Life Sciences GCCs are at an inflection point – shifting from cost-efficient delivery centers to AI-enabled innovation hubs driving patient-centric, enterprise-wide value.

Leaders face a shift from AI experimentation to enterprise-scale execution. This requires establishing GCCs as global centers to operationalize AI, digital platforms, and intelligent automation across business and IT services – while maintaining regulatory integrity, GxP compliance, responsible AI adoption, operational resilience, and sustained agility.

Infosys Topaz Fabric™ is Infosys’ unified foundation for generative and agentic AI, enabling enterprises to build, govern, and scale AI across Client.AI and Services.AI – accelerating GCCs from experimentation to production.

Built on this foundation, Infosys’ AI First GCC Model – powered by Agentic Foundry and EdgeVerve AI Next – helps life sciences enterprises transform GCCs into enterprise AI platforms, operationalizing production-grade Agentic AI across business and IT.

Join Infosys for an exclusive gathering of Pharma, Biotech, and MedTech leaders to explore how GCCs can evolve into AI-first, agent-driven innovation hubs at the intersection of science, data, and technology.

• Design, build, scale, and evolve capability centers: that are deeply aligned to business strategy. From flexible engagement models to AI-enabled services and solutions, shift focus from simply running operations well to actively shaping business outcomes.
• Reimagine GCC delivery, IT services, and operating models: by transitioning from human‑only IT delivery to Human + AI operating models across applications, infrastructure, ERP, data, enterprise functions – delivering services with greater speed, resilience and consistency.
• Accelerate scientific discovery and clinical development: by applying GenAI, predictive AI, and agentic AI workflows to support target identification, in‑silico modeling, real‑world evidence (RWE), clinical trial design, and end‑to‑end drug development acceleration
• Enable digital‑first manufacturing and resilient supply chains: by leveraging AI/ML‑driven control towers, digital twins, predictive maintenance, and autonomous planning agents to improve product quality and supply chain resilience
• Strengthen medical, regulatory, and pharmacovigilance operations: by using NLP, intelligent workflow automation, and agentic compliance agents to enhance submissions, monitoring, and signal detection at scale.
• Embed AI governance, security, and Responsible AI by design: by incorporating 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.