What does it take to move generative AI from a simple chatbot to a powerful, scaled enterprise workflow? In this episode of Executive Insights, Michael Krantz (Editor-in-Chief at Box) sits down with Box AI Architects Alex and Gilbert to discuss the evolving role of Forward Deployed Engineers (FDEs). Discover how organizations are breaking the "chat box paradigm" to integrate large language models (LLMs) into deterministic business processes. Alex and Gilbert share real-world success stories—including how they helped a customer increase their medical chart data extraction accuracy from 70% to over 90% (and targeting 99%+) through rigorous prompt engineering and process re-engineering. Learn why enterprise context, robust evaluation frameworks (e-vals), and empowering line-of-business staff are the ultimate differentiators for successful AI adoption. Key topics covered: The transition from step-based automation to autonomous thinking agents. Why LLMs require deep enterprise context to produce specific business outcomes. How to break down complex workflows into atomic, manageable components. The critical role of human-in-the-loop validation for authenticity and quality. Practical advice for planning and architecting your organization's AI program.

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