• Hyper-automation is a term used to describe the integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and other forms of intelligent automation to automate complex business processes end-to-end.
• Due to the growing interest in this technology phenomenon, Gartner anticipates that by 2024, businesses will have implemented at least three of the twenty software solutions that enable hyper-automation.

We were taught that steam engines were deployed to automate the textile industry during the First Industrial Revolution towards the end of the 18th century. The Second Industrial Revolution brought electricity and the internal combustion engine, while the Third Industrial Revolution brought digitalization and process automation around the end of the 20th century.

The Fourth Industrial Revolution is now here, bringing in robotics, the Internet of Things (IoT), and Artificial Intelligence (AI). It is a process that is compelling developed nations to engage in reindustrialization to regain their self-sufficiency in consumer goods production. Hyper-automation, also known as digital process automation (DPA) or intelligent process automation (IPA), is one of the most significant technological developments of the next several years in this new setting.

Hyper-automation is a term used to describe the integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and other forms of intelligent automation to automate complex business processes end-to-end.

This process is the next phase of automation, where the focus is on automating repetitive and manual tasks and creating a fully automated system that can handle complex workflows, unstructured data, and decision-making processes.

Hyper-automation combines multiple automation technologies and tools to create a cohesive system that can work seamlessly across different functions and departments. By automating complex processes, hyper-automation can help organizations reduce costs, improve operational efficiency, enhance customer experience, and gain a competitive advantage in the market.

Hyper-automation Outperforms RPA in Every Way

Although hyper-automation tries to automate the entire process, i.e., in sizeable enterprise-level transformation, RPA employs software bots to automate specific activities. In essence, it aids in an organization’s digital transformation process.

RPA is enhanced by hyper-automation in terms of:

• The tools used are task-based and constructed on individual bots for RPA, whereas technology sequencing is used for hyper-automation.
• Internal workings: Hyper-automation is a network of technologies, platforms, and systems, unlike RPA, which is platform-specific.
• The end result: While hyper-automation produces intelligent, flexible, and efficient processes, RPA produces efficient processes.
• Future potential: Whereas automation can only be used for specialized, isolated use cases, hyper-automation can automate practically every aspect of a business.

RPA, AI, low-code application platforms (LCAP), and virtual assistants can all be used to quickly identify, evaluate, and automate as many processes as it is very practical. Gartner predicts that by 2024, businesses will have implemented at least three of the twenty software solutions that facilitate hyper-automation, due to the increasing interest in this technology phenomenon.

How Can Hyper-automation Transform Business in 2023

You might wonder what makes hyper-automation such hype. Well, it has the potential to revolutionize business operations tremendously. According to CRM Consultant, GlobeNewswire estimates that the present value of the worldwide hyper-automation market is USD 549.3 million, with a predicted CAGR of 22.79% to reach USD 2,133.9 million by 2029. Here are seven ways how hyper-automation will transform business in 2023:

Faster and more accurate decision-making

Hyper-automation will enable businesses to make faster and more accurate decisions by automating the analysis of large amounts of data. AI and machine learning algorithms can analyze data and provide insights to decision-makers, enabling them to make more informed decisions. This will improve operational efficiency, reduce errors, and increase the speed of decision-making.

Hyper-automation guarantees an implementation path devoid of errors. In addition, it provides superior analytic solutions that can be utilized to gain insights and comprehend organizational trends on a broader scale. Executives can monitor and distinguish what is successful and what is not.

Improved customer experience

Hyper-automation automates complicated business operations. Hyper-automation will transform the way businesses interact with customers. With the help of AI-powered chatbots, companies can provide personalized and efficient customer service around the clock. This will lead to improved customer satisfaction, loyalty, and retention.

To improve CX, you can also obtain insights into customer behaviors and analyze agent interactions, the number of complaints, and the frequency of first-time problem resolution, among other things.

Reduced costs

Hyper-automation will enable businesses to automate repetitive tasks like data entry, invoice processing, and report generation. This will reduce the need for human intervention, thereby lowering labor costs. Additionally, automation reduces errors and increases efficiency, lowering operational costs.

According to Gartner, combining hype-automation technologies with redesigned operating processes will reduce costs by 30% by 2024.

