A team just shipped a fraud model and has zero visibility into it in production. Stand up the bare minimum Datadog-style observability: log every prediction and put it on a dashboard. No drift detection, no alerts, no shadow models yet. I care about what you actually log per prediction, and which metrics belong on the dashboard now versus which ones have to wait for labels.
Educational exercise. Not affiliated with or endorsed by Datadog.