Hyperautomation is the integration of advanced technologies, such as artificial intelligence and machine learning, with traditional automation tools to enhance the capabilities and performance of business processes. Originally coined by Gartner, hyperautomation takes automation to the next level, enabling organizations to make better use of their data and insights to drive better decision-making.<\/p>\n\n\n\n
Hyperautomation is a rapidly growing trend in the business world. And this is evident from the market, with the hyperautomation market\u2019s value estimated to reach $46.4 billion by 2031<\/a>. This growth is driven by several factors, including the increasing availability of AI and other advanced technologies and the growing need for organizations to improve their efficiency, agility, and compliance.<\/p>\n\n\n\n We understand the multiple benefits of automation in IT operations<\/a> and IT service management<\/a>, so it\u2019s no surprise that organizations are looking beyond traditional automation tools and toward more sophisticated technologies to maximize the benefits for their business. But what sets hyperautomation apart?<\/p>\n\n\n\n Automation and hyperautomation are terms that are often used interchangeably, but there is a difference between the two. Automation refers to the use of technology to automate tasks and processes, reducing human involvement. Hyperautomation, as mentioned previously, is a step beyond automation, encompassing more complex technologies that enable organizations to execute key business processes with greater speed and accuracy.<\/p>\n\n\n\n Here are just two things that set automation and hyperautomation apart.<\/p>\n\n\n\n Level of automation<\/strong><\/p>\n\n\n\n Traditionally, automation refers to the use of technology to automate repetitive tasks but is often limited to activities that are simple in their nature. Hyperautomation extends the capabilities of automation to cover a broader range of processes and tasks, including those that are more complex. This can be the smart routing of an incident to the right resolution team depending on several factors, which can include the nature of the incident, the team\u2019s workload, and urgency.<\/p>\n\n\n\n Human involvement<\/strong><\/p>\n\n\n\n Automation reduces human involvement in tasks and processes, but it still requires some level of human oversight. Hyperautomation, on the other hand, has the potential to completely remove the need for human involvement in certain cases with the right setup.<\/p>\n\n\n\n Though sharing a similar goal, hyperautomation represents a significant step forward in terms of the level of automation that can be achieved, opening up further opportunities on how to best leverage the latest technologies.<\/p>\n\n\n\n Hyperautomation in ITSM<\/strong><\/p>\n\n\n\n Hyperautomation can be applied in many ways, streamlining and optimizing the various processes involved in ITSM.<\/p>\n\n\n\n Incident management<\/a><\/p>\n\n\n\n Automating the incident resolution process can help IT teams quickly identify and resolve incidents, reducing downtime and maintaining the high performance of all IT systems.<\/p>\n\n\n\n Change management<\/a><\/p>\n\n\n\n Hyperautomation can be used to streamline the change management process, ensuring that changes are made in a controlled and efficient manner.<\/p>\n\n\n\n Service request fulfillment<\/strong><\/p>\n\n\n\n Automating the service request fulfillment process can help to quickly and efficiently resolve customer requests, elevating the overall customer experience.<\/p>\n\n\n\n Problem management<\/a><\/p>\n\n\n\n Hyperautomation can be used to automate problem resolution, reducing the time and effort required to resolve problems. Thus, increasing the reliability of an organization\u2019s tech infrastructure.<\/p>\n\n\n\n IT asset management<\/a><\/p>\n\n\n\n Hyperautomation can be used to automate ITAM processes, such as asset discovery, tracking, and maintenance, reducing manual effort and improving the accuracy of IT asset information.<\/p>\n\n\n\n As technology continues to evolve, the use of hyperautomation in ITSM will likely become increasingly prevalent, and organizations that adopt it will be well-positioned to stay ahead of the curve.<\/p>\n\n\n\n Hyperautomation makes use of a range of tools and techniques that, when combined, provide a more efficient, effective, and streamlined way of working. If you\u2019ve been keeping up with\u00a0enterprise tech trends<\/a>\u00a0throughout the years, you\u2019ve likely heard of these technologies before.<\/p>\n\n\n\n Robotic process automation (RPA)<\/strong><\/p>\n\n\n\n RPA involves the use of software robots to automate repetitive and routine tasks. This technology can be used to automate a wide range of processes, from data entry and customer service to more complex tasks, such as financial reporting and analysis.<\/p>\n\n\n\n Artificial intelligence (AI)<\/strong><\/p>\n\n\n\n Artificial intelligence involves the use of advanced algorithms and computer systems to perform tasks that would normally require human intelligence. This technology can be used in hyperautomation for complex processes, such as decision-making and problem-solving.<\/p>\n\n\n\n Machine learning (ML)<\/strong><\/p>\n\n\n\n Machine learning is a subfield of artificial intelligence that focuses on developing algorithms that enable computers to learn from data. Drawing conclusions by observing patterns enables computer systems to adapt to certain scenarios and execute tasks without human intervention.<\/p>\n\n\n\n Big data<\/strong><\/p>\n\n\n\n Big data refers to the large amounts of data that are generated and collected by organizations every day. This data can be used in hyperautomation to provide valuable insights into business operations, customer behavior, and market trends, helping organizations to make better decisions and improve their performance.<\/p>\n\n\n\n Chatbots<\/strong><\/p>\n\n\n\n Chatbots simulate conversation with human users. They provide customers with instant answers to their questions or route them to the right information or person, improving the overall customer experience and reducing the workload for service desk teams.<\/p>\n\n\n\n The combination of all these technologies provides organizations increases the value automation can provide, including key business insights and seamless service experiences.<\/p>\n\n\n\n We\u2019ve already touched upon various advantages of hyperautomation in the previous sections and they\u2019re significant in getting organizations to get ahead of the curve.<\/p>\n\n\n\nAutomation vs hyperautomation: what\u2019s the difference?<\/strong><\/h4>\n\n\n\n
What does hyperautomation involve?<\/strong><\/h4>\n\n\n\n
What are the advantages of hyperautomation?<\/strong><\/h4>\n\n\n\n