{
  "id": 6338,
  "url": "https://arxiv.org/abs/2605.00841v1",
  "title": "AI Agents for Sustainable SMEs: A Green ESG Assessment Framework",
  "summary": "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 lar",
  "authors": "Viet Trinh, Tan Nguyen, Minh-Huyen Phan, Quan Luu",
  "category": "research",
  "topics": "regulation,jobs-economy,agents-autonomy,environment",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-04-05T20:44:14.000Z",
  "fetched_at": "2026-07-14T16:32:24.292Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6338",
  "original_url": "https://arxiv.org/abs/2605.00841v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}