We automate tasks to test out new AI models and then bring them into production. The main benefit for us is that we can run large scale A/B tests against the same data without manually doing the testing. It allows us to get feedback on our algorithms in a faster way. This means that we don't need to wait until the end of the month to see how our new model performs. Additionally, if there are any issues during the automated tests, we receive an email immediately so that we can resolve them right away instead of waiting until the end of the month to find out if the issue still exists.