The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway

A survey of 157 enterprises reveals that half have deployed AI agents that passed internal evaluations but failed in production. Most organizations distrust automated evaluations because they poorly align with real-world outcomes. Despite this, two-thirds are moving toward deploying AI agents autonomously without human oversight.

Enterprises are granting AI agents more autonomy than their evaluation systems can reliably support.

Teams tracking AI Agents, Agents, product strategy, operations, and market positioning.

Organizations should enhance evaluation methods and maintain human oversight to ensure AI agent reliability.