Governing Generative AI at Scale: Institutionalizing Alignment for Organizational Purpose

Abstract

The rapid integration of generative AI (GenAI) into core organizational infrastructure requires a rethinking oftraditional governance models. This paper explores how organizations can effectively govern GenAI at scale whilemaintaining strategic, ethical, and societal alignment. By synthesizing key theoretical frameworks, including institutionaltheory and dynamic capabilities, we propose a conceptual framework organized around three interconnected domains:Model Stewardship, Operational Alignment, and Strategic Guardrails. We contend that scalable governance must evolvefrom static compliance to a dynamic, adaptable organizational capability. The paper concludes with the introduction of theGenAI Governance Maturity Model (GAI-GMM), a research-based tool for institutional alignment.