AI agents aren't confidently wrong because of bad context — they're wrong because of bad data engineering

VentureBeat

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You spend weeks tuning an AI chatbot. Answers are accurate. Stakeholders sign off, and you ship it. Three months later, the system is confidently wrong about a third of what users ask. Nobody changed the model, and nobody touched the prompts. The world moved, pricing changed, a policy updated, a product spec shipped a new version, and the underlying knowledge store didn't move with it.This is not a hypothetical. It's one of the most common production failure modes in enterprise AI right now, and