The AI Innovation Circle for Life Sciences | Episode 6

Designing Agentic Workflows from Copilots to Autonomous Work Execution

How do agents reason, plan and act?

Join fellow business, data and AI leaders as we explore the next evolution of enterprise AI: moving beyond answering questions to executing work. This workshop examines how agentic AI systems reason, plan, retrieve information, make decisions and orchestrate actions across complex business processes while remaining aligned with governance, compliance and human oversight requirements.

Learn the differences between copilots and autonomous agents, how agentic workflows are designed and monitored and why semantic context is critical for safe and reliable execution. Discuss real-world approaches for combining AI, human approval gates, role-based access controls (RBAC) and enterprise governance to enable intelligent automation across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial operations.

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Date: March 10, 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

Understand the Difference Between Copilots and Agents
Learn how AI is evolving from systems that answer questions to agents that can reason, plan, make decisions and execute work across enterprise processes
Design Safe and Governed Agentic Workflows
Explore how human approval gates, workflow monitoring, RBAC and governance frameworks help facilitate AI agents to operate responsibly and compliantly
Use Semantic Context to Improve Decision-Making
Discover how taxonomies, ontologies, knowledge graphs,and enterprise context layers provide the trusted business understanding agents need to act accurately, safely and effectively across complex workflows

Episode 01 | July 14, 2026

The Foundational Workshop in an Enterprise AI Series

Join, Discuss & Learn

Join fellow Life Sciences, data and AI leaders for a discussion on the next stage of enterprise AI: moving from AI-generated answers to AI-driven work execution. Explore how intelligent agents reason, plan, retrieve information, make decisions and orchestrate actions across complex business processes while operating within governance, compliance and human oversight requirements.

Learn how leading organizations are designing agentic workflows that combine AI automation with human approval gates, workflow monitoring and RBAC. Discuss how semantic context, knowledge models and enterprise governance help agents act safely, transparently and effectively across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial operations.