#FutureReadyHealthcare
Indegene Helps Global Pharma Optimize Cost by 25% With GenAI
The Customer
A leading global pharmaceutical company recognized the imperative to integrate Generative AI (Gen AI) into its operations to enhance efficiency, optimize costs, and maintain a competitive edge in an industry undergoing rapid technological transformation. However, the complexity of seamless AI adoption posed significant challenges. Indegene, with its deep expertise in AI-driven transformation, partnered with the organization to develop a structured approach. By identifying key challenges, prioritizing high-impact use cases, and establishing a strategic roadmap for scalable AI integration, Indegene's expert consulting provided the foundation for a successful and sustainable digital transformation.
Challenges
The organization faced several key challenges:
Uncertainty Around Use Cases: With AI's vast potential cutting across multiple functions, the company struggled to pinpoint the most impactful areas for implementation. Leadership grappled with questions around whether AI be used for content generation, data analysis, or customer engagement, and which use cases would yield the quickest wins while laying the groundwork for long-term transformation.
Prioritization and Allocation Dilemma: With a sea of AI possibilities ahead, the company struggled to chart a course. Which initiatives would deliver immediate impact? Which required longterm investment? Without a structured roadmap, resources risked being spread too thin, and highvalue opportunities could be overlooked. The absence of clear prioritization threatened to stall progress before it even began.
Quantifying Value & ROI: Leadership sought more than just optimism— they needed concrete proof of tangible benefits could Gen AI deliver, as well as how and when investments would translate into measurable gains in efficiency and cost savings. Without a clear, data-backed assessment, committing to large-scale adoption felt like a leap of faith rather than a strategic move.
Pilot Before Scale: The company knew that diving headfirst into AI without a well-tested strategy could lead to costly missteps. They needed a trusted partner to help them validate their ideas—experimenting with proof-of-concept (PoC) initiatives that would serve as a blueprint for broader AI integration. Only by refining and proving these solutions in controlled pilots could they confidently scale AI across the enterprise.
The Solution
Recognizing these challenges, Indegene implemented a dedicated and structured consulting and implementation framework to accelerate AI adoption through focused initiatives, including designing an overall strategy and roadmap, setting up an incubator for AI-driven transformation, enabling rapid prototyping, deployment, and scaling of solutions tailored to the organization's business objectives. These included:
Generative AI Registry: To streamline AI adoption, Indegene established a Generative AI Registry—a centralized hub designed to track, manage, and optimize Gen AI use cases. This repository served as both a strategic framework and a collaborative space, enabling cross-functional teams to generate ideas and explore AI solutions for pharma in various business functions. By systematically identifying and prioritizing highimpact use cases with immediate ROI, the registry ensured that AI investments were both technically feasible and aligned with overarching business goals. This structured approach accelerated execution, minimized redundancy, and laid the foundation for scalable AI transformation.
Prototyping & Deployment: To ensure the seamless integration of AI-driven use cases, Indegene established a dedicated PoC Engine—a structured pipeline for assessing, refining, and validating AI solutions. Through agile prototyping, the organization could rapidly test and iterate on AI-powered innovations, adapting them to real-world business needs. Comprehensive training and support ensured that teams could integrate these solutions effortlessly into existing workflows, minimizing disruption while maximizing impact. To track success and fine-tune performance, key metrics and KPIs were continuously monitored, providing actionable insights that informed iterative improvements and scaled deployment.
Scaling AI Operations: Once AI pilots demonstrated success, Indegene focused on embedding these solutions into enterprise-wide operations, ensuring their full-scale adoption. By integrating Gen AI into daily workflows, the company unlocked sustainable efficiency gains while maintaining flexibility in execution. A structured change management approach was implemented to drive user adoption and mitigate resistance, ensuring that teams were equipped and motivated to leverage AI effectively. To sustain long-term success, a robust governance model was established, fostering continuous optimization and innovation across the organization.
Transforming Content and Creative Operations
Revolutionizing Video and Content Production: AI-powered tools streamlined content creation by automating storyboarding, video editing, and asset generation. These advancements reduced turnaround times and production costs while enabling rapid adaptation of existing content for diverse markets. Additionally, prompt-based AI authoring allowed for faster development of campaign materials, ensuring agility in content delivery
Enhancing Creative and Expanding Digital Engagement: AI-driven design and image localization optimized creative workflows, allowing for tailored global campaigns with minimal manual effort. Automated creative editing further enhanced production efficiency, ensuring high-quality outputs at scale. Beyond traditional formats, Indegene introduced AIpowered podcasts and avatar-based video generation, opening up new avenues for digital engagement and personalized audience experiences.
Outcomes
By adopting a structured consulting approach and scalable AI implementation strategy, Indegene enabled the organization to fully leverage the capabilities of Generative AI in pharma. The success of the AI incubator not only enhanced current operations but also established a strong foundation for future AI-driven innovation. As the organization advances in its digital transformation journey, AI continues to serve as a critical driver of efficiency, growth, and competitive differentiation.
The automation of content creation significantly accelerated production timelines, increasing overall productivity. Reduced reliance on external agencies translated into substantial cost savings, allowing for the strategic reallocation of resources. Additionally, AI-powered content generation empowered the organization with greater agility and control, minimizing dependence on third-party vendors and fostering a more streamlined, selfsufficient operational model.
40% ↑
Increase in efficiency
25% ↑
Cost optimization
50% ↓
Reduction in agency dependence
