
Amit Shivpuja identifies a missing documentation layer as the root cause of inconsistent AI outputs in enterprises. The Stanford AI Index reports 55% of companies have AI in production and PwC found one-third of CEOs see AI results. AI fails not due to model weakness but because business rules and data context are not captured in structured, machine-readable formats. The issue arises when AI cannot interpret unstructured knowledge from Slack threads or outdated product documents.
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What Companies Get Wrong About Agentic ERP
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