Customer Stories
Secure, compliant RAG ecosystem for global teams
Secure and Consistent Knowledge Access for a Global Pharmaceutical Organization Through a Multi-Agent, Azure-Based RAG Platform.
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About the Organization
The client is a global pharmaceutical company producing scientific content, medical communication materials, and marketing assets across multiple therapy areas. Teams rely on extensive research documents, clinical summaries, and large SharePoint repositories to carry out daily work.
With fast-moving deliverables and distributed teams, the organization needed a more reliable and secure way to access internal knowledge.
Teams frequently used external AI tools to summarize
documents, draft notes, or prepare materials, resulting in
inconsistent outputs, compliance concerns, and data exposure
risks.
The organization sought a unified internal solution that
enabled secure access to SharePoint content, consistent LLM
outputs, and complete governance over how AI was used.
Why
A secure multi-agent Retrieval-Augmented Generation (RAG) platform was developed on Azure to help employees retrieve insights from their SharePoint documents, access approved external references when needed, and generate consistent outputs aligned with internal guidelines.
What
The platform uses coordinated AI agents that retrieve information from SharePoint, consult approved external sources when explicitly requested, and update content where permitted. All processing and generation occur within the organization’s Azure environment, with standardized system prompts ensuring consistency and full observability capturing every retrieval step, agent action, and response for audit and governance.
How
Before the Project
Before this solution, teams relied on manual searching across large SharePoint structures and often pasted confidential documents into external AI tools to generate summaries or content. This led to inconsistent messaging, duplicated effort, lack of standardized communication, and significant compliance risks. Moreover, leaders had no visibility into what information employees accessed, how AI tools were being used, or whether outputs aligned with scientific and regulatory guidelines.
The Solution
A dedicated Azure-based multi-agent RAG system was implemented to address these challenges.
- Multi-Agent Architecture: Specialized agents handle retrieval from SharePoint, web access when allowed, and content updates, while a coordinator agent orchestrates interactions to ensure accuracy and compliance.
- Automated Document Understanding: GPU-powered container apps process documents, extract tables and structured content, and transform them into searchable insights.
- Project-Level Access Control: Retrieval respects the organization's SharePoint folder structure, ensuring users only access content they are authorized to view.
- Consistent, Compliant Responses: Standardized prompts enforce scientific accuracy, brand-aligned tone, and regulatory messaging across all outputs.
- Complete Observability: Every AI action—retrieval, agent tool use, external referencing, and final generation—is logged, providing full auditability for compliance teams.
- Fully Secure Azure Deployment: All data ingestion, indexing, and LLM execution run entirely within the organization's Azure environment.
The Impact
The new platform has transformed how teams work with internal scientific and marketing content:
- Secure, compliant access to SharePoint documents without external tools
- Consistent, high-quality responses aligned with internal standards
- Reduced manual effort in searching and summarizing content
- Strengthened governance through project-based access control
- Full observability for audits and compliance reviews
- Intelligent, tool-aware interaction enabling retrieval, reference, or updates as needed
The organization now benefits from a unified, secure, and fully governed knowledge access system powering faster and more consistent work across global teams.
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