Agile Artificial Intelligence Governance: A Practical Approach to Responsible Corporate Adoption

Abstract

This paper presents an artificial intelligence (AI) governance framework illustrated through an anonymized large-enterprise scenario, designed to balance the critical need for accelerated innovation with the management of emerging risks, privacy, and cybersecurity. During the 2025-2026 transition, the scenario reflects the challenge of mass adoption of generative AI and foundation models. The proposed solution is an "Agile Governance" model that integrates international standards such as ISO/IEC 42001 and the ISMS Forum/Cisco guidelines, and that establishes an ecosystem of defined roles (CAIO, CISO, CDO) and an automated risk-classification process. The paper details guiding principles, a multidimensional validation lifecycle (technical, ethical, and functional), and an enabling reference tech stack (AI initiatives hub), providing a practical roadmap for organizations seeking to scale AI adoption safely and responsibly.

Keywords: AI Governance, Artificial Intelligence Governance, AI Risk Management, Responsible AI, AI Safety, Machine Learning Governance, AI Policy, AI Risk

JEL Classification: O33, L86, D81, O38