The Corporate Sustainability Reporting Directive (CSRD) represents a significant shift in how companies report on their sustainability practices. The importance of ESG reporting is recognised, but many companies are still reluctant because of the work involved in the reporting process. Preparing a double materiality analysis, approaching stakeholders with questionnaires and interviews, mapping Impacts, Risks and Opportunities and, above all, data collection for the ESRS standards is a time- and energy-consuming process.
In our consulting practice, we see that clients not only want advice on CSRD implementations but also need a software package that effectively supports this whole process. After an intensive search during which we reviewed more than 50 ESG reporting tools, we chose Fingreen AI. For organizations looking to streamline their compliance process, Fingreen AI offers a robust solution that simplifies the implementation of CSRD legislation. This article explores how Fingreen AI can be leveraged to meet CSRD requirements efficiently and effectively.
Effortless Onboarding and Project Management
Fingreen AI is designed to facilitate a seamless onboarding process for new clients. By utilizing NACE code mapping and industry insights, the software quickly identifies relevant impact areas, saving valuable time on research. The AI document hub allows users to upload various company documents, such as impact & audit reports, company policies and board papers, in any format for analysis. This feature helps suggest starting points for the Double Materiality Analysis (DMA), accelerating the process and ensuring a structured approach to stakeholder identification, value chain mapping, and materiality analysis.
Streamlined Double Materiality Analysis (DMA)
The DMA tool within Fingreen AI guides users through a structured process, facilitating stakeholder identification, value chain mapping, and materiality assessment. The software leverages AI to suggest relevant stakeholders, value chain items, and impact areas based on industry best practices and client-specific data. This ensures a more efficient and accurate materiality analysis. Users can attach documents and notes to build depth in their assessment, with all steps documented and timestamped for complete auditability.
Enhanced Data Collection and Reporting
Fingreen AI’s ESRS data collection module is designed to streamline the collection of up to 1.200 potential data entry points, both qualitative and quantitative. The platform provides AI-written suggestions based on client data and industry trends, making data collection faster and more accurate. This feature is particularly valuable for ensuring compliance with CSRD requirements, as it eliminates manual data transfer and ensures regulatory compliance. The software also supports the generation of compliant reports in HTML and xBRL formats, fully tagged and ready for submission.
Comprehensive Audit Trail
Maintaining a comprehensive audit trail is crucial for CSRD compliance. Fingreen AI meticulously tracks and timestamps every step of the process, creating a readily available audit trail for clients. This eliminates the need for last-minute document gathering and allows auditors to be invited directly to the platform audit view, reducing future administrative burdens.
Data Security and Privacy
Fingreen AI prioritizes data security and privacy, adhering to European regulations such as GDPR. The platform employs a multi-layered approach to secure data, including encryption at rest and in transit, robust backup and disaster recovery strategies, and regular security testing. Additionally, Fingreen AI uses external key management to ensure maximum control and data sovereignty, safeguarding against unauthorized access.
User-Friendly Interface and Collaboration
The user-friendly interface of Fingreen AI simplifies data collection and analysis, enabling organizations to deliver accurate and timely reports. The platform’s emphasis on transparency and auditability aligns perfectly with the commitment to high-quality, scientific reporting.
Key benefits Fingreen AI
Implementing CSRD legislation can be a complex and time-consuming process. However, with Fingreen AI, organizations can streamline their compliance efforts, ensuring accuracy and efficiency. By leveraging AI-driven insights and robust data security measures, Fingreen AI provides a comprehensive solution for managing CSRD projects. This allows organizations to focus on strategic sustainability initiatives while ensuring compliance with regulatory requirements.
Experience Goal 17 with Fingreen AI
There are more than 200 ESG software providers on the market. Goal 17 did an extensive inventory of which tool is most suitable for companies that need to comply with CSRD legislation from 2025. We searched for a tool that supports the entire CSRD process, enables efficient data collection, includes all ESRS standards, is audit-proof and also attractively priced. Fingreen AI meets all these criteria. In the past year, we have successfully deployed Fingreen AI at several customers. The main benefits we have experienced are:
- All DMA results and ESRS data in 1 platform
We regularly speak to companies that record their CSRD process in Excel sheets, supplemented by Word documents and PowerPoint presentations. Not only is this error-prone and laborious, but it also forces organisations to integrate (new) legislation into existing reports themselves. Fingreen AI’s platform offers the possibility to store all data (CSRD data as well as the DMA, stakeholder overview, value chain and Impacts, Risks and Opportunities and ESRS standards) in one place and updates of legislation and new standards are automatically integrated into the software.
- Efficient Data Collection and Analysis
The AI assistant in Fingreen AI simplifies data collection and analysis by providing AI-written suggestions based on client data and industry trends. This feature makes data collection faster and more accurate, ensuring compliance with CSRD requirements. This saves us (as consultants) and the client a lot of time, time they can spend on actually making the organisation more sustainable.
- Enhanced Collaboration
Fingreen AI offers many opportunities for collaboration, both within the organization and with external auditors. Fingreen AI offers granular control over user access, allowing organizations to manage data access with exceptional granularity, ensuring only authorized personnel have access to specific data sets. Fingreen AI supports the delegation of tasks both internally and externally, sharing the workload and increasing commitment to the process of sustainability.