Human well-being in the twenty-first century is inseparable from the resilience and regenerative capacity of ecosystems. Climate instability, biodiversity loss, urban vulnerability, and socio-economic inequities highlight the need for integrative knowledge systems and governance approaches capable of aligning human activity with ecological limits. This chapter presents a framework combining Artificial Intelligence (AI), Innovationology, and ecosystem stewardship to support regenerative socio-ecological futures. AI provides capabilities for monitoring, modeling, and forecasting ecological dynamics, but its effectiveness depends on embedding it within cultural, institutional, and ecological systems that prioritize long-term flourishing. Innovationology, defined as a transdisciplinary and postdisciplinary study of systemic, transformative innovation, provides a framework for co-creation, futures literacy, and stewardship-centered design. The concept of Ecosystemic Well-Being Intelligence (EWI) is introduced as a paradigm integrating environmental data, Indigenous knowledge, community practices, and AI-assisted analytics to inform holistic decision-making. Applications include biodiversity monitoring, climate adaptation, regenerative agriculture, sustainable urban systems, and psychosocial well-being. Institutional, economic, and cultural dimensions are considered, illustrating how Innovationology bridges traditional knowledge with advanced technological infrastructures. Five global case studies—Madagascar, Costa Rica, Kenya, Finland, and the Democratic Republic of Congo—demonstrate practical approaches to AI-augmented stewardship. Ethical considerations, including algorithmic fairness, data sovereignty, and equitable distribution of ecosystem benefits, are integrated throughout. The chapter concludes that combining AI with Innovationology and stewardship practices can foster socio-ecological systems in which human well-being is inseparable from ecosystem vitality.