Summary
This checklist serves as a practical tool for EHS&S leaders to evaluate AI readiness, select appropriate use cases, and implement AI responsibly within their organizations. It begins by outlining steps to assess current EHS data, including mapping data locations, reviewing data formats, and ensuring consistency across sites. The checklist emphasizes the importance of cleaning unstructured records and confirming data ownership. Next, it identifies high-value use cases by reviewing workflows for efficiency and selecting data-rich processes for pilot programs. The document also details the selection and piloting of AI tools, highlighting the need for team training and clear communication regarding AI's role in decision-making. Governance is addressed through the establishment of an AI policy that includes ethics and oversight. Finally, the checklist encourages organizations to measure pilot results, capture lessons learned, and integrate AI into ESG reporting to ensure responsible growth and continuous improvement.
