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

Enterprises are rushing to build infrastructure for AI agents faster than they can ensure its reliability, leading to a trust issue rather than a retrieval problem. While retrieval-augmented generation and provider-native retrieval are advancing, many organizations are still grappling with AI agents providing incorrect answers due to incomplete or inconsistent context. A governed semantic layer is gaining traction as a potential solution, but the race to fix these issues continues as organizations aim to build trustworthy AI systems.