Like all cutting-edge technologies, RPA is surrounded by myths and misconceptions. From early proponents who tout RPA as the ideal enterprise solution to the naysayers who fear the amount of increasing automation in the workforce. In this blog series we explore some common misunderstandings about RPA, as well as best practices for implementing RPA in your organization.
Myth #1 – RPA Is the Ideal Solution for Every Business
Although RPA supports many business cases, RPA is not a panacea to solve process automation issues. Before you leap into RPA with both feet, you should clearly understand that simple tasks are typically defined differently for humans and RPA. RPA neither involves reasoning nor contains any ability to make conscious decisions. RPA handles uniform, static, unchanging processes.
RPA struggles with handling changes in processes or tasks, no matter how minute, without reprogramming. Therefore RPA is the ideal solution where applications, processes and tasks do not change—even the data formats must remain constant. If the process can deviate from established rules and requires any human discretion, RPA could cost more than any automation would save. When the costs of RPA are equated to the human labor hours it is supposed to replace, a detailed analysis must consider all the real costs of RPA.
In fact, it’s best to consider RPA a tool to augment humans, rather than a self-contained solution. RPA needs human programming to succeed as a worthwhile tool for humans. Workers must grasp the programming mindset that will provide them with tools that free them to accomplish their goals.
How Vidado Improves RPA
A crucial aspect of succeeding with RPA is accurately diverting easily-automated tasks to the robots and more challenging tasks to humans. When you add Vidado to the front end of your Automation Tech Stack, you gain access to the Review tool to do just this. Review allows you to set thresholds for the level of accuracy your business requires for each individual form field.
Fields that are easily digitized and machine-readable are automatically passed along in the workflow for your robots to process. Fields that contain more crucial information or have highly damaged data are flagged for humans to review before continuing on. The result? Massively increased straight-through processing, lower overhead, and optimized RPA.
Want to Learn More?
Download the full white paper here to learn about the other myths around RPA and how you can get the most out of your implementation.