Accelerate the pace of innovation

Hyper-automation serves as the key driver for digital transformation. Low-code platforms allow businesses to design and improve processes, replace outdated systems without fear of data loss, and deploy new apps within weeks.

Establish a centralized truth source

The new hybrid cloud standard has made system integration a requirement for digital transformation. The concept of hyper-automation is predicated on the integration of software and processes. This results in seamless exchanges between on-premise equipment and data storage. Consequently, this architecture enables systems to connect and communicate easily, resulting in enhanced data accessibility through consolidation, even in a highly diverse environment.

Improved compliance

Hyper-automation will help businesses comply with regulations and standards by automating compliance-related tasks like data privacy and security. This will reduce the risk of non-compliance, fines, and reputational damage.

Competitive advantage

By utilizing hyper-automation, businesses can obtain a competitive advantage by responding to changing market conditions and innovating more rapidly than their competitors. From basic automation to enhanced artificial intelligence and machine learning, organizations must reach hyper-automation and deep learning.

Conclusions

With the increased usage of low-code/no-code tools, digital twins, and mass-market robotic process automation, the hyper-automation strategy is predicted to reach new heights and impact the corporate world in 2023. By merging AI with automation, businesses can focus on more inventive solutions that reliably satisfy ever-changing market demands.

• Although the power of automation cannot be disputed, the employee experience is still subpar because some level of technical knowledge is still required to create this automation.
• According to UiPath, the main advantages include an increase in employee productivity, a decrease in service desk wait times, and an improvement in employer net promoter scores.

UiPath Inc., a pioneer in robotic process automation, recently announced that it would collaborate with Amelia US LLC, a startup in conversational AI, to develop a fully integrated digital agent for workflow automation.

According to UiPath, the partnership is all about providing employees with easier user experiences because they frequently struggle with the technical aspects of developing automated workflows.

Through the automation of numerous repetitive work-related tasks, such as data entry, UiPath’s RPA platform can assist businesses in lowering costs and operational errors. Its platform is run by AI models that are trained on how people carry out these tasks. These models then produce computer programs called software robots that can mimic these workflows, eliminating the need for manual labor.

Although the power of automation cannot be disputed, the employee experience is still subpar because some level of technical knowledge is still required to create these automations.

This dynamic is what the alliance with Amelia hopes to alter. The new digital agent allows employees to submit support requests via chat, messaging, or voice. Amelia’s conversational digital agent processes the request later and will integrate with UiPath’s software robots to provide a workflow automation resolution. Amelia will then provide the employee with a summary of the resolution via their preferred channel once that task has been completed.

Amelia’s AI assistant will “remember” any solutions provided to better assist with similar problems should they arise. Requests that are more complicated and cannot be resolved immediately will be escalated to support agents, and whatever resolution is provided then will be remembered by Amelia.

According to Dhruv Asher, Senior Vice President of alliances and business development at UiPath, the company is driven by the idea that automation unleashes the limitless potential of people. As a result, it is essential to transform and improve the employee experience.

He added, “In Amelia, we found a partner that is both home to a market-leading conversational AI solution and perfectly aligned with our mission and vision for automation.”

With immediate, round-the-clock solutions for various information technology and administrative tasks, such as application troubleshooting, password resets, vacation balance checks, payroll changes, VPN access, and more, UiPath claims that customers who integrate UiPath with Amelia will empower their employees and raises satisfaction.

According to UiPath, the main advantages include an increase in employee productivity, a decrease in service desk wait times, and an improvement in employer net promoter scores.

Holger Mueller of Constellation Research Inc said, “The partnership between UiPath and Amelia is a smart move because it helps customers who get a leading AI solution in conjunction with their UiPath solution. It is good for UiPath, too, as the vendor can focus on its core product and does not have to redirect R and amp;D resources to AI capabilities. Finally, it’s a win for Amelia because it finds more usage of its AI technology.”

• Now platform San Diego provides hyper-automation with low-code and AI capabilities to enrich their product.
• The new RPA Hub will help enterprises design, monitor, and manage digital robots for automation.

Service Now, a firm offering cloud-based solutions that define, structure, manage, and automate enterprises’ operational work processes, launched an updated version of its Now platform, enabling an all-new RPA hub and an enhanced visual experience.

Officially dubbed as the Now platform San Diego, the release has brought new Robotic Process Automation (RPA) capabilities to strengthen enterprises with the “true potential of hyper-automation.” It will also and assist them in designing intelligent, quick, and efficient work processes to ensure productivity. The platform is now available for public use.

