The Architecture Behind Business Transformation: How WEX Built an AI-Native Data Platform

About this session

Session Description: What does it take to move from experimenting with AI to building an enterprise that is truly AI-native? This talk presents a practical architecture for connecting trusted data, semantic objects, business context, ontology, governance, and agentic orchestration into one cohesive foundation for enterprise AI. The session will explore why traditional data platforms are not enough for agentic systems, and how an AI-native data architecture must make enterprise data understandable, actionable, governed, and reusable. Attendees will learn how each architectural layer contributes to scaling AI—from data acquisition and certified datasets to semantic modeling, context engineering, control planes, and AI-powered products and workflows. The talk will provide a blueprint for organizations looking to turn data platforms into enterprise knowledge systems that can support trusted automation and measurable business outcomes.