Turning Complex ESG Data into Clear Reports with ESG-X
Gap Analysis – AI text suggestions with justification, data tagging to ESRS Taxonomy – Environmental Services
The Challenge: Turning ESG Data into Clear Reports
Johannes, Sustainability Manager at an environmental services company, needed to keep pace with evolving ESRS requirements. Previously, manual processes and outdated software made reporting slow and error prone. Updating disclosures involved interpreting complex standards, rewriting text, and manually tagging data back to the ESRS taxonomy, all of which consumed significant time and resources.
The Solution: AI-Powered Gap Analysis & Optimization
With ESG-X, Johannes and his team automated the process:
- AI-generated suggestions filled disclosure fields, supported by justifications for each entry.
- Automatic tagging ensured every disclosure mapped correctly to the ESRS taxonomy.
- Progress dashboards (e.g., answered questions, surveys completed, severity of IROs) gave visibility into reporting status.
- Updates to ESRS requirements were implemented quickly.
The application is very stable and works flawlessly. The simple integration of the ESRS standard and the quick implementation of updates are a major advantage for us. I enjoy using the software every day because it offers me many benefits.
— Johannes, Sustainability Manager, Environmental Services Company
Value Delivered
By automating ESRS gap analysis and optimization, Johannes's team cut preparation time significantly. Manual drafting and taxonomy tagging that previously took over a week could now be completed in just a few days. This freed resources for strategic sustainability planning instead of repetitive compliance work.
Why ESG-X?
For this environmental services company, ESG-X stood out because it turned a manual, error-prone process into a guided, automated workflow. Instead of struggling with complex standards and repetitive data tagging in Excel, the team benefited from AI-generated text suggestions and ESRS taxonomy mapping.