{"slug":"pfizer-saves-16-000-hours-annually-with-generative-ai-search-through-the-pact-initiative","url":"https://findausecase.com/use-cases/pfizer-saves-16-000-hours-annually-with-generative-ai-search-through-the-pact-initiative","title":"Pfizer saves 16,000 hours annually with generative AI search through the PACT initiative","description":"Pfizer and AWS created the Pfizer-Amazon Collaboration Team (PACT) initiative in 2021, pursuing 14 rapid-prototyping projects applying AWS analytics, ML and generative AI to laboratory, clinical manufacturing and supply chain challenges. Using Amazon Kendra and, later, Anthropic's Claude 2.1 via Amazon Bedrock (accessed through an internal voice/chatbot platform called Vox), Pfizer estimates scientists save up to 16,000 hours of document search time annually and cut related infrastructure costs by 55%. A separate PACT prototype uses Amazon SageMaker, Amazon Lookout for Equipment and Amazon Lookout for Metrics to detect anomalies in Pfizer's continuous manufacturing (PCMM) process. Five of the initial 14 PACT projects have moved into production.","company":"Pfizer","industry":"Healthcare","country":"United States","aiCapabilities":["Generative AI","Machine Learning","Fraud & Anomaly Detection"],"technology":["Amazon Kendra","Amazon Bedrock","Amazon SageMaker","Amazon Lookout for Equipment","Amazon Lookout for Metrics"],"deployment":"Public Cloud","problemStatement":"Pfizer scientists often had to look for data manually using a variety of tools to find historical data; the development of one drug can result in approximately 20,000 documents. Pfizer and AWS created the PACT initiative to minimize the time spent in data discovery for 1,500 PSSM scientists, among other laboratory, clinical manufacturing and clinical supply chain challenges.","solutionApproach":"Pfizer and AWS created the Pfizer-Amazon Collaboration Team (PACT) initiative in 2021, applying AWS analytics, ML, compute, storage, security and cloud data warehousing capabilities. Early experimentation led to Amazon Kendra for enterprise search; PACT teams later adopted generative AI, accessing Anthropic's Claude 2.1 through Amazon Bedrock via an internal voice/chatbot platform called Vox. A separate PACT prototype uses Amazon SageMaker, Amazon Lookout for Equipment and Amazon Lookout for Metrics to detect anomalies in Pfizer's Portable Continuous Miniature and Modular (PCMM) manufacturing process.","businessValue":"Pfizer estimates that scientists could save up to 16,000 hours of searching and extracting data annually, and estimates a 55 percent reduction in infrastructure costs. Five of PACT's initial 14 projects have moved into production.","evidence":{"band":"high"},"sourceUrl":"https://aws.amazon.com/solutions/case-studies/pfizer-PACT-case-study","dates":{"publishedAt":"2026-08-19T07:59:56.654Z","publishedAtSource":"pipeline","updatedAt":"2026-08-19T07:59:56.654Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/pfizer-saves-16-000-hours-annually-with-generative-ai-search-through-the-pact-initiative. Bulk republication requires permission."}