A leading pharmaceutical company set out to change that by creating a trusted AI experience built on connected medical knowledge.
The organization wanted to improve access to medical information for healthcare professionals, including product information, contraindications, adverse effects, drug interactions, and reimbursement status.
Medical information was distributed across disconnected sources, making it difficult to provide fast, reliable, and source-grounded answers. The company needed a solution that could connect fragmented knowledge, support regulatory requirements, and reduce the risk of unsupported AI responses.
We implemented an Enterprise Context Layer on Microsoft Azure through our Contextual AI Factory, connecting trusted medical sources, business rules, and pharmaceutical relationships into a unified AI-ready foundation. The solution powers an AI Medical Assistant that delivers source-grounded answers with citations, a complete audit trail, and built-in governance controls. It can also surface relevant, compliant product education and promotional content based on the healthcare professional’s query.
By transforming fragmented medical knowledge into a connected context layer, the company gave healthcare professionals faster access to trusted information, created new opportunities for compliant, context-aware engagement, and established a scalable foundation for future AI innovation.
90%+ benchmark accuracy rate across 300+ representative medical questions, with answers matching expected, source-verified content and containing no unsupported statements
Answers delivered in approximately 25 seconds
24/7 access to trusted medical information
Source-grounded, auditable responses with citations and a complete audit trail
Designed to cost approximately $0.10 per query, supporting cost-efficient scalability
Production-ready AI foundation for future healthcare AI use cases