Global Capability Centers (GCCs) in the Life Sciences industry are at an inflection point. Traditionally positioned as cost‑efficient delivery and support centers, GCCs are now evolving into AI‑enabled innovation hubs—serving as core engines for patient‑centric transformation and enterprise‑wide value creation.

The key challenge faced by leaders today is establishing their GCCs as the hubs for integrating AI, digital platforms, and advanced analytics at scale, while safeguarding regulatory integrity, GxP compliance, responsible AI adoption, operational resilience, and sustained business agility, with patient outcomes as the ultimate north star.

Infosys’ AI-First GCC Model empowers enterprises to reimagine their GCCs as strategic assets that drive innovation, agility, and competitive advantage in an AI-first world. Leveraging Infosys Agentic Foundry, EdgeVerve AI Next platform, and Infosys Topaz™, we help embed production-grade agentic AI across GCC operations, from setup to scale.

Join Infosys for an exclusive event with leaders and peers from the Pharma, Biotech, and MedTech industry to explore how organizations can move beyond traditional GCC models to build future‑ready, AI‑first patient-centric innovation hubs operating at the intersection of science, data, and technology. In this event, we will feature insight‑driven discussions, peer learning, and real examples of how GCCs can empower your organization to:

• Accelerate scientific discovery and clinical development: Apply GenAI, predictive AI, multimodal analytics to support target identification, in‑silico modeling, real‑world evidence (RWE) generation, clinical trial design & optimization, and accelerate the end-to-end drug development process.
• Enable digital‑first manufacturing and resilient supply chains: Leverage AI/ML‑driven control towers, digital twins, predictive maintenance, autonomous planning to improve product quality, manufacturing throughput, end‑to‑end supply chain resilience.
• Strengthen medical affairs, regulatory, and pharmacovigilance operations: Use NLP, intelligent workflow automation, centralized data lakes to enhance safety monitoring, regulatory submissions, signal detection, and evidence generation at scale.
• Reimagine GCC operating models and talent strategies: Transition from linear, human‑only delivery models to Human + AI collaboration, embracing agentic operating models, platform‑led services, new AI‑ready roles that blend scientific, technical, digital expertise
• Embed AI governance, security, and responsible AI by design: Incorporate emerging AI governance standards, data integrity controls, cybersecurity, and responsible AI frameworks to meet global regulatory, compliance, and ESG expectations.

You’ll also have an opportunity to exchange perspectives with fellow GCC leaders who are driving similar large‑scale change. We invite you to join us and shape the next chapter of transformation.