This is part 20 of a 22 part blog series by the leading experts at Symphony Ventures. It addresses how to choose the right RPA tools for your business needs. Drawing from our global team’s extensive knowledge in automation consulting, implementation, and managed services across a range of diverse industries, we’ve drilled into the technical criteria to consider when selecting which RPA software best enables your company’s digital operation strategy.
An RPA system may be more powerful and faster than its human counterpart, but you can’t just throw work at it expecting it to get everything done in an orderly manner. Ideally, there should be an organized workflow at hand that your digital workforce can take advantage of. This is where work prioritization and resource grouping come in. Prioritizing the more important tasks ensures that critical requests are fulfilled immediately. This blog will explore how RPA tools integrate features like work prioritization into their automation capabilities.
The Importance of Work Prioritization
Any time-based work will vary in precedence. In customer service, for example, responses will need to be measured out based on timeliness. Even though scheduling processes can help organize the tasks to be carried out, a work prioritization system (or RPA tool functionality) is needed to implement the necessary abilities to work a queue with precision. Work prioritization makes it possible to order queues of work based on their importance to the business.
Queuing Your Workload
To do this, RPA systems commonly utilize a built-in queuing engine to process workloads. Process queues help dynamically sort the execution of a stack of tasks, focusing resources to complete important ones first. Tasks can be manually ordered through a tagging or labeling hierarchy that the process obeys when deployed. The top RPA tools allow for the tagging of tasks through a control panel or through process interaction. With process interaction, a process can do an initial ‘reading’ of the workload and tag the tasks for the next process based on configured rules (sorting by due dates, price, or quantity).
Queue management can be bolstered by resource grouping as well, in which a queue of work is assigned to multiple machines at once. This way, a prioritized task can be worked on by a team of robots rather than being individually dished out. Grouping also creates the advantage of separating machines based on environmental compatibility (differing based on the software ecosystem of your machines), ensuring maximal efficiency.
To give an example of both prioritization and resource grouping in action, consider how an automation system can work on a day-to-day basis: A central work queue for every task is set, but only the tagged tasks will be moved to the front of the line. These top-priority tasks will then be processed by the robot group, resulting in optimized performance and a drastically faster completion time.
Both features mentioned above are critical components of coordinating your virtual workforce. Work prioritization ensures that your business doesn’t skip a beat on critical tasks. Meanwhile, resource grouping enables a lean automation system to effectively process large volumes of work. If you are searching for RPA tools, you will want to make sure that these features are built-in to your RPA tool, as external methods tend to be slower and more difficult to implement.
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