Generative AI Enablement for a Global Pharma Major
Client Overview
Industry: Pharmaceuticals + Life Sciences (Top 3 Global)
Size: $45 Billion Revenue | 100K+ Employees
Regions Served: Global (Research, Manufacturing, Sales)
Engagement Model: GenAI + Knowledge Management + R&D Workflow Automation
IBU’s Role: Generative AI PoC, Secure Data Environment, Workflow Integration
The Challenge: Information Silos Across Research & Commercial Functions
The client had vast IP, clinical research, and sales knowledge trapped in PDF reports, lab notes, and emails. Manual effort to extract insights slowed time-to-market.
Pain Points:
- 3,000+ knowledge repositories with poor searchability
- Time lost in repeated research synthesis
- Inconsistent medical writing quality
- No unified knowledge base across teams
Why IBU? Enterprise-Grade GenAI at Scale
IBU’s core advantage:
- Private GenAI model training
- Secure environment with IP protection
- Integration into research, med affairs, and compliance functions
The Solution: AI That Reads, Summarizes & Advises
Phase 1: GenAI Model Training
- Fine-tuned LLMs on internal clinical, legal, and medical literature
- Custom summarization for regulatory submissions and internal reports
Phase 2: Unified Knowledge Layer
- Created a searchable, AI-augmented portal
- Integrated with SharePoint, Confluence, and Documentum
- Embedded citation tracking and human-in-the-loop validation
The Metrics: What We Delivered
The Metrics:
Metric | Before IBU | After 6 Months |
Time to Generate Med Reports | 4 days | 6 hours |
Document Search Time | 20 min avg | <1 minute |
Cross-Team Collaboration | Low | +64% increase |
“Our R&D teams now spend less time searching and more time innovating.”
