ESG-Consultant: Developing of an ESG Compliance Consulting Tool for Companies Using RAG

Angel Ontiveros, Irina Nikishina, Moritz Gomm, Christopher Schmitt, Chris Biemann

Abstract: Environmental, Social, and Governance (ESG) compliance has emerged as a crucial benchmark in contemporary corporate assessment. The present work develops and evaluates a software tool called ESG-Consultant to facilitate ESG compliance for companies. We also discuss two tasks related to the application of ESG: determining the Applicability of ESG Law to companies and ESG Law Question Answering. To the best of our knowledge, no previous works tackle these tasks specifically on ESG regulations. For both tasks, we create datasets and develop pipelines based on Retrieval Augmented Generation using LLMs. The results are quite promising, proving that our system can be effectively used to support, but under no circumstances replace practitioners. We hope this work contributes to more effective corporate practices for a sustainable future. The code of our tool and demonstration system are available online (https://github.com/angelonti/ai4esg_experiments, https://ai4esg-app.azurewebsites.net/ (pass1: e2c306nt for the annotations), https://www.youtube.com/watch?v=JKKGD3lFiUA).

External IDs:dblp:conf/nldb/OntiverosNGSB25