For many sustainability managers, the complexity of environmental regulations and sustainability obligations can seem insurmountable. If you're looking to break through this complexity and effectively address sustainability within your organization, starting with a double materiality assessment (DMA) is a strategic choice.
Double materiality refers to the dual perspective of how environmental, social, and governance (ESG) factors impact your business and how your business impacts these elements in return. A thorough double materiality assessment helps prioritize actions based on these insights, ensuring you meet both business objectives and regulatory requirements under the Corporate Sustainability Reporting Directive (CSRD).
You can find more about double materiality assessments on this page.
Begin your double materiality analysis by reviewing existing data from past reports, industry studies, and scientific research. This helps establish a baseline understanding of your impact and identifies key areas for improvement.
You can find more on how to use existing sources of information in this blog article.
Utilizing AI, particularly pre-trained Large Language Models (LLMs), can drastically reduce the time and cost associated with data analysis. These technologies efficiently organize and analyze large volumes of data, making it easier for you to derive actionable insights.
Stakeholder engagement is essential, but it doesn't have to be overwhelming. Focus on gathering high-quality feedback through well-designed surveys and interviews. This focused approach helps prevent data overload and ensures that the feedback you receive is both relevant and actionable.
You can find more on stakeholder engagement in this blog article.
Our collaboration with a financial institution highlights the effectiveness of combining AI with human insight. By analyzing the company's activities through AI, we identified key impact areas and opportunities. Further enriched by stakeholder feedback, the final double materiality assessment provided a comprehensive view that guided the institution's sustainability strategies.
By simplifying the approach to double materiality assessment, sustainability managers can navigate the regulatory landscape more effectively and align sustainability efforts with strategic business goals. The combination of AI and targeted stakeholder engagement not only makes the process more manageable but also turns sustainability reporting into a strategic tool rather than a regulatory burden.
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