A Generative AI Maturity Model for Drug Development

In today’s fast-paced pharmaceutical industry, generative AI (Gen AI) is rapidly emerging as a transformative tool, much like Excel revolutionized business operations in its early days. Organizations can build a dynamic, evolving portfolio of AI capabilities for the drug development lifecycle. This article introduces a Gen AI capabilities maturity model to guide companies through the stages of AI implementation from simple foundational tasks to highly complex, data-driven workflows. We emphasize the importance of treating AI use cases as living products, evolving with business needs and technological advancements, while also addressing common challenges, such as managing expectations and leveraging existing data structures for AI optimization. This article provides a robust framework and real-world paradigms to help pharmaceutical organizations unlock Gen AI’s potential—an indispensable read for those aiming to lead in digital innovation.