Skip to main content

Main use cases

Optimize existing automated processes​

In this scenario, a process is already implemented using in the organization using existing capabilities, such as long-running workflows or ReFramework workflows. Aside from that, there is an interest in gaining a deeper understanding of the current process, identifying inefficiencies, and optimizing it.

The end-to-end business process can be developed using Long Running Workflow processes or interconnected automations that utilize dispatcher-performer patterns, providing a clear path to improved performance and efficiency.

The following illustration shows an example end-to-end process with existing automations.

End-to-end process with existing automations

Model, automate, orchestrate, monitor, and optimize a new process​

In this scenario, you want to build a new long running workflow leveraging a Business Process Model and Notation (BPMN)-style canvas available in UiPath Studio. This enables you to continuously monitor the process to improve it over time.

Key features

  • Leverage the Long running workflow, a canvas in Studio Desktop where you can quickly design complex workflows by combining BPMN concepts with the power of RPA.
  • Integrates Triggers, UI Automation, API Automation, Human In the Loop and AI Powered Automation.
  • Long running activities from Action Center, Integration Service, Microsoft 365, Google Workspace.
  • Built in resiliency capabilities through Error Boundary Events and Error End Events.
  • Importing a BPMN file.
  • Tracking the elements of a canvas in Process Mining to get a view of the process and further optimize it.

The following illustration shows an example Long Running Workflow.

Long Running Workflow

Improve processes spanning systems, humans, and robots​

In this scenario, there is a need for a holistic understanding of an end-to-end process with certain parts performed in specific source systems like SAP, Salesforce, ServiceNow, and Oracle, along with parts of the process implemented in UiPath that may also involve human-in-the-loop tasks.

Key features

  • Bring in data from automations and Task Mining in the same application in Process Mining.
  • Bring in data from source systems and automations in the same application in Process Mining
  • Build richer business-centric dashboards and KPIs on top of the combined data.
  • Perform root-cause analysis.
  • Identify inefficiencies in the process, identify opportunities for process optimization and quantify the impact.
  • Measure the return on investment (ROI) of process optimizations implemented into the process.

The following illustration shows an example of continuous improvement.

Example of continuous improvements in Process Mining