JLL - How AI can bridge the ESG data gap in valuations

Valuers face increasing pressure to incorporate ESG factors into valuations, yet gaps in data availability and quality remain a key obstacle. This case study explores how JLL tested Large Language Models (LLMs), including its proprietary JLLGPT, to enhance the extraction of ESG data from diverse sources. The findings reveal JLLGPT’s accuracy, particularly in processing multi-language documents, demonstrating the potential of AI to streamline ESG reporting and improve valuation robustness.