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:
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.
AI value depends on timing, fit, and trust
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.
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.
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.