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

1Key Takeaways

• Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted.
• Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector databases that define the category — yet a majority of enterprises have already watched their agents produce confident, wrong answers traced to missing or inconsistent context.
• A governed semantic layer is emerging as the….