Where should the boundary exist between AI governance and human governance in enterprise Confluence?

I governance is not only page approval; it is authority over canonical knowledge and terms. 

I would draw the boundary at authority, not at content creation.

AI can draft, summarize, restructure, and find inconsistencies. But humans should own anything that becomes authoritative knowledge.

In Confluence, I would keep these human-owned:

• approving architecture or regulatory decisions
• defining canonical terms
• resolving conflicting definitions
• deciding which version is the approved source
• validating compliance or customer-facing content

Risks

The important risk is not only “AI may write something wrong”. The bigger risk is that AI-generated wording becomes treated as the official source without a clear owner,
approval, or change history.

For example, in regulated documentation, terms like “incident”, “control owner”, “approved document”, “risk acceptance”, or “high-risk AI system” should not be casually
rewritten by AI. They need an approved definition, owner, and review trail.

So I would use this pattern:

• AI may suggest wording
• a human owner approves the canonical version
• Confluence stores the approved source
• critical terms and regulatory content require review before becoming official
• old or conflicting wording is periodically found and cleaned up

This is where many AI governance workflows stop too early: they govern the page, but not the meaning inside the page.

Disclosure: I build Compliance Glossary for Confluence, so I work specifically on governed terminology and approved definitions. I see this as one part of the human-governance
layer, not something AI should own by itself.

I’m also open to a short call if it would be useful to compare notes and understand the specific governance pains you are seeing in practice.

Hi @AGASTYA ANOOP SHARMA 

Good post

The boundary should sit at ownership and accountability.

AI handles scaling and consistency, while humans own decisions, quality, and risk.

The Core principle is

• AI governance rules about how it can generate, edit, or suggest content (templates, styles, tools)
• Human governance is who approves, owns, and takes responsibility for that content (page owners, reviewers, compliance)

In simple and in practical: 
AI’s role is governed by policy and Humans role governed by processes.