Indegene’s RAG GenAI solution drives 60% faster reporting for a global pharma leader

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The Customer

A leading global pharmaceutical company was looking to streamline business analysis, reporting, and insight generation across multiple verticals using Generative AI (GenAI). With operations spanning various therapeutic areas, the company aimed to leverage AI-driven insights to support faster decision-making and improve reporting efficiency.

Team reviewing data analytics on a large display

Challenges

The organization faced several key challenges that hindered their ability to generate timely and actionable insights:

  1. Off-the-shelf AI solutions lacked the security measures needed to process sensitive company data.

  2. Teams struggled to determine whether the information they required was available within internal resources or public sources.

  3. End-to-end workflows were fragmented, relying on disparate components from the AI ecosystem, leading to complexity and delays.

  4. The output from generic, off-the-shelf AI tools failed to meet the specific needs of the life sciences domain.

The Solution

Indegene developed a customized RAG (Retrieval-Augmented Generation) as a Service solution tailored to the organization’s specific needs. Key components of the solution included:

Agentic RAG with Knowledge Graphs:

Integrated knowledge graphs with a tailored RAG system to ensure high recall and domain-specific search accuracy.

Custom RAG Pipelines with Multi-modal LLMs:

Built specialized RAG pipelines using AI platforms, Python scripts, and LLM agents for comprehensive data processing.

CRAFT Framework for Use-Case Prioritization:

Evaluated 39 potential use cases, prioritizing 7 with the highest ROI based on the CRAFT framework

Pharma Context and In-Context Learning:

Applied domain-specific prompts and in-context learning models to capture life sciences nuances effectively.

RAG Value Mapper:

Ensured relevant data points were captured and displayed in a user-friendly format, enhancing usability for reporting teams.

Outcomes

Indegene’s tailored RAG-based solution enabled the organization to significantly improve reporting efficiency and operational outcomes. By streamlining workflows and enhancing data accessibility, the organization achieved faster insight generation and increased reporting capacity. The RAG as a Service solution also significantly reduced average report generation time across the 7 prioritized use cases and doubled the number of business reports published during the evaluation period through automated processes and efficient manual reviews.

60%

faster report generation time

2x

increase in reports published

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