The AI Agent Gap: Why Most Enterprise AI Agents Never Reach Production — and the Operating Discipline That Closes It (The AI Operating System + The Agent Gap Book 2)

Most enterprises are piloting AI agents. Very few of those pilots reach production. This book is about closing that gap.

The demo always works. An agent triages the inbox, drafts the report, answers the customer; the room nods, the budget clears, a launch date gets a slide. Then the launch date moves. And moves again.

The evidence points the same way. A 2025 MIT study of enterprise AI found that about 95 percent of generative-AI pilots had little or no measurable impact on profit and loss, and traced the failures to how organizations integrate and run these systems, not to model quality. A survey of 1,150 senior IT and business leaders at large organizations (Camunda, 2026) found that only 11 percent of agentic AI use cases reached production in the past year.

The AI Agent Gap names that space precisely: the distance between it worked when I tried it and it works every time, for everyone, under load, when something upstream breaks, at a cost we can defend. Andreas Anding calls it the Production Chasm , and this is the operating discipline for crossing it.

Drawing on twenty years in digital transformation and agents he runs in production himself, Anding gives technical leaders a complete operating model: The Reliability Ladder: why reliability is a designed operating property, not a model property, and how to climb it Evaluation as Infrastructure: how you actually know an agent works, with golden sets, regression gates, offline and online evals Observability, cost, and latency under control: traces not logs, budget gates, real unit economics Governance and human-in-the-loop as a production enabler : control surfaces and EU AI Act-ready design The Agent Operating Model: who owns agents, the Agent Ops function, runbooks, and the discipline that moves one agent to a fleet A Production-Readiness Assessment and a concrete 30/60/90-day plan you can run on Monday Written from the operator's chair, not the engineer's. Not a training manual and not a vendor pitch: the operating layer between them, the one almost nobody writes down.

Book 2 of the series. For the leadership framework, start with The AI Operating System .

A demo proves possibility. Production demands reliability. The two are not the same skill, and this book is about the second one.