The AI Innovation Circle for Life Sciences | Episode 7

Governance for Agentic AI Trust, Compliance & Human Oversight at Scale

How do you safely deploy agents in regulated environments?

Join fellow Life Sciences, Quality, Regulatory, Manufacturing and AI leaders for a discussion on the governance capabilities required to safely deploy AI and autonomous agents in regulated environments. As organizations move from AI-assisted insights to AI-driven actions, governance becomes essential for facilitating transparency, compliance, accountability and trust across enterprise workflows.

Learn how leading organizations are implementing human-in-the-loop review, audit trails, explainability, provenance tracking, role-based security and workflow monitoring to support responsible AI adoption. Discuss practical strategies for meeting GxP requirements, maintaining regulatory readiness and establishing the governance frameworks needed to confidently scale AI across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial operations.

Browse All Episodes

Date: April 21, 2027

Time: 3:00 p.m. ET

Audience: Senior Leaders Across R&D, Clinical Development, Regulatory Affairs, Medical Affairs, Data & AI and Information Management

Key takeaways

Establish Governance as the Foundation for Scalable AI
Learn why AI governance, human oversight and clear accountability frameworks are essential for deploying AI and autonomous agents in regulated life sciences environments
Facilitate Transparency, Compliance and Regulatory Readiness
Understand how audit trails, explainability, provenance and workflow monitoring help organizations meet GxP requirements, support inspections and build confidence in AI-driven decisions and actions
Enable Secure and Responsible AI Adoption
Discover how role-based access controls (RBAC), security policies and human-in-the-loop review mechanisms help organizations safely scale AI while protecting sensitive information and maintaining compliance

Episode 01 | July 14, 2026

The Foundational Workshop in an Enterprise AI Series

Join, Discuss & Learn

Join fellow Life Sciences, quality, regulatory, manufacturing and AI leaders for an interactive discussion on the governance frameworks required to safely scale AI and autonomous agents in regulated environments. As organizations move beyond experimentation and into production, success depends on establishing the controls, oversight and transparency needed to facilitate AI that remains trustworthy, compliant and aligned with business and regulatory requirements.

Learn how leading organizations are implementing human-in-the-loop review, audit trails, explainability, provenance tracking, RBAC and workflow monitoring to support responsible AI adoption. Discuss practical approaches for balancing innovation with compliance, enabling AI-driven efficiency while maintaining the governance, accountability and regulatory readiness required across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial operations.