GxP manufacturing has historically relied on the application of tribal and systemic knowledge to ensure the safety, purity, and efficacy of a product. Floor personnel apply these knowledge domains to resolve deviations and investigations or to expand their process understanding (e.g. continuous process verification). Recent advances in the application of large language models such as GPT are poised to create a human-AI interface that significantly increases the efficiency of operators and subject matter experts as they execute CMC lifecycle management activities such as process scale-up and technical transfers. This talk will illustrate some of the ways large language models are being developed within Global Manufacturing Sciences to create human-AI partnerships that integrate GxP expectations.