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RPA drives further Automation in Digital Transformation

Last week Tesla launched the long awaited Model 3 sedan. Tesla has revolutionized the automotive industry with electric powered vehicles that includes self-driving technology. Self-driving is made possible with “collaborative robots”, making use of Artificial Intelligence (AI). How does this exciting launch by Tesla relate to Digital Transformation?

What is RPA?

Robotic Process Automation (RPA), an emerging technology, is a form of Artificial Intelligence referring to software that automates manual human tasks performed using a combination of user interface (UI) interaction or descriptor technologies. Organizations today can use RPA to reduce manual efforts and driver efficiency, increase speed to deployment, and increase accuracy by removing human errors. RPA provides a virtual workforce of collaborative robots, or “bots”. These bots are designed to take on the repetitive tasks performed by humans which tend to be mundane and as a result, abundant with errors.

What are the automation options for RPA?

RPA technology enables a few automation options such as:

Desktop Automation- by recording a user’s steps when performing tasks on a desktop to be replayed at a later time.

Virtual API’s- extend existing IT architecture to provide an integration layer by orchestrating user’s interaction to front-end applications and then exposing resulting data outputs using modern services. This is ideal when organizations have limited integration options to legacy systems, closed package applications, or an intermediary solution to the backlog of IT projects.

Virtual Workforce- a virtual team of robots sitting on a remote server. These robots work in “collaboration” with humans to move data between applications, check for business rule conditions, update and process ideally 10 times faster than any human could. These robots work 24/7 while processing work queues that span multiple processes within an organization while the humans work on the complex tasks.

How does this benefit an organization?

RPA software is low code, which results in a rapid time to market. The automation of business processes results in task automation for consistent results, reduction in human error, and a reduction in cost. Because teams can be freed to work on value added tasks, it increases the total volume of workload they can process.

In addition, when an exception occurs, RPA can be used to create tasks in BPM to be performed by humans.

What processes are a fit for RPA?

RPA provides the opportunity to automate processes that previously were not possible.  The following are ideal candidates for RPA selection:

  • High Process Volume
  • Repetitive Tasks
  • Manual Data Entry
  • Multiple Legacy Systems
  • Structured Rules with Low Exceptions
  • High FTE Number

Similar to a person sitting in a driver’s seat of a self driving Tesla going 70 miles an hour down a freeway, organizations can increase customer satisfaction by removing human errors, increase operational efficiency and time to completion, and increase accuracy and compliance.

Want to see the power of RPA and BPM working together to transform business processes? Contact sales@perficient.com to schedule a demo.

3 thoughts on “RPA drives further Automation in Digital Transformation

  1. As an expanding technology, capable of improving business outcomes, RPA has the capacity to support digital transformation. Through its automation capabilities, RPA allows organizations to tackle operational challenges, for example, executing large amounts of back office activities. Companies can gain knowledge about their business patterns and the performance of their workflows through data provided by RPA. Companies can then leverage this information to adopt digital strategies which help adapt their processes to be more efficient.

    In addition, RPA makes achieving digital transformation, quick and straightforward in many cases. The robots can be taught to mimic the actions of employees, ranging from anything including clicks and copy-paste tasks to more complex tasks, such as workflows and activities, such as invoicing.

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