What is the Future of RPA (Robotic Process Automation)?

by | Published on Sep 7, 2022 | Outsourcing Services, RPA

Large organizations and enterprises have integrated RPA with the assistance of business process outsourcing services in almost all business operations to achieve greater organizational performance and efficiency. Since the groundbreaking RPA technology launch, there has been considerable enhancement in ROI as highly repetitive and high-volume processes were done faster and more accurately. The future of RPA is promising as the technology is ever-evolving, and is striving to close the present gaps in technical inefficiencies. RPA is here to stay with the scope of tremendous advancements in the future. Read the blog to learn how RPA changes the operational landscape of businesses in the near future.

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Current Capabilities of RPA

  • There is a considerable increase in productivity as specific routine tasks are performed by RPA robots. A task that requires 3 hours of manual work can be finished within 15 minutes with the RPA technology.
  • There is no 100 percent human efficiency. RPA software can perform tasks that 2-5 employees can work on in the same duration.
  • With the implementation of RPA in business, processing errors can be avoided. Accuracy is assured when all the business processes are automated.
  • Improved analytics can be mentioned as one of the business benefits of RPA. Analytics enables businesses to gather data to make informed decisions. RPA technology is scalable to meet expanding business requirements.

Future of RPA

The upcoming phase is expected to influence both usage and workforce in businesses. In the near future, robotics-oriented automated tools will replace all manual tasks.

Attended automation

Attended automation is a trend that is gaining momentum. The need for attended automation has been understood by organizations as it can automate more processes and maximize returns on their existing RPA investments. This extends the functionality of bots through desktop automation. An attended automation robot can be called a digital personal assistant that functions on the desktop. The technology is expected to guide employees to deliver a better customer experience. Faster automation with more accuracy enhances the operational efficiency of businesses.

End-to-end automation of the complex processes acts as a bridge between the back office and the front office. With business processing outsourcing companies, enterprises can ease the task of processing complex customer requests.

RPA to become intuitive, intelligent, and smarter

Blending artificial intelligence with robotic process automation is the next step aimed at organizations and enterprises. This combines intelligent automation, intelligent process automation, and cognitive RPA. This is expected to ensure automation of more complex tasks and reduce rule-based tasks.

Cognitive automation will be able to efficiently handle exceptions and coordinate the entire decision-making process. Traditional RPA is compatible only with structured databases. However, intelligent automation is also functional with unstructured data like scanned documents, emails, letters, and voice recordings.

The RPA technology is expected to mimic human cognitive processes like:

  • The self-learning bots acquire input information, analyze it, and apply contextual rules to know how to use the information.
  • Reason based application of context and rules to arrive at conclusions
  • Correcting errors by the RPA bots themselves from previous experience
Self-correcting RPA bots

RPA is also vulnerable to bugs like any other technology. When more and more complex processes are handled by the RPA bots, there should be an efficient maintenance mechanism to ensure that the bots function smoothly. Today, erroneous RPA tasks are identified, isolated, and corrected by humans. We can expect that in RPA bots can scan themselves for errors and correct them. This will reduce the need for human intervention.

High-level process mining

In today’s RPA, process mining is fully functional. However, we can expect that process mining will get more sophisticated in the future. Bots will be able to discover tasks for the RPA ensuring extended efficiency and effectiveness. The AI-driven automation tools will possibly expand the scope of RPA. The intelligent RPA bots will be able to gather data on how users interact with applications and analyze the data to suggest opportunities for automation. The next level of agility in the automation of tasks is something businesses are eagerly waiting for. The automated discovery process ensures faster and more accurate identification of the right processes to initiate automation.

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