The convergence of ecological collapse, technoscientific acceleration, and the continued marginalization of Indigenous knowledge systems marks a critical inflection point in global sustainability governance. Existing infrastructures such as ESG indices, the Sustainable Development Goals (SDGs), and environmental markets are embedded within extractive epistemologies that reduce complexity into linear, commodified metrics. These models systematically exclude the relational, intergenerational, and place/land-based knowledge that underpins over 80% of the world’s remaining biodiversity. We present this article as a complexity-informed review of biokulture engineering; a framework grounded in Indigenous governance, artificial intelligence, and relational verification systems. Through an in-depth analysis of tools such as the Biokultural AI Engine, Biokultural Verification Ledger, Systems of Meaning Generator, and Biokultural API suite, we explore a new paradigm of regenerative governance. By centering Indigenous sovereignty, semantic justice, data sovereignty, and narrative legitimacy, this model transcends symbolic inclusion to offer a relational, distributed, and adaptive operating system for planetary stewardship.