Agentic AI in Life Sciences Where Governance Is Non-Negotiable

Summary:

Agentic AI is reshaping Life Sciences workflows across patient and donor eligibility, clinical trial recruitment, and quality batch release.

These are connected stages of one journey: qualify, recruit, manufacture, and release safely. In this Between 2 Bots webinar, Ahmed Zaidi, CEO of Accelirate, speaks with Joe Miles, Industry Head for Life Sciences at UiPath, about deploying agentic AI in regulated, high-stakes environments.

• See where agentic AI fits across Life Sciences operations
• Learn why governance, oversight, and auditability matter
• Understand the shift from rule-based automation to adaptive AI agents

What You’ll Learn

• How agentic AI supports eligibility, recruitment, and batch release
• Why regulated workflows require stronger governance and traceability
• How AI agents can improve speed, consistency, and control
• What Life Sciences teams should consider before scaling agentic AI

Why This Matters Now

In Life Sciences, automation mistakes can delay treatment, exclude eligible participants, create compliance risk, or impact release decisions.

Agentic AI can help teams move faster, but only when deployed with control, validation, and auditability.

Who It’s For

• Life Sciences executives
• Clinical operations and trial recruitment leaders
• Quality, manufacturing, and batch release teams
• Patient services and donor eligibility teams
• AI, automation, data, and governance leaders

What’s Being Discussed

• Patient and donor eligibility
• Clinical trial recruitment
• Quality and batch release
• RPA to agentic AI
• Governance, oversight, and auditability

Take a Look

Agentic AI in Life Sciences is not just about automation. It is about scaling intelligent systems safely across regulated workflows.

Meet the Speakers