Ben Kus

This talk explores Box's journey in building an agentic platform, focusing on how agentic approaches can solve complex data extraction challenges that traditional methods and basic LLM calls struggle with. The core thesis is that an agentic abstraction layer provides a clean, flexible, and evolvable architecture for tackling sophisticated AI tasks, moving beyond simple chatbot interactions to orchestrate complex workflows.