Travelers no longer respond to generic journeys dressed up as personalization. They expect every interaction to reflect their needs, context, and intent in the moment. That requires more than content generation or send-time optimization. It requires a fundamentally different kind of AI architecture.

In this session, Aampe Chief Scientist and Co-Founder Schaun Wheeler offers an insider’s view into what makes an agentic system truly intelligent. Through travel-relevant examples, he will show why many so-called AI decisioning platforms still fall back on outdated methods, and what it takes to build systems that continuously learn, adapt, and act at the level of the individual traveler.

In this session, you’ll learn how to:

• Recognize the difference between workflow automation and true agentic infrastructure

• Understand why traditional personalization approaches are falling short with today’s travelers

• Evaluate whether an AI system is actually learning at the individual customer level

• Ask the right questions about architecture, experimentation, and data requirements before you buy

• Reframe customer engagement around prioritizing each traveler, not just optimizing campaigns