It has been easy for us to manage complex workloads using Automic Workload Automation. The user interface allows us to zoom into a particular section of a complicated workflow. If we have 30 different jobs and scripts tied together in a workflow, we can use the graphical interface to work on one section of the job on our screen. We can also embed one workflow into another. If there is a complicated workflow, we can bunch it all into one workflow and embed that one into a different workflow. This way, we can manage more complicated workflows. It is easy to use. We previously had a thick client which was Java-based, and now, we have the web-based one. Both have been easy to use. Building jobs and doing the admin side of things, such as monitoring jobs, checking reports of the jobs, and checking job statistics has been easy. It is one of the easy-to-use tools. We could see its benefits immediately after deploying it. We were replacing a legacy tool with Automic. It was a new solution, and we could see all the new features in it. We have a lot of alerting features and notification features. It even has a feature to notify us when a job takes longer than usual. If our workflow usually takes two hours to run, but it is taking longer, Automic Automation can notify us. It helps to reduce the error or failure rates. Automic Automation has freed up staff to do other things more. By automating routine things with Automic, they can move on to doing other things. It surely frees up people's time. It is saving time for our staff. Automic Workload Automation helped reduce our operational costs. We used to get called often with our old tool because of more failure rates, agents going down, etc. In that sense, it is saving time for staff. If more tickets are generated, we would have to hire more people offshore. With fewer tickers and fewer job failures, we need fewer people. Automic Workload Automation has helped improve our ability to meet SLAs by being more reliable and more stable. It is a stable tool. Our jobs are not failing because technology is failing or agents are going down or not responding.
