AI Agents for Sustainable SMEs: A Green ESG Assessment Framework
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2026
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| author | Trinh, Viet Nguyen, Tan Phan, Minh-Huyen Luu, Quan |
| author_facet | Trinh, Viet Nguyen, Tan Phan, Minh-Huyen Luu, Quan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_00841 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | AI Agents for Sustainable SMEs: A Green ESG Assessment Framework Trinh, Viet Nguyen, Tan Phan, Minh-Huyen Luu, Quan Artificial Intelligence General Economics Economics 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. |
| title | AI Agents for Sustainable SMEs: A Green ESG Assessment Framework |
| topic | Artificial Intelligence General Economics Economics |
| url | https://arxiv.org/abs/2605.00841 |