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Pharmaceutical Manufacturing
Amazon CloudFront, Amazon Bedrock, Amazon RDS, Amazon Bedrock AgentCore
A unified conversational AI platform for enterprise-wide self-service knowledge discovery.
The client is a global pharmaceutical and life sciences company with integrated capabilities across research, development, manufacturing, and distribution. Operating across pharmaceuticals, drug discovery, and novel drug development, it delivers a diverse range of products and solutions trusted by leading pharmaceutical organizations worldwide.
Reduction in information retrieval time
Response relevance accuracy
Response relevance accuracy
Employees spent significant time searching across fragmented platforms for documents, HR policies, structured data, and real-time information, with structured data access often requiring technical expertise. This fragmentation reduced productivity and made it difficult to obtain quick, accurate insights from a single interface.
• Secure web interface via Amazon CloudFront with authentication and role-based access managed through Amazon Cognito.
• Amazon Bedrock AgentCore Identity validates requests, ensuring only authorized users access AI agents and backend services.
• Orchestrator Agent routes queries to specialized agents using Amazon Bedrock AgentCore with Strands Agents.
• General queries handled by Amazon Bedrock foundation models for context-aware conversational responses.
• Document Retrieval Agent performs semantic search on S3-stored documents indexed as embeddings in Amazon RDS (VectorDB).
• SQL Generation Agent converts natural language to SQL, executes on Amazon RDS, and summarizes results.
• MCP-layer integrations enable real-time access to HR Policy services and SerpAPI web search.
• AgentCore manages agent hosting, conversational memory, identity, and observability.
• Enterprise data stored securely in Amazon S3 and Amazon RDS.
• Governance enforced via AWS IAM, Amazon CloudWatch, AWS CloudTrail, AWS Secrets Manager, and AWS CloudFormation.
Reduced information retrieval time by 70%, improved productivity by 40%, and achieved 90%+ response accuracy through a unified conversational AI platform with sub-second latency, multi-format outputs, and strong governance.
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