Greenomy recently took the opportunity to explain AI’s transformative role in streamlining ESG reporting for corporates.
The Corporate Sustainability Reporting Directive (CSRD) presents unique challenges for corporations across and beyond Europe. With complex requirements like gap analyses and Double Materiality Assessment, mastering these intricacies demands significant expertise. Recent statistics show only 23% of businesses have started their CSRD reporting preparations, and 29% plan to do so soon, leaving a majority unprepared for its commencement.
AI plays a pivotal role in assisting corporates with ESG reporting, enhancing compliance and sustainability strategies. Alexandra Serras, an industry expert, explains how AI serves as an all-encompassing ESG advisor, simplifying complex legislations, aiding in data collection, and sharing best practices.
AI’s value in ESG reporting is immense, especially in managing extensive documentation like the CSRD’s over 1,300 data points. AI technology aids in interpreting and consolidating this data, making it an indispensable tool for corporates.
Greenomy’s AI integration exemplifies how AI can simplify ESG reporting, ensuring adaptability to evolving regulations and maintaining compliance with minimal resources. AI complements ESG teams, especially those with tight budgets, by streamlining processes and increasing efficiency.
AI’s potential in ESG reporting is vast, going beyond expedited reporting to enabling strategic improvements in sustainability. It identifies gaps, recognizes patterns, and suggests sustainable improvements, proving to be a strategic ally for corporates.
While AI offers significant advantages, challenges persist. Alexandra Serras notes the necessity of human oversight to maintain accuracy and manage data overload. Large Language Models (LLMs) present a computational challenge in handling diverse data types like sustainability and legal texts, requiring a careful balance of information input.
The integration of AI in ESG reporting is proving invaluable. It not only optimizes time and costs but also serves as a foundation for human intervention. As AI’s capabilities grow, its role in ESG reporting will continue to expand, offering tailored recommendations and advanced capabilities for setting and achieving sustainability goals.
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