About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

AxiomSL Integrates ESG and Financial Reference Data to Automate Sustainability Reporting

Subscribe to our newsletter

AxiomSL has released an Environmental, Social and Governance (ESG) solution designed to automate compliance with sustainability and social impact reporting requirements being developed by the European Banking Authority (EBA), the European Securities and Markets Authority (ESMA) and other regulatory bodies.

The solution standardises the process of integrating ESG data attributes, such as counterparty exposures, climate risk reference data and social impact data, with existing financial reference data in a common data dictionary to streamline ESG reporting for financial institutions.

It does this by ingesting proprietary, bank reported and third-party ESG data from all major data vendors and reducing the information down to granular data attributes that can be tagged with reference data required for regulatory disclosure. By integrating individual ESG attributes with existing financial data in a common data dictionary, the solution makes it possible to automate ESG risk disclosures using a methodology that ensures both accuracy and consistency.

In addition to fulfilling regulators’ disclosure requirements, a consistent data flow makes it possible for institutions to continually benchmark their progress against stated sustainability and social impact improvement goals.

“Creating a sustainable future is about more than just reducing emissions and committing to global initiatives. Financial institutions need to be able to accurately measure and report on their exposure to ESG risks to track progress and drive improvement,” says Alex Tsigutkin, founder and CEO at AxiomSL. “By integrating essential climate risk and social impact data with our existing financial data in a common data dictionary, we are making it possible for institutions to automatically capture and report ESG exposures in much the same way as they have been reporting traditional financial risks.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

Solidatus Updates AI to Give Agentic Boost to Workflow Speed and Scale

Data lineage and governance specialist Solidatus has expanded its AI capabilities in a new release that introduces enhanced AI Assistant functionality, bring-your-own-LLM support and new integrations designed to help organisations accelerate governance and data lineage workflows. In the summer, the company upgraded its service offerings with update 2026.3 the contains a set of capabilities that...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...