E173 ‘Pioneering AI-Driven ESG Reporting Solutions’ with EcoEasi’s Muiris O’Dwyer and Aidan Connolly

Today’s guests are Muiris O’Dwyer, CEO and Co-Founder and Aidan Connolly, Co-Founder and Director of Technology at EcoEasi. EcoEasi leverages AI to simplify supply chain ESG (Environmental, Social, and Governance) reporting for mid-sized companies and their SME suppliers. They have been selected as a finalist for Best Application of Sustainability for the 2024 AI Awards, highlighting its innovative approach to democratising ESG reporting through AI.

In the podcast, Muiris shares insights into the challenges SMEs face in the realm of ESG reporting. At the core of their innovation is the need for accessible and efficient ESG data management, driven by regulatory mandates such as the EU’s Corporate Sustainable Reporting Directive. This regulation requires large companies to report extensive ESG data, a task heavily reliant on the often resource-constrained SME suppliers within their supply chains.

EcoEasi tackles these challenges with AI, bridging the data gap between SMEs and larger corporations. The conversation highlights how AI not only automates the collation of ESG data but also ensures the data’s audit quality. By utilising both qualitative and quantitative data, EcoEasi offers a cost-effective solution to SMEs, which lack the expertise and resources to independently manage complex ESG frameworks. The platform essentially serves as a democratiser, leveling the playing field for SMEs to contribute effectively to ESG goals.

Aidan elaborates on the technological backbone of their solution. EcoEasi employs Oracle’s AI-driven database technology, among other AI services, to assimilate and process data from diverse sources. This technology pre-populates reports, allowing SMEs to endorse the data’s accuracy before submission. Aidan emphasises the importance of having robust methodologies that ensure the data aligns with expected ranges and client needs, mitigating the risk of inaccuracies.

Recognising the complexity faced by SMEs in managing ESG data, Muiris and Aidan stress the importance of an intuitive, streamlined approach. EcoEasi minimises the burden on SMEs by providing a framework that efficiently manages and organizes necessary data inputs. The platform is also engineered to adapt to the evolving landscape of AI technology and ESG requirements, ensuring that it remains a relevant and reliable tool for businesses.

The potential of AI to transform ESG reporting is evident. EcoEasi is not only simplifying a cumbersome process but is positioned as a key player in fostering sustainable business practices globally. As technology and regulations continue to evolve, EcoEasi stands ready to lead the charge towards real-time, actionable ESG insights.