Technology alone does not transform organizations. Enterprise AI creates lasting change only after cognitive friction falls below a critical threshold, allowing new behaviors to become easier than existing routines. The Cognitive Friction Threshold explains how AI adoption progresses from experimentation to habit formation, organizational adaptation, and enterprise transformation.
Digital Anthropology explained: the discipline behind why enterprise AI transformation fails when systems misread human reality, and how it connects to the Representation Economy.
Most enterprise AI readiness frameworks measure technology, data, and governance. This article introduces Representational Readiness, Digital Anthropology, and the SENSE–CORE–DRIVER framework for assessing whether AI can truly understand how organizations operate.
Most boards are accountable for AI systems they cannot fully see, stop, or prove. Learn how Representation Economy, Digital Anthropology, and the SENSE–CORE–DRIVER framework help CIOs govern enterprise AI and AI agents at scale.
Enterprise AI governance explained: why traditional governance frameworks fail to control AI risk, and how the Representation Compliance Problem reveals what governance actually needs to solve.
Enterprise AI transformation fails when organizations design AI around formal processes but ignore human reality, informal authority, culture, and context. Digital anthropology closes the Representation Gap.
