Abstract: Disclosed herein is a method and system for managing enterprise digital automation processes. In an embodiment, a plurality of automation requests, related to a plurality of enterprise digital automation processes is prioritized based on an automation requests information. Further, a plurality of tasks from a project application repository is selected for executing the plurality of automation requests. Subsequently, execution of the plurality of automation requests is monitored in real-time by generating a unified portfolio view of the plurality of tasks and by tracking a run-time cost and benefit for each of the plurality of tasks. Furthermore, one or more alerts related to the execution of the plurality of automation requests is generated. Finally, the execution of the plurality of automation requests is optimized by resolving each of one or more alerts using pretrained Artificial Intelligence (AI) model trained on one or more historical events associated with plurality of automation requests.