Beyond correlation to autonomous action: Why “good enough” observability fails in the age of agentic AI

The rise of autonomous AI agents requires a shift from traditional, probabilistic observability—which relies on human-centric correlations—to a deterministic, context-driven architecture. To enable reliable auto-remediation and optimization, observability must evolve into a control plane that provides AI agents with the precise, causal data needed to act without human intervention. This architectural transition is essential for ensuring that enterprise-scale autonomous operations remain trustworthy and efficient.