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Automating workflows in Azure DevOps primarily brings about enhanced efficiency and productivity in project management. This benefit arises because automation minimizes the manual effort required to execute repetitive tasks, which allows team members to focus on more strategic and creative aspects of their projects. By streamlining processes such as code integration, deployment, and testing, teams can accelerate their development cycles, reduce the likelihood of human error, and improve consistency across various tasks.

Through automation, continuous integration and continuous delivery (CI/CD) pipelines can operate seamlessly, allowing for faster iterations and quicker feedback loops. This responsiveness not only enhances project management metrics but also promotes a culture of agility within teams, enabling them to adapt swiftly to changes or new requirements.

While the other options present ideas that may seem relevant, they do not align with the core advantages provided by workflow automation in this context. Increased manual oversight, reduced collaboration among team members, and greater reliance on external tools would actually impede efficiency and productivity, which counters the main purpose of implementing automation in the first place.