When it comes to AI-powered PV ops, case intake and ICSR processing was just the beginning. While these capabilities are becoming foundational, the greatest opportunities for transformation now lie beyond intake. Today, leading safety teams are leveraging AI to transform the entire downstream PV landscape.

As safety organizations face growing data volumes, evolving regulatory expectations, and increasing pressure to make proactive risk decisions, attention is shifting toward AI capabilities that can support the broader pharmacovigilance ecosystem. Emerging advances in generative and agentic AI are enabling organizations to move beyond task automation toward orchestrated, data-driven safety operations.

Join this session to explore how leading life sciences organizations are extending AI across signal management, medical review, safety reporting, quality oversight, and regulatory compliance. Discover how next-generation AI can connect PV operational data, case histories, medical assessment rationale, quality findings, and compliance indicators to create actionable decision intelligence for post-market surveillance and performance management.

Learn how advanced AI-powered capabilities can help safety teams cut through growing volumes of data, surface meaningful insights faster, improve cross-functional collaboration, and support more proactive benefit-risk monitoring. We’ll also discuss practical approaches for balancing automation with human expertise while building a scalable, future-ready strategy for pharmacovigilance transformation.

Discover:

• Why the industry’s AI focus is expanding beyond intake and data extraction
• How AI can connect disparate safety, quality, and compliance data to deliver decision intelligence
• Approaches for improving efficiency across safety reporting and regulatory activities
• How to leverage operational and compliance insights to strengthen post-market surveillance
• Key considerations for responsibly scaling AI across the pharmacovigilance value chain