Abstract
In recent years, the range of environmental, Social, and Governance (ESG) expectations has been growing fast, but in most organizational systems, the system is still based on the provisions of reactive formalized processes that fail to keep up with changing regulations, the lack of connected data, and multifaceted sustainability risks. This article presents Agentic ESG Framework, a multi-layered architectural design, which allows autonomous and ethically informed, continuously adaptive ESG governance. The framework incorporates strategic ESG goals, real-time regulatory interpretation, multi agent coordination, and is based on breakthroughs in agentic artificial intelligence, responsible AI governance and multi-source data sensing, adaptive feedback loops and strong oversight mechanisms. As the analysis shows, framework helps to improve the clarity of sustainability goals, contributes to active adherence to the standards, including GRI, SASB, CSRD, and improves coordination on the environmental, social, and governance levels. Findings also indicate that agentic capabilities enhance fairness, transparency, and responsiveness whereas embedded governance safeguards maintain human oversight and auditability. Framework offers organizations a scalable route to future sustainability systems by transforming ESG into a dynamic reporting framework into an intervention-oriented management approach. The article adds to the integrated framework that connects the developing AI capabilities to the challenges of regulatory compliance, ethical responsibility, and long-term organizational sustainability.