Setting up approvals for AI-classified runbook steps primarily involves a human-in-the-loop workflow to ensure accuracy and compliance. Initially, the AI agent performs the classification, proposing categories or actions for each step. This proposed classification is then routed to a dedicated approval queue within a workflow management system, such as Jira Service Management or ServiceNow, for human review. Reviewers, often subject matter experts or operations teams, assess the AI's suggestions and can either approve them directly or provide corrections. Implementing a feedback mechanism is crucial, allowing human input to retrain and continuously improve the AI model's future classifications. Organizations define approval thresholds that may include: