🤓You can automate almost every part of an ML workflow — except the human. Approvals are essential because few teams are comfortable pushing a model to production without someone reviewing the results first. The problem is that waiting for that approval can get expensive if you’re running resources or polling for state changes. Here’s how to pause a serverless workflow for as long as needed without paying for idle compute.