Why Organizations Should Consider Intelligent Automation Over Robotic Process Automation

The pandemic has changed expectations and priorities. Institutions are now increasingly leveraging the power of Intelligent Automation to resolve their myriad business problems and achieve goals.

To mitigate the effects of the crisis, leading firms are doubling down on investments in technologies like automation, AI, and the cloud and exploring possibilities to prosper in the future. The pandemic has altered expectations and priorities. Institutions are increasingly leveraging the power of Intelligent Automation (which includes RPA and other technologies and solutions) to resolve their myriad business problems and achieve objectives such as enhancing the customer experience, optimizing operational efficiencies, and even generating new revenue. 

The reason for RPA’s growing popularity is because it enables organizations to automate routine tasks that humans previously performed. This frees up the human labor to focus on more rewarding activities involving creativity, empathy, and critical thinking and expedites and eliminates errors in executing these duties. This, in turn, results in greater employee satisfaction, significant cost savings, better productivity, accelerating digital transformation, and a host of other advantages for organizations. 

As the digital ecosystem grows and evolves, RPA can fall short in a few areas. Intelligent Automation (IA) comes into action at this point. IA includes technologies such as Artificial Intelligence (AI) and Machine Learning (ML), which, when combined with Robotic Process Automation (RPA), enable automated workers to learn from and collaborate with their human counterparts on cognitively demanding operations.

IA over RPA

Simply put, RPA has restrictions. It is rule-based. Hence it can only handle the linear processes for which it has been programmed. This is excellent for addressing predictable and repetitive jobs and may be used to execute high-volume actions in a fraction of the time it once took, but it cannot comprehend more complex or ambiguous processes. This is the void that IA can fill. It encompasses multiple AI technologies, such as machine learning, structured and unstructured data interaction, intelligent document processing, and natural language processing. When this is combined with the interactive capabilities of RPA, the result is an automation system that is capable of handling a far broader range of high-function jobs.

Also Read: Why Enterprises Need to Add Automation in Integration

Benefits of starting with RPA before incorporating IA

RPA is the basis upon which IA is constructed, collaborating with AI to deliver intelligent automation. RPA is the platform that gives processes AI capabilities. It is a mutually beneficial connection. AI enables RPA to automate more complex procedures, such as interacting with humans, making choices, reading, composing, and comprehending documents. Moreover, RPA facilitates the incorporation of AI into an organization by delivering and implementing AI directly into processes in a systematic and straightforward manner. This increased agility across all business functions has resulted in incremental advantages and the restoration of thousands of hours to the firm. As with IA, the possibilities of merging AI with RPA are nearly unlimited.

Is it too late to move to IA?

At its heart, Intelligent Process Automation (IPA) is a collection of emerging new technologies that integrate basic process redesign with robotic process automation and machine learning. It is a collection of business-process enhancements and next-generation solutions that aid knowledge workers by eliminating repetitive, reproducible, and routine jobs. It can increase customer satisfaction by streamlining and accelerating procedures. The realm of automation continues to evolve swiftly alongside the rest of the technology sector. It may be extremely disappointing (not to mention expensive) to invest in contemporary technology only to find that the industry has moved on by the time the firm has deployed it. The good news is that RPA and IA are integrally intertwined, so it’s not too late, even if an organization has already made a substantial investment in robotic process automation. There is a good chance that the method adopted will give a solid foundation for the IA journey. Transitioning to IA will help the firm keep a competitive edge, and many businesses are already reaping their benefits. Hyper automation has become a top strategic technology trend for its IA scalability and ability to disrupt the traditional business model to increase productivity, innovation, efficiency, and ultimately return on investment (ROI) as contributing factors to its growing popularity. Businesses that are future-proof their operations by integrating IA into their organization will reap the benefits of continuous growth and stability for many years, as the adoption and value of intelligent automation are only projected to increase.

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