Using Generative AI to Identify CSRD Data Gaps and Accelerate Compliance
A global client, a consumer health and hygiene company, needed to ensure they could meet new European sustainability disclosure requirements — the CSRD — within a very short timeframe. Ekimetrics deployed ESG Copilot, our dedicated AI module, to uncover the gaps between the client’s internal ESG performance and policy data and external regulatory requirements. Our module completed the analysis in a fraction of the usual time, giving the client more time to focus on enhancing their performance and policies.
What we did
Challenge
- The client’s sustainability data was decentralized and scattered across the whole organization.
- The client hadn’t sized the “gap to meet” to set an internal project schedule and meet the reporting deadline (2025).
- A traditional gap analysis requires heavy time and resource investment by the company. The typical process would include gathering data manually and transposing it into the CSRD reporting matrix, which contains 1200+ quantitative and qualitative disclosure requirements.
Our approach
- We deployed ESG Copilot, our off-the-shelf generative AI solution.
- Sustainability data, spanning a variety of formats, was gathered across business units and ESG topics.
- The tool consolidated this data and transposed it into the CSRD reporting matrix.
Outcome
- Our approach dramatically reduced the time and effort typically allocated to evaluating this gap, from 6 months to only 6 weeks.
- ESG Copilot provided detailed recommendations for improvements for 100% of the data points.
- The client can now assess gaps continuously as it moves forward on the reporting journey.
Challenge
A global consumer health and hygiene retailer needed to get up to speed with impending Corporate Sustainability Reporting Directive (CSRD) requirements. The client engaged us to perform an organization-wide gap analysis to identify the gap between existing sustainability data and the requirements of the CSRD, which introduces new indicators across all environmental, social and governance topics.In an organization of this size, ESG data is typically decentralized and inconsistently formatted. A gap analysis usually involves manual effort, a substantial team, and months of work. With the 2025 CSRD deadline approaching, our client needed an accelerated time-to-value.
Our approach
The power of generative AI to solve complex data problems creates a massive opportunity to accelerate the path to sustainable business. Our goal was to automate the gap analysis to save our client time and maximize the value of the client’s ESG data by leveraging Generative AI’s capabilities to synthesize and analyze it in context.With that overarching goal in mind, we customized our ESG Copilot Generative AI tool to analyze millions of data points based on the different reports and policies and score the client’s existing reporting against the CSRD data requirements.
Outcome
With the analysis complete, the client has complete visibility on the different European Sustainability Reporting Standards (ESRS) and can also deep-dive at the data point level to assess the gap and the “gap to meet”. Where current reporting and CSRD requirements don’t align, ESG Copilot provides recommendations for remediating and improving reporting.Our intentionally designed solution enables our client to ensure CSRD compliance, safeguard its brand, and maximize the value of its ESG data using minimal time and resources. To know more about our GenAI for Business solution
