Case Study: Leading Global Insurer improves ESG data accuracy and cuts manual reviews by 50% with Capgemini

Capgemini, in collaboration with AWS, empowers a leading insurer’s CFO organization to establish a robust foundation for future sustainability reporting by deploying a unique AIdriven anomaly detection solution

Leading Global Insurer faced significant risk managing ESG data from more than 30 sources across facilities, philanthropy, investments, and HR. Traditional monitoring methods could not reliably catch errors and inconsistencies, putting audit readiness and ESG reporting accuracy at risk, so it turned to Capgemini for help.

Capgemini implemented a machine learning-based anomaly detection solution, in collaboration with AWS, to automatically identify ESG data issues and their root causes. The result was a 50% reduction in manual review effort, improved data accuracy for CFO and sustainability reporting, stronger compliance, and a scalable foundation for expanding across all ESG data sources.