Canonical: https://ai-nterprise.com/book/ Language: en Content status: published The book / Ottaviano De Cicco # AI-nterprise Governing Knowledge, Judgment, and Authority in the Age of AI Agents I ask how an enterprise can govern what it knows, remembers, and allows to act. Forthcoming · Q4 2026 · English edition [Get the free worksheet](https://ai-nterprise.com/book/#resources) [Read the white paper ↗](https://doi.org/10.5281/zenodo.22282125) ![AI-nterprise cover: pale background, deep green AI and central node, dark title and pathways](https://ai-nterprise.com/assets/book-cover.png) Who this book is for ## The person who signs. This book is for the person who signs for what the organization does with what it believes: a chief executive, a chief operating, risk or data officer, the head of a function where agents already draft, recommend or act. It assumes no technical background. It assumes responsibility. What you take away ## A method for one workflow. A vocabulary for decisions that today hide inside the word “approved”. Ten principles. A method you can start on one workflow next Monday, with the worksheet available on this page. And a way to tell, after the model changes, what your organization has actually learned. The argument ## Follow the answer after it leaves *the conversation.* An agent produces an answer. Someone copies it into a report. Another system retrieves it. A team acts on it. AI-nterprise follows the organizational claim through those handoffs and asks where its authority comes from. The book examines how generated output becomes warranted knowledge, how memory shapes later work, and how a recommendation acquires permission to change something outside the conversation. Its central question is practical: can the enterprise identify what it relied on, who authorized the consequence, and what must change when the underlying claim is corrected? Inside the book ## Follow the argument. *Into the enterprise.* Fifteen chapters, from the arrival of a new organizational actor to the work of keeping the architecture accountable. ### Explore the fifteen chapters - 01 From e-Enterprise to AI-nterprise - 02 A New Actor in the Organization - 03 The Unsigned Draft - 04 Trust Without Self-Certification - 05 The Human Hallucination - 06 The Powers Humans Must Keep - 07 The Learning Must Be Yours - 08 Memory Is a Decision - 09 Four Decisions Hiding Inside "Approved" - 10 Planes, Loops, and Gates - 11 Ten Rules for the AI-nterprise - 12 Start Where Consequence Lands - 13 Can the Enterprise Correct Itself? - 14 Keeping the Architecture Working - 15 The Enterprise After Software The open white paper ## The reference model *and its limits.* Read the model behind the book in the open white paper. Version 1.0 was published on 3 September 2026 and is openly available on Zenodo. [Read the white paper ↗](https://doi.org/10.5281/zenodo.22282125) Resources for the reader ## One worksheet. *Four distinct decisions.* One open download. No account or signup. 02 / Four organizational decisions ### Four Questions Before an Agent's Answer Becomes Action Use this worksheet on one or two real processes in which an agent produces, transforms, recommends, or passes on a claim. PDF · 2 pages · v0.1 preview · CC BY-SA 4.0 Instructions, process map and filled example. [Download the worksheet](https://ai-nterprise.com/book/downloads/four-questions.pdf) Worksheet content © 2026 Ottaviano De Cicco. [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). The AI-nterprise name and trademark are excluded from this licence; attribution to the author is required.