarcity to systemic inefficiencies—traditional frameworks often prove inadequate. A stark indicator of this gap is the 90% failure rate of new businesses, underscoring the need for innovative models tailored to modern complexities. This article examines three advanced frameworks—the Simple Learning Motivation Hierarchy Model (SLMHM), Societal Patterns Evolution Model (SPEM), and Theory of Human Motivations 2.0 (THM 2.0)—and their applications in sustainability. Designed for socio-technical and psycho-bio-technical systems, these models offer multidisciplinary solutions adaptable to diverse organizational scales and layered challenges. Their strength lies in integrating human behavior, technological dynamics, and systemic interdependencies. Central to this approach is a neo-humanist paradigm, which redefines humans as participants within systems rather than their focal point. This shift, driven by technological and societal evolution, enables more resilient strategies. The proposed model leverages comprehensive organizational and environmental diagnostics to mitigate business failures. Additionally, two software tools are presented, showcasing how data-driven assessments can guide organizational maturity and growth. Together, these advancements address sustainability gaps while fostering scalable, adaptive solutions.