How do you decide which AI investments are worth making before your first launch?
Learn practical frameworks that help you decide which use cases are worth pursuing and how AI and your team work together.
Beghou’s Rahul Chouhan and Nicole Ventrone will be joined by Troy Unfried, Executive, Commercial Leader to discuss:
- Identifying which AI use cases to pilot, sequence, or defer
- Prioritizing investments based on value and organizational readiness
- Determining where AI belongs in the workflow and where people should lead
- Connecting AI initiatives to launch-critical commercial and medical milestones
We'll also explore real scenarios that illustrate where AI is creating value for commercialization and how to determine what those are for your organization.
Key takeaways from the session:
AI value depends on timing, fit, and trust
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AI should earn a larger role over time.
Start with focused, supervised work that builds confidence, then expand as data, governance, workflows, and adoption mature.
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The best AI use case is not always the most advanced one.
Value comes from fit: choosing opportunities that match the work, the workflow, and the organization's readiness.
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Trust is what turns AI output into business action.
Teams need clear inputs, review expectations, human accountability, and operating routines that move AI-supported insights into decisions.