Isaac Asimov and other science fiction creators predicted humans and robots working together to further humankind\u2019s progress. And while they were right, it looks a little different today than imagined.<\/p>\n
Instead of full-figured automatons running around, we have come to rely on virtual \u201cbots\u201d or \u201cdigital assistants\u201d. Essentially, we have foregone the physical form and utilized robotic intelligence in everything from data input to complex business decisions.<\/p>\n
But that doesn\u2019t mean bots lack the human touch. Many bots are assigned avatars, like Archie and Leia (who we will meet at the end of this article). And we promise they follow Asimov\u2019s three laws of robotics.<\/p>\n
RPA stands for Robotic Process Automation, which in colloquial terms means \u201crobots that automatically complete certain tasks and processes.\u201d<\/p>\n
RPA is most commonly used to complete time-consuming and menial tasks, such as data input and information organization. After all, it\u2019s no surprise humans first utilized bots to do the things they\u00a0don\u2019t\u00a0<\/em>want to do.<\/p>\n Human employees often dread the repetitive and \u201claborious\u201d work of such tasks, leading to mistakes and reduced productivity. But bots were literally programmed for the job.<\/p>\n Businesses are now using bots to free up their employees\u2019 time and efforts. They realize that employee potential and a lot of time is being wasted on simple tasks that RPA can do better and faster.<\/p>\n Employees can instead be used to complete more critical tasks that require innovation, creativity, and human sense. Human employees are becoming \u201cknowledge workers\u201d that are more valuable because of RPA assistance.<\/p>\n The feedback of RPA in the past had to rely heavily on \u201cit\u2019s worth it once it\u2019s\u00a0finally<\/em>\u00a0up and running,\u201d with an emphasis on \u2018finally.\u2019 And while it is still very much worth the wait, the wait is hardly worth mentioning thanks to recent advancements. Now, an RPA system can go from vision to fully operational solution in just three to four weeks.<\/p>\n In the meantime, as your digital assistant is learning and understanding your business, you can redirect human employees on to important tasks that require more resources.<\/p>\n Once \u2018trained\u2019, your new RPA assistant can complete repetitive, mundane tasks without pre-prompting; They can do it fast, and with an extremely low error rate, so your human team have accurate information at their fingertips.<\/p>\n Best of all, RPA never needs a refresher course, and any changes or updates are implemented easily.<\/p>\n To give you a clue, hyperautomation is also known as \u201cintelligent automation.\u201d<\/p>\n As either name suggests, it takes automation to the next level.<\/p>\n In \u201cGartner Top 10 Strategic Technology Trends for 2020<\/a>,\u201d hyperautomation is defined as \u201cdeal(ing) with the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans.\u201d<\/p>\n Essentially, hyperautomation or intelligent automation (IA) bots think and learn for themselves. While that might give Mr Asimov goosebumps, it\u2019s a sigh of relief to businesses everywhere.<\/p>\n An IA bot or hyperautomation bot uses artificial intelligence and machine learning to get better at its job. It learns where to get the information that is needed and processes it into a usable form for knowledge workers.<\/p>\n Hyperautomation is particularly useful with high-volume demands. It can sift through what would be an insurmountable amount of information for a human and efficiently extract specific data.<\/p>\n Intelligent automation \/ hyperautomation can be used across multiple industries, such as:<\/p>\n The above are just a few examples. Every industry has its own version of repetitive, time-consuming, mundane challenges that could be resolved with hyperautomation.<\/p>\n Much to Mr Asimov\u2019s relief, RPA and hyperautomation bots are not meant to replace human workers. They are meant to supplement human workers.<\/p>\n The goal is to capitalize on knowledge workers\u2019 value by lightening the load with bots. Since these bots often work closely with employees and customers alike, they are often given human-like qualities and even human avatars.<\/p>\n As examples, meet Archie and Leia.<\/p>\n Archie\u00a0is a digital PPP loan officer who can process loan applications in one minute. As a hyperautomation bot, Archie helps banks and lenders significantly improve efficiency and accuracy for loan processing.<\/p>\n Leia is also a hyperautomation bot, but she specializes in employee onboarding. From verifying W-4s to enrolling new hires in payroll and training courses, Leia can complete the onboarding process in just two minutes.<\/p>\n But Archie and Leia aren\u2019t limited by those job titles. They can help automate a lot of other things, too, like insurance claims processing, invoice processing, accounting, stock management and more.<\/p>\n Prolifics\u00a0have been leading the way on Intelligent Business Automation, enabling organisations to create their own bespoke digital assistant.<\/p>\n RPA and hyperautomation bots exist for one main reason: to make work easier.<\/p>\n These bots can improve efficiency, accuracy, and productivity with a domino effect that improves the entire businesses. Knowledge employees are released from monotony and feel more valued, and business owners reap the benefits of the improved work environment.<\/p>\n So, these bots may not be automatons like Mr Asimov\u2019s robots, but their input in helping businesses succeed cannot be overlooked.<\/p>\n Contact our team<\/a> to begin your journey into RPA & Hyperautomation.<\/p>\nIs Implementing RPA a Huge Undertaking for Businesses?<\/strong><\/h2>\n
What is Hyperautomation?<\/strong><\/h2>\n
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Meet the Robots<\/strong><\/h2>\n
Conclusion: RPA and Hyperautomation<\/strong><\/h2>\n