Automation is critical to modern IT operations. Workload automation (WLA) software is one of the critical tools required to run an effective IT operation. Large enterprises often have multiple WLA solutions, which makes it difficult to create a holistic, end-to-end view of workload health and outcomes, and to see and resolve problems as they develop. This paper discusses automation intelligence solutions that can collect data from disparate WLA tools, combine the data, and analyze this data to predict outcomes, identify problems as they develop, and provide prescriptive suggestions to resolve developing problems quickly. Changes to the operating model for IT and benefits of automation intelligence are reviewed.