approval_workflow

A human-in-the-loop approval process for sensitive AI actions uses a file-based workflow where the AI creates request files in a pending directory. You review and move files to approved or rejected folders to authorize or deny the automated execution.

A file-based workflow for gating automated AI operations uses pending, approved, and rejected directories. The AI creates request files in the pending directory, and downstream automated workflows trigger only when files are moved to the approved directory.

Requiring explicit human authorization for actions like sending emails or posting on social media involves the AI creating a request file in a pending approval directory. The action executes only after a human moves the file to an approved directory.

Yes, you can integrate an approval workflow to gate the execution of other automated skills. The system scans a pending approval directory and uses human file movement to approved or rejected folders to trigger or block subsequent automated workflows.

To list pending approval requests for AI-driven financial transactions, you ask the AI to scan the designated pending approval directory. It will list all pending items with details regarding the requested sensitive operations.

No external dependencies are needed to manage sensitive actions with a file-based governance workflow. The system relies entirely on moving files between pending, approved, and rejected directories to track status and trigger subsequent automated workflows.