Featured Case Study
RAG & Knowledge AI

Engineering Pharma Compliance Intelligence

How we built a production RAG system that delivered 60% efficiency gains in pharmaceutical packaging and marketing compliance

100-Year-Old Pharma Compliance Organization
10 weeks delivery
60%
Efficiency Gain
100%
Explainability
40%
Accuracy Improvement
10 weeks
Delivery Time

The Challenge

A 100-year-old pharmaceutical compliance organization was overwhelmed with manual review of packaging materials, social media content, and marketing collateral. Their team spent weeks checking each campaign against regulatory guidelines, with no unified system to search across diverse content types and no clear audit trail.

  • Manual review of hundreds of pharma packaging and marketing materials taking weeks per compliance check
  • No unified system to search across diverse document types, social media content, and regulatory guidelines
  • Lack of traceability and citation transparency for compliance decisions across packaging, labels, and marketing
  • Need to process multimodal content: PDFs, videos, audio recordings, social media posts, and images
  • Requirement for 100% explainability to meet pharmaceutical regulatory audit standards

Our Approach

We designed and deployed a production-ready RAG system built on Azure OpenAI GPT-4o, featuring a custom 5-stage pipeline optimized for pharmaceutical compliance documents, packaging materials, and marketing content with full citation transparency.

Key Innovation

Document-type segmentation allowed us to handle each regulatory document format with specialized processing rules, improving accuracy by 40% compared to generic approaches.

Solution Architecture

Enterprise-grade RAG with multimodal capabilities

5-Stage RAG Pipeline

Custom retrieval-augmented generation architecture optimized for pharma compliance documents

Document-Type Segmentation

Intelligent classification system that improved accuracy by 40% through specialized handling

Multimodal Processing

Unified pipeline handling PDF, video, audio, and image content with consistent quality

Azure OpenAI GPT-4o

Enterprise-grade LLM deployment with security controls and audit logging

Citation Tracking

Every answer linked to source documents with page numbers and timestamps

Real-time Compliance Checks

Instant pharma packaging and marketing compliance query resolution with confidence scores

10-Week Delivery Timeline

Weeks 1-2

Discovery & Architecture

Document taxonomy, RAG design, security model

Weeks 3-5

Pipeline Development

Document processing, embedding generation, retrieval system

Weeks 6-8

Integration & Testing

GPT-4o integration, citation engine, accuracy validation

Weeks 9-10

Pilot & Handover

User training, documentation, production deployment

Measurable Results

Business Impact

60% Reduction in Review Time

What took compliance teams 2-3 weeks now completed in 2-3 days with higher accuracy

Zero Trust Issues

Citation transparency and explainability met all regulatory audit requirements

40% Accuracy Improvement

Document-type segmentation dramatically improved retrieval precision

Multimodal Capability

Unified access to text, video, audio, and image content through single interface

100% Adoption

All compliance team members actively using the platform within first month

Scalable Foundation

Architecture ready to expand to additional regulatory domains and use cases

Technology Stack

Azure OpenAI Service (GPT-4o)
Azure AI Search
Document Intelligence
Python FastAPI
React Frontend
Azure Blob Storage
Azure Monitor & Application Insights

Client Testimonial

“QueryNow delivered a production-ready AI system that transformed our compliance operations. The 60% efficiency gain was impressive, but what really mattered was the citation transparency that gave us confidence in every decision. This is the difference between a pilot and a real solution.”

VP of Compliance
100-Year-Old Pharma Compliance Organization

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