As Robotic Process Automation (RPA)
adoption continues to skyrocket across industries and geographies, for many companies it now serves as the backbone of digital transformation.
To help cut through the noise and complexity, our Intelligent Automation experts have answered some of the most asked RPA questions that businesses like you are looking to understand.
For more insights on RPA related terms, visit our Intelligent Automation Glossary.
To put it simply, RPA is the technology that allows organizations to use software robots to perform specific tasks in an automated way.
Using a combination of user interface interaction, descriptor technologies, and cognitive processes, RPA BOTs can be used to mimic or emulate selected tasks within an overall business or IT process. These may include manipulating data, passing data to and from different applications, triggering responses, or executing transactions. The bots can work through one or more software applications.
FIND OUT MORE: 8 Common Business Processes you can automate with RPA
When talking about Intelligent Automation the conversation goes beyond RPA.
To intelligently automate means to take RPA and enhance it with Artificial Intelligence (AI), machine learning (ML), and other technologies that allow for a more custom and intelligent design of the process automation that can be implemented across an organization.
This enables businesses to move towards Hyperautomation.
Yes, RPA is fully agnostic and can be used to automate and integrate data in any application (on-prem or cloud-based) and in any interface or server including Citrix.
Process mining is a set of solutions that leverage event logs that are generated by enterprise systems such as Enterprise resource planning (ERP), Customer Relationship Management (CRM), Human Capital Management (HCM), and Supply Chain Management (SCM) to rebuild a virtual view of the business process.
Robust process mining tools can blend data mining with AI/ML to generate data-based analytics, and help organizations discover the as-is state of business processes as well as identify new opportunities for optimization and automation.Process Mining is part of the multiples stages of the RPA lifecycle, early on to identify processes that are candidates for automation, analyze the extent to which RPA can be implemented in legacy processes and systems. And later, it provides monitoring and analysis on RPA performance for continuous improvement.
Read all about process mining and RPA here in our blog.
Business and IT leaders can use these steps as a guide to develop an RPA implementation strategy that ensures its success and future scalability.
There are multiple challenges that can appear when implementing RPA in your organization, here are three of the major and most common ones:
According to Gartner’s list of Top 10 Strategic Technology Trends, the evolution of RPA into Hyperautomation is the #1 trend. Expanding the automation from RPA to a combination of cognitive technologies (AI, ML, NLP, OCR, AI Vision) that enable the end-to-end automation lifecycle.
Hyperautomation is a strategic enterprise initiative that can deliver a continuous automation journey with superior business outcomes by leveraging a combination of technologies that complement the core RPA adoption.
If you would like to know more about Roboyo’s RPA solutions, our automation experts can help take your enterprise to the Next Level. Now
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