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

A recent study reveals that 57% of enterprises experienced incorrect answers from AI agents due to missing context. Retrieval-augmented generation is the primary context source for 38% of companies, leading to errors that undermine agent authority. While a governed semantic layer is being developed, most companies are still in the building phase, highlighting the urgent need to strengthen infrastructure for reliable context.