Between CSRD and the European taxonomy, ESG compliance now generates a volume of data that traditional tools struggle to keep up with. Digitalizing extra-financial reporting has become a matter of reliability, not just convenience. To understand how this transformation is playing out in practice, we spoke with our Sustainability & Technology Associate, Kenza Boulaknadal.
Can you explain your day-to-day role, particularly regarding ESG reporting?
At Envoedge, my role is at the intersection of ESG, regulation, and technology. I support companies in structuring their strategy and ensuring the reliability of their ESG data, to facilitate their reporting and to derive insightful and impactful analyses from it.
The goal is to transform ESG data into a genuine management tool—one that is more accessible, more automated, and allows for a finer understanding of performance and efficiency. The idea is to go beyond mere reporting by facilitating data exploitation and enabling companies to make more informed decisions, ultimately leading to a real impact on their sustainable development performance.
How long has digital technology been an essential tool in this area, and what has specifically changed?
Digital technology has become essential due to the strengthening of regulatory requirements and the considerable increase in data volume. Indeed, we have moved from essentially one-off reporting to genuine continuous data management, which is more complex and demands greater reliability, traceability, and governance. But the focus is no longer just on the compliance exercise, as companies are now required to act on their impact, and this is where the integration of AI makes perfect sense.
In fact, one of the major contributions of AI lies in its ability to uncover blind spots that human analysis alone would not necessarily be able to identify due to the overwhelming volume and increasing complexity of ESG data.
But the issue goes further: AI now allows us to move from identifying problems to identifying levers for action. It can particularly highlight quick wins, but also help refine decarbonization strategies by simulating different scenarios, cross-referencing emissions with reduction levers, and assisting in prioritizing actions based on their impact.
Thus, we shift from a compliance logic to a genuine logic of anticipation, analysis, and impact, thanks to digital technology.
What types of digital tools do you use today to meet CSRD requirements?
Today, there are several broad categories of tools, each corresponding to a different stage of the process.
First, ESG data collection and management platforms, which allow for centralizing indicators, assigning responsibilities to contributors, and tracking progress in real time.
There are also more specialized tools focused on carbon footprint calculation, environmental data management, or risk analysis.
Finally, there is the entire reporting and delivery dimension, with tools capable of structuring information according to regulatory requirements and producing different types of deliverables.
At Envoedge, our approach is precisely to connect these different dimensions rather than letting the company juggle a multitude of isolated files and tools. We build an environment where data is collected, controlled, historically tracked, centralized, and enriched—and then used to meet multiple reporting needs simultaneously.
What are the main methodological challenges companies face in complying with the CSRD, and how do digital solutions help address them?
First of all, the primary challenge of the CSRD is knowing what methodology to apply and how to structure the approach. This is precisely where our experience allows us to support companies, particularly on double materiality, carbon assessment, and the various ESG questionnaires.
One of the main challenges is then centralizing all these works. With Envoedge, materiality, carbon assessment, greenhouse gas reduction trajectory, and ESG data questionnaires are brought together in the same space, which avoids multiplying tools and files and allows teams to work with coherent, centralized, and auditable information.
There is also a challenge of management and monitoring. The platform allows for tracking the progress of the various axes considered, quickly identifying elements still to be addressed, and providing a clear view of the overall progress of the initiative.
Digital solutions thus help save time throughout the process by centralizing information, structuring work, and facilitating its monitoring.
However, the tool does not replace methodological expertise. Our role is precisely to combine methodological support with technology, to enable companies to build a coherent CSRD approach while reducing the time spent on managing and monitoring reporting.
Can you give us a concrete example (anonymized if necessary) where a digital tool has resulted in significant time savings or reliability gains on a CSRD project?
Let’s take a typical case: a group with numerous entities and several thousand ESG data points to collect.
Without a platform, the process relies on sending Excel files to each subsidiary. The central team must then retrieve the files, verify versions, follow up with contributors, consolidate the data, and identify inconsistencies—a long process with a high risk of error.
With Envoedge, this process is structured and automated: each contributor accesses the information for which they are responsible, the data is centralized, and controls are integrated directly into the process.
Specifically, AI can automatically detect that a data point is inconsistent compared to the previous year, that a unit of measurement is incorrect, or that a data point shows an anomaly, and then compare it to benchmarks to identify discrepancies. It also facilitates the audit work by automatically identifying points of attention and anomalies to investigate, along with the necessary elements for their justification.
The time saving is real, particularly because a first version of the report and a sectoral benchmarking can be automatically generated with a single click. But the real added value lies in the fact that the company’s sustainability team spends less time engaging in the regulatory compliance exercise and more time focusing on creating impact and strategy.
Conversely, are there limits you observe in these tools, things that technology cannot yet solve?
Yes, and I think it is important to emphasize this. One of the primary limitations is that technology alone cannot decide whether information is strategically or regulatory relevant.
A tool can detect a mathematical inconsistency—a significant variation compared to the previous year, for example. But it cannot know whether this variation is explained by an acquisition, a methodological change, or a real evolution in the company’s performance. This interpretation remains human.
There is also the entire qualitative dimension of ESG reporting. Topics such as climate strategy, governance, or the analysis of impacts, risks, and opportunities require business expertise and a fine understanding of the company, which technology alone cannot produce.
Artificial intelligence can help analyze data, spot information, propose impact levers, or assist users—but it does not replace human responsibility for methodological choices.
Finally, a very simple but essential limitation: a tool always depends on the quality of the data supplied to it. Technology can improve governance and reduce errors, but it cannot create reliable data when the company’s internal processes are non-existent.
