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Hyperautomation: Leveraging Automation Anywhere's Features for Seamless Adoption

Journey to Efficiency: simplifying Automation Blog Series

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Hyperautomation: Leveraging Automation Anywhere's Features for Seamless Adoption

In today’s modern era, there is a great emphasis on improving the effectiveness of the work carried out by organizations and on staying competitive in this fast-paced digital landscape. Hyperautomation has progressed as the most radical strategy to build momentum in the market. This revolutionary idea is not just a mere extension of automation, but a complete solution to automate businesses’ operations. But what does it mean to hyper-automate, and why is it so crucial for today’s business world?  

For years, companies have been collecting data on their activities, creating a huge market for business process software that helps analyze data, improve business processes, and eliminate manual tasks. However, a new opportunity has emerged: leveraging this valuable operational data and business process expertise to train artificial intelligence (AI). Companies that successfully harness this potential could gain a significant competitive edge, a phenomenon that analysts at Gartner have termed “Hyper-automation.” 

Hyper-automation is the application of advanced technologies such as artificial intelligence and machine learning to automate and enhance human tasks and operations. It aims to automate end-to-end processes, minimize human interactions, and improve organizational performance. 

With this blog, learn what is Hyperautomation strategies and how Automation Anywhere features help in seamless adoption. 

What is Hyperautomation?

It is the business discipline that focuses on intelligent automation that assists organizations in tapping into their storehouse of operational data. This helps in the automation of business processes such as clients’ communication, document forwarding, order delivery, data analysis, data processing, and others. According to Gartner, “it’s the combination of multiple machine learning, packaged software, and automation tools to deliver work.” 

So, what does this mean for business? Through this technology, businesses can automate not only repetitive tasks but complex processes across various departments. This means faster operation, fewer errors, and more productivity. Additionally, it frees up the team’s time for more valuable work, resulting in innovation and growth. This approach makes it possible to go beyond the simple automation of an isolated process, to automate almost any process that can be described and controlled digitally. 

Hyperautomation is not only about automating all repetitive tasks but also optimizing decision-making, where AI and ML are included in the process. As such, it contributes to improving organizational performance, flexibility, and agility to succeed in the digital environment.

Benefits of Hyperautomation

 

The technology offers several advantages that go beyond the reach of traditional automation: 

  1. Increased Efficiency: It combines artificial intelligence algorithms, machine learning, and robotic process automation for the optimization of business processes. This integration leads to increased productivity and decreases the time taken to complete tasks. 
  2. Reduced Errors: It reduces the number of errors as compared to human intervention while performing complicated tasks. AI and machine learning help in making sure that activities are performed consistently and in the right manner. 
  3. Cost Savings: This process can improve efficiency by cutting costs since repetitious and mundane processes can be automated. This results in reduced labor costs, human intervention, and better use of existing technologies. 
  4. Scalability: Traditional automation often struggles to scale as business needs grow. Hyperautomation tools, on the other hand, are built to scale and grow with the organization by eliminating low-added value, and manual tasks and delivering insights and data at the speed.  
  5. Improved Customer Experience: It can provide quick and customer-oriented services to clients by automating the various procedures it involves. For instance, one of the American retail companies Mattress Firm was able to bring down the customer checkout time by 20% with help of this technology. 
  6. Enhanced Decision Making: It involves the use of artificial intelligence and data analytics to make predictive analyses and provide real-time insights. This enables organizations to make better decisions, improve operations, and better adapt to market fluctuations.

What Some Key Reports and Companies Are Saying About Hyperautomation Over Traditional Automation

 

Industry reports and leading companies underscore the transformative impact of this technology compared to traditional automation:  

  1. Gartner: Hyperautomation technology has been recognized by Gartner as one of the top strategic technology trends, highlighting its capability to revolutionize business outcomes. The use of artificial intelligence and machine learning enables businesses to automate complex processes and significantly improves business performance. 
  1. Forrester: According to Forrester Research, it is critical for companies that want to remain relevant in a world that is quickly getting dominated by digital technologies. This is why this technology is such a game-changer – it makes it possible for businesses to be more agile and efficient in a world that is becoming increasingly digital. 
  1. Deloitte: According to Deloitte’s findings, it has the potential to deliver substantial financial returns and productivity enhancements, particularly in industries characterized by complex and repetitive processes. 
  2. McKinsey & Company: According to McKinsey, by implementing Hyperautomation technology, organizations can cut expenses by 30-50% and raise speed and efficacy simultaneously. This reduces expenses and improves the robustness of the organization and its ability to adapt and thrive in the long term.
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Role of Automation Anywhere in Helping Organizations Realize Hyperautomation in Reality

Automation Anywhere (AA) is one of the largest RPA providers that helps the AA platform to automate various processes. Hyperautomation strategies are an extension of RPA and Automation Anywhere’s platform that integrates RPA with AI, Machine learning, Natural Language Processing (NLP), and Intelligent Document Processing (IDP). Automation Anywhere is a key enabler of this notion as it gives organizations the solutions and support required to scale the automation efforts. 

Enabling Hyperautomation via Automation Anywhere

 

  1. Robotic Process Automation (RPA): Automation Anywhere is one of the top RPA providers. The RPA component of Automation Anywhere can handle tasks such as data entry, invoice processing, and email management among others. RPA is the building block to Hyperautomation, laying the basis for complex automation initiatives. 
  2. AI and Machine Learning (ML): Automation Anywhere is an advancement of RPA which incorporates AI and ML. The use of AI and ML can help to analyze large datasets and use the patterns learned to make decisions in real–time. This is a critical piece as it enables an organization to automate processes that deal with unstructured data and require adaptive intelligence.
  3. Natural Language Processing (NLP): NLP is another important capability within Automation Anywhere that allows the bots to comprehend, analyze, and converse in human language. This capability is necessary as it provides integration and data processing from one channel or format to another.  
  4. Intelligent Document Processing (IDP): IDP is a subproduct of the Automation Anywhere platform that helps to automate the extraction, categorization, and processing of data from documents. For organizations to achieve Hyperautomation technology, it’s important to implement IDP as it allows the automation of complex document-intensive processes, while maintaining high levels of accuracy and compliance. 
  5. Big Data: AI Studio itself does not handle big data. It’s designed to build, manage, and govern AI Agents for executing cognitive tasks in automation workflows. However, when integrated with other tools and platforms that handle big data, AI Studio can leverage that data to train AI models and make informed decisions. This will be very useful to add scale to the bots without getting into latency issues. 

Final Thoughts

Hyperautomation is rapidly becoming a cornerstone of successful digital transformation for businesses across industries. As per Gartner, 80% of organizations will have this technology on their roadmap by 2024, and the worldwide market for this technology is estimated to reach $597 billion in 2022.  

Automation Anywhere plays a pivotal role in helping organizations realize the vision of this notion by providing a comprehensive suite of tools that integrate RPA, AI, ML, NLP, IDP, and big data analytics. Hyperautomation, powered by Automation Anywhere, represents a significant leap forward in the automation journey, offering organizations the potential to fully automate their enterprise ecosystems. 

Embrace AI-powered automation by IntuEra today and unlock new levels of business efficiency and success. 

Rishi Dwivedi

Author:

Rishi Dwivedi
Robotic Process Automation Developer

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