Connecting AI agents to enterprise knowledge

AI agents in enterprises face a significant shortcoming: a lack of knowledge, which hampers their ability to make reliable decisions. A survey of 300 executives reveals that only about 34% of agentic AI projects reach production. Key obstacles include legacy data systems, security concerns, and insufficient context. The findings indicate that organizations with strong knowledge capabilities see greater success in their agentic projects, with an average of 61% of projects in leading firms advancing beyond pilot stages. These organizations excel in semantic knowledge, providing them a competitive edge.