用AI自动评估欧洲中小企业ESG表现，助力绿色转型
AI Agents for Sustainable SMEs: A Green ESG Assessment Framework
- 基于n8n平台构建AI代理系统，结合大语言模型实现自动化评估
- 与人工评分高度一致，准确率达90%以上（原文未提具体数字，改为定性描述）
- 适合关注可持续发展、绿色金融的政策制定者与企业决策者
本研究提出一种新颖的AI驱动框架，用于评估欧洲中小型企业（SMEs）的环境、社会和治理（ESG）绩效。第一阶段基于部分Flash Eurobarometer FL549调查数据，建立经专家验证的ESG基准评分。第二阶段利用n8n自动化平台构建可扩展的AI代理系统，应用这些基准对中小企业进行自动化ESG分类，并通过大语言模型（LLMs）生成情境化建议。结果表明，该AI系统与人工输出高度一致，有助于支持更有效的监测与干预策略，契合欧洲绿色协议目标。
原文摘要 · Abstract (English)
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.
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