Judgment with the
power to challenge.
Who can question the evidence, disagree with a recommendation and change the decision?
AI-nterprise · Book & open framework
Ottaviano De Cicco
People and agents.
One enterprise.
An AI-nterprise is an organization where people and AI agents work together, with explicit rules for what counts as knowledge, who may judge and act, and how corrections change future work.
Examine one decision · free worksheetWorking together. Learning as an organization.
People · agents · shared workPeople
Purpose, judgment
and mandate.
AI agents
Retrieve, draft
and act within scope.
A basis
for a decision.
Review for this useExplore the gate
Authorized action or revision
- Findings
- Verified
correction - Authorized
change - Next relevant
case
02 / The enterprise at workWhat changes when
What changes when
agents join the work?
An agent can help prepare an assessment, recommend a decision or carry out an action. The organization must decide what that work may be relied on for, who has authority, and how a correction reaches the next case.
Judgment with the
Authority that
can be traced.
Who granted the mandate, for which purpose, and who can change or revoke it?
Learning that changes
the next case.
Which corrections have been checked, authorized for reuse and shown to affect the next relevant use?
Output is
not knowledge.
Capability is
not authority.
Human presence is not
meaningful human power.
The book · Ottaviano De Cicco
AI-nterprise
Governing Knowledge, Judgment, and Authority in the Age of AI Agents
AI-nterprise examines how the work of people and AI agents becomes a basis for organizational decisions. It connects knowledge, judgment and authority with practical ways to design a bounded initiative and turn expert correction into reusable learning.
Forthcoming · Q4 2026 · English edition
Explore the book03 / The frameworkFrom shared work
From shared work
to a basis for action.
A claim may come from a person or an agent. Evidence that supports it and a mandate to act are separate conditions. They meet when the claim is used.
Assurance tests the planes and the gate. Its findings go to the responsible owner for correction, separately from the action route.
Inside the framework Four dimensions · three planes · three loops+
Four separate decisions
- Standing
- Is this claim warranted for this use?
- Persistence
- What remains eligible for use, and what history must be kept?
- Visibility
- Who may retrieve which representation and context?
- Action enablement
- Who may act, within which boundary?
Three control planes
Knowledge and Authority supply distinct conditions at the gate. Assurance independently tests both planes and the gate. Its findings go to the responsible owner for correction.
Three coupled loops
Production creates work and revisions. Assurance challenges and tests. Learning turns verified correction into a change in the next relevant case.
The square's four edge marks represent separate decisions; they are not four green approval lights. This is the book's reference model.
04 / The introduction
AI-nterprise
in 95 seconds.
People and AI agents contribute to the same work. Follow how that work becomes an organizational decision, and how a verified correction changes the next case.
Watch the introductionPeople, decisions and learning · 95 seconds+
An illustration of the book's ideas. Explore the visual framework.
05 / The public foundationRead the argument.
Read the argument.
Explore the foundation.
The manifesto introduces the argument. The white paper sets out the reference model, its distinctions and limits.
A Manifesto for the Human-Agent Enterprise
The public argument for governing what humans and agents may know, decide, remember, and do together.
Read the essay
The Model Is Rented. The Learning Must Be Yours.
Why corrections and evaluations must become reusable organizational learning.
Read the essay
The Human Hallucination: The AI Failure Mode Nobody Is Measuring
Why judging the human–AI pair matters when fluent output changes a person's confidence.
Read the essay