UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 1 | January 2026

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Volume 13 Issue 1
January-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2601007


Registration ID:
573783

Page Number

a58-a63

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Title

Agentic AI for ESG Practices in Enterprises

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.

Key Words

Agentic AI, ESG, autonomous systems, AI for Sustainability, sustainability monitoring

Cite This Article

"Agentic AI for ESG Practices in Enterprises", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.a58-a63, January-2026, Available :http://www.jetir.org/papers/JETIR2601007.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Agentic AI for ESG Practices in Enterprises", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppa58-a63, January-2026, Available at : http://www.jetir.org/papers/JETIR2601007.pdf

Publication Details

Published Paper ID: JETIR2601007
Registration ID: 573783
Published In: Volume 13 | Issue 1 | Year January-2026
DOI (Digital Object Identifier):
Page No: a58-a63
Country: Thane, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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