{"slug":"using-amazon-bedrock-agents-to-accelerate-decisions-across-drug-development-at-astrazeneca","url":"https://findausecase.com/use-cases/using-amazon-bedrock-agents-to-accelerate-decisions-across-drug-development-at-astrazeneca","title":"Using Amazon Bedrock Agents to Accelerate Decisions Across Drug Development at AstraZeneca","description":"AstraZeneca built Development Assistant, a multi-agent AI tool using Amazon Bedrock Agents, that lets clinical, regulatory, safety and quality teams ask natural language questions and get insights from structured and unstructured data in seconds via text-to-SQL generation and retrieval-augmented generation. A supervisor agent routes queries to specialized subagents (terminology, clinical, regulatory, database). Built on AstraZeneca's Drug Development Data Platform (3DP), the tool moved from concept to production in 6 months, including cybersecurity and AI governance checks, and is scaling to over 1,000 users.","company":"AstraZeneca","industry":"Pharmaceuticals","aiCapabilities":["Agentic AI","Generative AI","Retrieval-Augmented Generation","Natural Language Processing"],"technology":["Amazon Bedrock Agents","Amazon Bedrock","Text-to-SQL"],"deployment":"Public Cloud","problemStatement":"The global nature of AstraZeneca's clinical trial programs resulted in disparate systems, creating bottlenecks in analysis and decision-making; clinical teams spent hours manually compiling answers to questions like “Where are the highest-performing trial sites?” in an environment where speed to insight is essential.","solutionApproach":"AstraZeneca collaborated with AWS to build Development Assistant, a multi-agent AI tool using Amazon Bedrock Agents that lets clinical, regulatory, safety and quality teams ask natural language questions and get insights from structured and unstructured data in seconds via text-to-SQL generation combined with retrieval-augmented generation. A supervisor agent routes queries to specialized subagents, including a terminology agent, clinical agent, regulatory agent and database agent. The solution is built on AstraZeneca's Drug Development Data Platform (3DP), which ingests and aligns data from clinical, regulatory, quality and safety source systems with common vocabularies.","businessValue":"Development Assistant moved from concept to production in only 6 months, including cybersecurity and AI governance checks, and is scaling to over 1,000 users. Insights that once took hours are now available in minutes, and the system provides full transparency by showing which data tables were accessed and how results were generated.","evidence":{"band":"high"},"sourceUrl":"https://aws.amazon.com/solutions/case-studies/astrazeneca-case-study","dates":{"publishedAt":"2026-08-16T13:32:23.622Z","publishedAtSource":"ledger","updatedAt":"2026-08-16T13:32:23.622Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/using-amazon-bedrock-agents-to-accelerate-decisions-across-drug-development-at-astrazeneca. Bulk republication requires permission."}