The Semantic Control Plane: Why Enterprise AI Fails in Production

Enterprise AI is moving from copilots that assist users to agents that take action: querying systems, triggering workflows, updating records, routing cases, and influencing decisions. In demonstrations, these systems often look capable; in production, they tend to behave far less predictably. This shift introduces qualitatively new risks, as agents are no longer merely suggesting actions butexecuting them across real systems.

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The Semantic Control Plane: Why Enterprise AI Fails in Production

Save with Early Bird Pricing for KMWorld 2026!
Register NOW and join us November 16-19