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Glossary · Term 01 of 39

AI agent governance

AI agent governance is the set of controls that decides what an AI agent may change, who must approve the change and what evidence is kept. For agents that write to business systems, it works best at the write itself: one path every change takes, with rules, a named approver and a tamper-evident record.

In one sentence: The controls that decide what an AI agent may change, who must approve it and what evidence is kept.

01In more detail

What it means in practice

AI agent governance is narrower than AI model governance. Model governance asks whether a model is fit for use; agent governance asks what an agent may do once it can act: which records it may change, which changes need a named person, and what is kept as evidence.

It works best at the write itself. Prompt guardrails and tool permissions help, but the dependable control is one path every consequential change must take, with versioned rules, a named approver where the rules ask, and a tamper-evident record of each outcome, allowed or refused.

Defined in the elan1 glossary · Last reviewed 10 Oct 2026. Definitions change only with a dated note.

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See the term in a governed action.

The walkthrough follows one write from intent to proof record, using the words in this glossary.