How AI Agents Are Reshaping Life Sciences Workflows
Discover how AI agents are transforming life sciences workflows — from complex regulatory tasks to automated knowledge processes.
In this Ask the Experts session, John Zhang, Senior ServiceNow Architect and industry MVP, walks through real-world strategies for designing and deploying AI agents within the life sciences sector. Hosted by Alan Andreas, this webinar provides a hands-on look at how ServiceNow’s Agent Studio enables intelligent orchestration across workflows.
Unlike scheduled flows or GenAI-driven scripts, John explains how AI agents can reason, adapt, and act autonomously — making them ideal for high-complexity environments like pharma, biotech, and clinical research.
In This Session:
- How AI agents differ from traditional automation tools
- Architecture of ServiceNow’s AI Control Tower and orchestration models
- Step-by-step demo: Using AI agents to search, retrieve, and update knowledge articles
- Example use cases in deviation management, clinical operations, and quality control
- When to choose supervised vs. autonomous AI agent
If you’re looking to connect the dots between theory and execution, also read the blog Unlocking the Power of ServiceNow’s Agentic AI in ProcessX, which outlines how USDM is applying these capabilities today across compliance-heavy environments.
To continue the discussion and access additional resources, join the ServiceNow Life Sciences Community, where John and other experts regularly share their insights.
