The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Enterprise AI agents suffer from a trust deficit due to unreliable business context, despite rapid RAG implementation. A majority of organizations report confident but incorrect answers stemming from missing or inconsistent data, highlighting a critical "context gap." While a governed semantic layer is emerging as the solution, most enterprises are still in the process of building it, leading to authoritative-sounding agents on an untrusted foundation.

Opening Kapyn…