Presentation

Presentation: MSI Webinar: Agentic AI for Frontline Decision-Making: When Should Customer Conversations Stop?

Eva Ascarza

Harvard University

Apr 9, 2026

Frontline employees constantly face a difficult judgment call: whether to continue a customer conversation or move on. Persist too long and valuable time is lost; disengage too early and promising opportunities may slip away. 

In this webinar, we introduce a new agentic AI approach to real-time decision-making in customer interactions. Rather than generating scripts or replacing employees, an AI “stopping agent” observes live conversations and decides whether the interaction should continue or end. 

We will discuss how generative AI can be trained to make sequential decisions under uncertainty and what this emerging class of action-oriented AI agents could mean for sales and customer-facing operations. Join us to learn how AI may help organizations rethink how frontline time and attention are allocated. 

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