It sounds simple: “Hey AI, refresh my Salesforce data.” But what really happens when that request travels through your stack?

Using Airbyte’s architecture as a model, this talk explores the complexity behind natural language data triggers - from spinning up connectors and handling credentials, to enforcing access controls and orchestrating safe, purpose-driven movement. We’ll introduce a unified framework for thinking about all types of data movement, from bulk ingestion to fine-grained activation - a model we’ve developed to bring clarity to a space crowded with overlapping terms and toolchains.

We’ll also explore how this foundation—and any modern data movement platform—must evolve for an AI-native world, where speed, locality, and security are non-negotiable. That includes new risks: leaking credentials into LLMs, or triggering unintended downstream effects from a single prompt.

We’ll close with a live demo: spinning up a local data plane and moving data via Airbyte—simply by chatting with a bot.