Agentic AI for Regulatory Intelligence: Scalable Compliance Systems in Multinational Tech Enterprises

Abstract

The growing complexity of global regulations in sectors such as e-commerce and healthcare has made traditional manual compliance systems inefficient and difficult to scale. This paper proposes an agentic AI–driven regulatory intelligence framework that automates the compliance lifecycle across jurisdictions. The framework integrates horizon scanning, natural language processing, autonomous policy interpretation, and AI-based risk assessment to support real-time detection of regulatory changes, automated control mapping, and proactive remediation. Distributed AI agents coordinate compliance activities across departments while maintaining auditability, human oversight, and ethical governance. By transforming compliance from a static, document-heavy process into an adaptive intelligence system, agentic AI can reduce regulatory risk, strengthen operational resilience, and improve strategic decision-making at global scale.