Seamlessly Generate Your EU Taxonomy

If a bank lacks internal expertise about the various European Union (EU) legislations, it can be difficult for the bank to comply with these regulations and maintain a strong risk management framework. This can lead to potential legal and financial risks, as well as reputational damage.

Having digitalized all of the European Union (EU) finance regulations and utilizing Greenomy as a regulatory radar for new regulations can provide a bank with a comprehensive and up-to-date understanding of its compliance obligations.

Performing due diligence on a bank's entire loan book can be a complex and time-consuming process.

Greenomy becomes your centralised platform for your whole loan book that allows you to collaborate with your direct and extended team.

Manual data requests are labor-intensive and time-consuming process. This can potentially lead to delays in obtaining the necessary information and hinder the bank's ability to accurately assess the sustainability of its clients' investments and loans.

Automated data request from your clients through the Greenomy platform and provides an additional service for your clients. While at the same time reducing the risk of error made.

To screen your banking book’s GAR & BTAR (respectively Green Asset Ratio and Banking Book Taxonomy Alignment Ratio) as well as other supporting KPIs linked to investment portfolios and off-balance sheet guarantees on a yearly basis. You may face penalties in the future if you fail to disclose and audit your results in due time.

Greenomy automates the collection of existing Taxonomy scores and their consolidation at the bank level. It facilitates the screening of banks’ retail loans through Optical Character Recognition (OCR) and the screening of counterparty activities through the Lender portal.

Write multiple reports that are compliant with the EU reporting requirements

Retrieves your machine-readable EU Taxonomy report. Download the official reporting template already filled out with all computed KPIs, in Excel, PDF, XBRL or JSON.