ESG Case study: How EnerSys uses GenAI to drive Sustainability

AI is revolutionizing sustainability practices, with EnerSys showcasing how AI tools can significantly enhance efficiency and accuracy in data collection, reporting, and analysis for ESG efforts.

In the recently published Thomson Reuters Future of Professionals 2024 report, more than three-quarters (77%) of professional services respondents said they believe artificial intelligence (AI) will have a high or transformational impact on their work over the next five years. This was 10 percentage points higher than in the 2023 report; and moreover, a resounding 78% of professionals said they believe AI is a force for good.

It appears that this may be the case for sustainability practitioners as they face intense workloads from the explosion of upcoming environmental, social & governance (ESG) regulatory requirements. Christina Sivulka, the global sustainability manager at EnerSys — a leading industrial battery manufacturing and energy storage company — is one of these leaders at the forefront of leveraging AI. In fact, she and her colleagues have been using AI to enhance their company’s sustainability data collection and reporting processes for the last 18 months.