AI
ESG reporting has become a core operational standard for many businesses. Alongside supporting compliance and sustainability initiatives, the data collected can also be used to inform and guide the company’ s overall strategy.
But there is a growing disconnect in corporate sustainability data that arises from the original design of ESG systems. While most architectures meet the needs of external stakeholders, such as regulators and rating agencies, they often do not provide information which offers practical insights for business leaders.
To address this gap, analytical tools that build on traditional data collection can support organisations. Integrating ESG metrics with core business functions like procurement and finance transforms sustainability from a compliance task into a strategic driver of long-term business growth.
Implementing these frameworks can create a compelling narrative for impact, rather than serving as a box-ticking exercise. However, scaling such insights requires moving beyond traditional tools like manual spreadsheets, which become unsustainable as data volumes increase.
“ These complicated and sophisticated systems have been designed to calculate and capture all of this data, but it’ s not really translating into that management piece yet,” says Farzad Wadia, ESG Lead at IRIS RegTech Solutions, a software as a service( SaaS) provider operating in the Governance, Risk, and Compliance( GRC) space.
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