AI Governance Roles: Who Owns, Reviews, and Approves the Work
Define the responsibilities behind AI work without inventing a new department. Give owners, users, reviewers, and decision makers clear authority and handoffs.
Updated 5 min read
AI governance roles define who owns an AI-assisted workflow, who uses it, who reviews its results, and who can approve or stop it. They are responsibilities to assign, not a requirement to create a new department or give every responsibility a separate job title.
A small team may combine responsibilities, but it still needs clear decisions and handoffs. fenbs keeps the work, human-approved decisions, and attributed changes together so teammates and connected assistants can see what was agreed. Software access supports this arrangement; it does not decide who is accountable for a business outcome.
Which responsibilities need an explicit owner?
Start with the decisions your workflow actually creates. Someone must justify the use, maintain its boundaries, perform the work, check important results, and authorize changes. Specialists join when the subject requires their expertise. A person may hold several responsibilities if they have the necessary authority and capacity.
| Responsibility | Owns this question | Useful evidence of the role |
|---|---|---|
| Workflow owner | Is this still a suitable way to do the work? | Current scope, operating conditions, and follow-up actions. |
| User or operator | Am I staying within the agreed boundaries? | Clear inputs, review requests, and reports of problems. |
| Reviewer | Does this result meet the required check? | Specific findings and remaining uncertainty. |
| Approver | May the organization proceed under these conditions? | An attributed decision with reasons and limits. |
| Specialist adviser | What does this use require in my area? | Advice from the relevant security, privacy, legal, or subject expert. |
These are example responsibilities, not universal titles. The NIST Govern guidance (opens in a new tab) calls for clear roles, communication, and authority. Adapt your assignments to the workflow and the people who can genuinely carry them out.
What does the workflow owner do?
The owner maintains the connection between the AI use and its business purpose. They know which tool and information the workflow uses, who relies on its output, and which conditions were approved. They arrange review when something changes rather than treating the first approval as permanent permission.
For example, a design studio’s operations lead might own AI-assisted project summaries. They confirm the permitted inputs, keep the review instructions current, and follow up when a summary invents a commitment. They do not need to write every summary themselves to own the workflow.
Ownership needs resources and escalation authority. If the owner cannot obtain a reviewer or stop use when a condition fails, identify the person who can. Keep that relationship explicit instead of assigning responsibility to someone who can only send reminders.
What remains the user’s responsibility?
The person using the AI follows the approved purpose and information boundaries. They identify uncertainty, ask for the required review, and report unexpected behavior. Their job includes recognizing when a request has become a different use, even if the same app can perform it.
In the studio, turning internal notes into a draft summary may be permitted. Asking the assistant to send a client an updated schedule creates a different action and audience. The user should pause at that boundary rather than assume the original permission covers every convenient next step.
An assistant can help perform the task and preserve progress, but it does not accept organizational accountability. Our guide to governing AI assistants in small teams adds practical context for sharing that work.
How is review different from approval?
Review establishes what the evidence shows. Approval authorizes the organization to proceed. A reviewer might confirm that a summary accurately reflects the notes while an approver decides whether it may be sent to the client. Those are different judgments even when one person is authorized to make both.
Define the review request precisely: the claims, sources, calculations, or actions to check. Give the reviewer enough information and time to disagree. Where the consequences or conflicts warrant it, arrange an independent check instead of asking the person who produced the work to validate their own assumptions.
The approver should state the conditions and remaining limits. “Approved for internal summaries using these inputs” is clearer than “AI approved.” The OECD AI Principles (opens in a new tab) include accountability among their values; an attributed decision makes that value visible in the work.
Keep proposals and approvals distinct in fenbs Decisions and rules. An assistant can record a person’s choice, but cannot decide a decision, sign off, or pre-approve work.
Who handles concerns when the usual person is away?
Assign a backup or a clear waiting state before the absence occurs. A backup needs the same relevant authority and access, not just a forwarded message. If nobody qualified is available, keep the dependent action paused. A deadline does not supply missing approval.
- Routine questions go to the workflow owner or their named backup.
- Specialist concerns follow the organization’s existing security, privacy, legal, or subject-matter route.
- Unexpected harmful behavior triggers the agreed pause and reporting process.
- Disagreements go to the person authorized to decide the specific boundary.
Avoid making “the team” the final destination for a concern. Identify who receives it, who can act, and what remains waiting. Update the work record after the handoff so another teammate does not restart an action that was deliberately stopped.
How should software permissions support these assignments?
Business responsibility and software permission answer different questions. A person may be responsible for an approval without needing broad access to edit every record. A person with technical administrator access is not automatically authorized to approve every use of AI.
Choose access that supports the intended work and check the enforcement in the systems being used. The guide to roles and permissions for people and assistants covers that access question. Keep the responsibility map readable without expecting everyone to interpret a permissions screen.
Give responsibility a shared work record
Use a team kanban board with member roles that say who can do what. Record human decisions and the follow-up tasks so the next teammate or connected assistant can understand the current boundary. History records who changed the work, while people retain the authority to decide and sign off.
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How to do this with fenbs
- Create a free account and add a project for the AI-assisted workflow you are clarifying.
- Record the agreed responsibilities and escalation route in project context notes, naming who owns the workflow and who can decide its boundaries.
- Record the authorized person’s approved conditions in Decisions and rules. Keep questions awaiting that person open.
- Add the implementation and review work as tasks. On a team kanban board, give members roles appropriate to the access they need.
- Ask connected assistants to read the project context before starting and save progress before stopping, including anything waiting on a person.
fenbs is free for one person, with no credit card. It does not supply professional reviewers or replace a formal organizational approval process. If your work needs a specialist assessment or controlled evidence system, retain those arrangements and use fenbs for the permitted shared work record.
How do you check that everyone understands their part?
Walk through an ordinary request and a failure scenario. Ask who prepares the output, checks it, approves the action, and responds if it goes wrong. If two people each think the other is responsible, fix the handoff before the workflow depends on it.
For staff learning needs, read AI governance training, and use the AI governance hub for the wider subject. Revisit assignments when people, purposes, or permissions change. A responsibility map is useful because someone can act on it today.