AI-assisted practical guide. Examples are hypothetical; proposed workflows are editorial suggestions.
An AI suggestion is a proposal until the appropriate person or process approves the exact action. Keep that transition visible in the workflow rather than treating fluent wording as authorization.
Record the proposed action
Capture the content, target, scope, expected effect, and version. Show the reviewer what would actually happen. Separate a recommendation from an execution request and from a completed result.
Define who may approve the action under the project's existing rules. Do not let the assistant invent approval authority or infer it from an unrelated conversation.
Trace a hypothetical edit
Imagine an editor approves a specific newsletter draft. The assistant later adds a new announcement. That material change should return through the relevant review process; the earlier approval should not automatically cover a different message.
Likewise, approval to prepare a document is not necessarily approval to distribute it. Keep the intended destination and audience explicit.
Verify the executed result
After an authorized action, record what happened and compare it with the approved proposal. A successful command does not establish that the intended recipient, file, or page received the correct content. Preserve the receipt alongside the approved version. The workflow is useful when a later reviewer can distinguish suggestion, approval, execution, and verification without reconstructing them from scattered chat messages.