Tuesday, February 17, 2026
11.2 C
Los Angeles

The philosophical puzzle of rational artificial intelligence

To what extent can an artificial system...

AUSTRAC backs newly regulated sectors with release of AML/CTF program starter kits

AUSTRAC has released its anti-money laundering program starter kits...

Greenomy Highlights AI’s Transformative Role in Streamlining ESG Reporting for Corporates Under CSRD

AI/MLGreenomy Highlights AI's Transformative Role in Streamlining ESG Reporting for Corporates Under CSRD

Greenomy recently highlighted the transformative role of AI in streamlining ESG (Environmental, Social, and Governance) reporting for corporates, particularly in the context of the Corporate Sustainability Reporting Directive (CSRD) in Europe.

The CSRD poses challenges for corporations, including complex requirements such as gap analyses and Double Materiality Assessment. Many businesses are unprepared, with only 23% having started their CSRD reporting preparations, and 29% planning to do so soon.

AI plays a pivotal role in assisting corporates with ESG reporting, enhancing compliance and sustainability strategies. It acts as a comprehensive ESG advisor, simplifying complex legislations, aiding in data collection, and sharing best practices. AI’s value is particularly evident in managing extensive documentation, such as the CSRD’s over 1,300 data points, by interpreting and consolidating this data.

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 goes 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. Human oversight is deemed necessary to maintain accuracy and manage data overload. Large Language Models (LLMs) present computational challenges in handling diverse data types, requiring a careful balance of information input.

The integration of AI in ESG reporting is proving invaluable, optimizing time and costs while serving as a foundation for human intervention. As AI capabilities grow, its role in ESG reporting is expected to expand, offering tailored recommendations and advanced capabilities for setting and achieving sustainability goals.

By FCCT Editorial Team

Disclaimer: The views expressed in this article are independent views solely of the author(s) expressed in their private capacity.

Check out our other content

Ad


Check out other tags:

Most Popular Articles