Creating talking points for client advisers at banks to promote sustainable investing

Environmental, social and governance (ESG) factors have become key non-financial factors for investors to evaluate companies with respect to understanding material risks and growth opportunities. While not mandatory, companies are providing ESG reports that outline progress in different ESG metrics (six broad metrics and 15 specific ones). Client advisers (CAs) read these reports to identify key metrics of interest to investors. Given the number of companies and investment products, however, it is not feasible for CAs to read all the reports, which can sometimes run into tens or hundreds of pages). The authors have developed multiple frameworks building on leading approaches in natural language understanding (NLU) to identify relevant talking points in each document and then filter out the most important ones. A large bank has evaluated these approaches on a proprietary dataset of more than 100 sustainability reports and provided an F1 score of over 0.8. The system is currently being evaluated for integration into the bank’s decision-assist framework for client advisers. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Authors

Institutions

Publication Details

Journal
Journal of AI, robotics & workplace automation.
Published
2025-04-25
DOI
https://doi.org/10.69554/cmzb1679
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Creating talking points for client advisers at banks to promote sustainable investing

Alan Megargel, Pradeep Varakantham, Ewe Zi Yi
Journal of AI, robotics & workplace automation.
Corporate Social Responsibility Reporting
article

Creating talking points for client advisers at banks to promote sustainable investing

Alan Megargel, Pradeep Varakantham, Ewe Zi Yi
article en

Abstract

Environmental, social and governance (ESG) factors have become key non-financial factors for investors to evaluate companies with respect to understanding material risks and growth opportunities. While not mandatory, companies are providing ESG reports that outline progress in different ESG metrics (six broad metrics and 15 specific ones). Client advisers (CAs) read these reports to identify key metrics of interest to investors. Given the number of companies and investment products, however, it is not feasible for CAs to read all the reports, which can sometimes run into tens or hundreds of pages). The authors have developed multiple frameworks building on leading approaches in natural language understanding (NLU) to identify relevant talking points in each document and then filter out the most important ones. A large bank has evaluated these approaches on a proprietary dataset of more than 100 sustainability reports and provided an F1 score of over 0.8. The system is currently being evaluated for integration into the bank’s decision-assist framework for client advisers. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Journal of AI, robotics & workplace automation.Vol. 3(4)
Singapore Management University (SG)
Openalex Percentile: Top 88%
Corporate Social Responsibility Reporting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.