[2605.00841] AI Agents for Sustainable SMEs: A Green ESG Assessment Framework
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Computer Science > Artificial Intelligence
arXiv:2605.00841 (cs)
[Submitted on 5 Apr 2026]
Title:AI Agents for Sustainable SMEs: A Green ESG Assessment Framework
Authors:Viet Trinh, Tan Nguyen, Minh-Huyen Phan, Quan Luu
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Abstract:This study presents a novel, AI-driven framework for assessing Environmental, Social, and Governance (ESG) performance in European small and medium-sized enterprises (SMEs). An initial phase established expert-validated ESG baseline scores from a subset of the Flash Eurobarometer FL549 survey data. In the second phase, a scalable AI agent system, built on the n8n automation platform, applied these baselines to perform automated ESG classification and generate contextual recommendations using large language models (LLMs). The results demonstrate the AI system's high consistency with human-derived outputs, thereby supporting more effective monitoring and intervention strategies aligned with the European Green Deal.
Subjects:
Artificial Intelligence (cs.AI); General Economics (econ.GN)
Cite as: arXiv:2605.00841 [cs.AI]
(or arXiv:2605.00841v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2605.00841
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arXiv-issued DOI via DataCite
Submission history
From: Viet Trinh [view email] [v1] Sun, 5 Apr 2026 20:44:14 UTC (1,298 KB)
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