In the first blog of our Agentic AI series, we explored how Agentic AI can help overcome the persistent barriers slowing pharmaceutical R&D, from siloed data to regulatory complexity. However, R&D is not the only part of the product lifecycle experiencing data challenges hindering project success. Drug developers face further complexity throughout manufacturing and laboratory operations, including manual workflows that drain productivity and capacity constraints. To meet rising demand, life sciences companies need smarter, faster solutions. In the second blog of our Agentic AI series, we explore how Agentic AI is helping to unlock the next level of efficiency in manufacturing and laboratory operations through autonomous, intelligent action.