Driving impact in The Pharma Clinical Management space with Agentic AI models

According to Gartner , by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024.

Clinical Data Management (CDM) is at the core of modern pharmaceutical innovation—but it’s also strained by rising protocol complexity, fragmented systems, and vast volumes of untapped data.

This guide explores how Agentic AI is reshaping the CDM landscape by bringing adaptability, autonomy, and intelligence into clinical operations.

What’s Inside:

• Key pain points in today’s CDM landscape
• Real-world Agentic AI use cases across the CDM lifecycle
• A practical roadmap and blueprint for AI adoption
• Critical factors for compliance, security, and trust
• How Polestar Analytics helps pharma accelerate data-to-decision cycles

Value for You:

Gain actionable insights to shorten trial timelines, improve data quality, ensure regulatory compliance, and build a future-ready CDM ecosystem powered by agentic ai .