CoreWeave Systems

Insights

Where AI Agents Need Human Approval

Decide which agent actions need approval and define what reviewers see before a change is executed.

AI-assisted work can move quickly from suggesting a change to carrying it out. Draw that boundary explicitly. A review should show the exact action, the account or record it affects, and the information needed to decide.

Separate reading, drafting, and acting

List the actions the assistant may perform and the people or systems affected. Reading approved information and preparing a draft are different from sending a message, changing a record, or triggering a transaction. Start by keeping external communication and consequential writes behind an explicit approval step.

Bind the decision to the exact proposal

Show the target, proposed values, and expected effect before the reviewer decides. Record which version was reviewed and who can make the decision. If the proposed values or underlying record change, request a new review where it matters. Give the reviewer a way to return, reject, or defer the item.

Plan for timeouts and uncertain results

Set an expiry for waiting proposals. Specify what happens if the reviewer is unavailable or the action fails after approval. Record the decision and its observed result separately. Verify the destination before retrying a consequential write after an ambiguous response. Keep a manual path for cases outside the approved scope.

Example

Review a proposed change to a ticket category before a scoped connector writes it.

What to do next

An approval grants authority for a specific action on a specific version, with a clear record of what happened afterward.

Discuss the workflow you want to improve

Share the task and the systems involved.

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