VIDEO

AI projects often fail because the use case was never clearly broken down in the first place

Across extensive enterprise implementations, we’ve found that successful AI deployment often hinges not on the model or the technology, but on whether the business use cases are truly broken down. At Zenava UserDay, Tianrun Rongtong’s ZENAVA Evangelist Team shared real-world examples explaining why, before putting an Agent into production, you must first complete use-case decomposition—so that knowledge, workflows, and outcomes can form a closed loop.