Was permission recorded?
Did the right people approve the request? Is the work inside the planned window?
AuthorIOM checks a proposed change against the live Infrastructure Operating Model. It uses current state, dependencies, owners, rules, risk, and required approvals before a connected tool applies the action.
The same process can be used for a person, a tool, an automation, or an AI agent.
Did the right people approve the request? Is the work inside the planned window?
Has the environment changed? Did the impact grow? Is the path still allowed? Is more review needed?
A ticket records a request. An approval records permission. The IOM checks whether the connected change still fits the live environment.
The IOM adds the context needed to judge the change.
The change fits the current state, rules, risk limits, and approval path.
The change breaks a rule, uses the wrong path, or creates too much risk.
A person must approve an exception, confirm ownership, or judge a tradeoff.
The IOM needs more current facts before it can support the decision.
The goal may be valid, but the proposed method or timing is not.
A dependency, maintenance window, or other change must be handled first.
Human judgment is checked against the live environment and its rules.
A product-specific action gains cross-team and service context.
A script does not have to assume that yesterday’s conditions still apply.
AI can propose and explain, but it must follow facts and limits outside itself.
Human intent is not always safe. Automation speed is not always safe. AI intelligence is not decision authority.
The ticket may look narrow and routine.
The ticket describes the requested action. The IOM understands the connected change.
AuthorIOM does not need to replace Terraform, Ansible, cloud APIs, network controllers, CI/CD, ITSM, or operating scripts.
The tool applies the action. The IOM provides the context, rules, decision, and proof.
The IOM can check the proposed action before it runs and verify the result after it runs.
The IOM does not call it governed. It appears as drift and is handled by policy.
AuthorIOM does not claim to govern actions it cannot see.
Authority grows only as the IOM, the evidence, and the organization’s trust grow.
Governed execution starts with the model.
Governance is not only a gate. It is a chain of evidence from request to verified result.