This session will provide an overview of a hospital pilot program deploying causal analysis and generative artificial intelligence to identify, explain, and reduce drivers of nursing documentation burden. The presentation will also provide recommendations and lessons learned, including the development of metrics and validation of data normalization techniques, and the analysis process used for intervention design and prioritization will serve to guide future work in extending the body of knowledge on causal analysis in support of reducing nursing documentation burden.