Fixing What Automation Missed: How Agentic AI Resolves Innovation and Automation Debt in Life Sciences

AI’s rapid evolution is revolutionizing the life sciences sector. After significant generative AI-enabled advances, enterprises are now witnessing the rise of agentic AI – autonomous systems capable of independent decision-making and action execution. However, many life sciences organizations grapple with legacy decision-making processes, fragmented data ecosystems, and innovation debt that hinder their competitive advantage.
This report explores the strategic significance of agentic AI adoption, highlighting lessons learned from generative AI integration and detailing the unique opportunities and challenges associated with deploying autonomous AI systems. Key findings from industry surveys reveal gaps in readiness, data quality issues, regulatory complexities, and organizational readiness that enterprises must address.
The report further delves into best practices to integrate agentic AI, including establishing robust governance frameworks, securing executive sponsorship, upskilling workforces, and conducting focused pilot programs. It highlights that leading organizations distinguish themselves by demonstrating the confidence to trust autonomous AI to drive outcomes once considered beyond reach.