Using Generative AI to Identify CSRD Data Gaps and Accelerate Compliance

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 Celsius.CSRD, 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.
- • The tool analyzed the quality of each data point provided with regards to the requirements of the CSRD and provided a detailed evaluation.
Outcome
- • Our approach dramatically reduced the time and effort typically allocated to evaluating this gap, from 6 months to only 6 weeks.
- • Celsius.CSRD 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.
- • Our solution streamlines the reporting process and ultimately reduces the time to action.

Résultats

Streamlined data from 20 reports

across multiple formats and business units

1,200+

disclosure requirements evaluated, both qualitative and quantitative

6 weeks vs. 6 months

To deliver gap analysis

Delivered occured in parallel

with a double materiality assessment

Challenges

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 Celsius.CSRD 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, Celsius.CSRD 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.

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