Demand for Hyper-Automation

Today, businesses, irrespective of the sector, are embracing digital transformation to stay afloat in a competitive environment where the market keeps evolving. However, disconnected critical systems and dependence on specialty Centers of Excellence (CoEs) often interrupt this shift, resulting in the costly, repetitive, and manual work of connecting the silos for your workforce.

Hyper-automation, which includes orchestrated use of advanced tools like Artificial Intelligence (AI) and low-code application development, overcomes this challenge by quickly spotting, vetting, and automating as many enterprises and IT processes as possible. If you make the proper use of this technology, you will be able to connect advanced, traditional, or unstructured data and seamlessly eliminate the silos, boosting digital transformation.

Now platform San Diego Empowers Hyper-automation

The newest release is completely about enhancing the product. Earlier, ServiceNow concentrated on hyper-automation with the Now platform’s low-code and AI capabilities. As the organization describes, the Now Platform San Diego brings Automation Engine, an all-inclusive tool of automation integrated solutions that brings together the power of the Integration hub and Robotic Process Automation (RPA) capabilities of the latest RPA Hub. This strategic move has precisely come after the firm’s acquisition of IntelliBot, a Hyderabad-based robotic process automation company.

When combined with the platform’s current technologies, the new offering helps businesses automate repetitive and manual tasks and connect any system to ServiceNow to achieve three times faster value. The RPA Hub provides a crucial management interface, assisting businesses to develop, track and manage digital robots for automation. Thus, this process is a perfect way to simplify and enhance employee productivity while minimizing manual efforts and errors.

The RPA hub currently features more than 1300 in-built components, such as actions, connectors, OCR, and computer vision, to boost the time to value for automation efforts. It also features an RPA desktop design studio, which helps users to develop, test, and execute both attended and unattended bots as they scale automation faster. The studio also comes with a built-in connection Flow Designer, which allows users to pass information to and from their ServiceNow instance easily.

Better interface:

ServiceNow is also revamping the interface of the Now Platform, which has been named the Next Experience. According to the organization, the aesthetic modification will get most of the crucial work at the fingertips of the users, helping them to accomplish it quickly. This gets all the applications under one consistent experience, and features include a revamped content library, latest iconography, typography, and illustrations. Furthermore, more focus has been put on customizing with options to define accessibility and layout preferences, among other things.

As a part of the Next experience, the users will receive 25 purpose-built workspaces (like Cloud Operations Workspace, HR Agent Workspace), allowing access to the new design, surface insights with dashboard, and machine learning-based tasks and action suggestions. ServiceNow claims that organizations will be able to field requests/issues more effectively with the workspaces.

Moreover, the new platform also delivers targeted vertical-specific solutions to assist banks, insurance businesses, telecom, and technology providers boost their digital transformation efforts.

The partnership has made Automation Anywhere’s Automation 360 platform available on Google Cloud. Both the companies mutually aim to develop AI (Artificial Intelligence) and RPA (Robotic Process Automation) booster solutions. It also plans to merge RPA capabilities with multiple Google Cloud products and closely align go-to-market teams with boosting global businesses’ scale RPA capabilities.

“By partnering with Google Cloud, we can help organizations leverage intelligent automation capabilities at a massive, global scale, and dramatically decrease the amount of time that teams spend on their most common, repetitive business tasks,” says Mihir Shukla, CEO, Automation Anywhere, Inc. “Intelligent Automation can be an important asset in digital transformation, particularly as global enterprises adapt to a new reality of distributed work. We are delighted to work closely with Google Cloud to support business transformation with cloud and automation.”

Research from Automation Anywhere states that by next year, more than half of the businesses plan to increase their automation investments. Amongst these, about 67% aims to deploy RPA in the cloud in the coming next 12 months, looking at the need for remote work solutions during the global pandemic. So far, Automation Anywhere has delivered more than 2.8 million bots to some of the largest enterprises in the world.

“As businesses increasingly run in the cloud, RPA provides the means to streamline processes across both cloud-native applications and legacy, on-premises systems – ultimately helping employees spend less time on repetitive tasks and more time supporting business-critical projects,” says Thomas Kurian, CEO, Google Cloud. “We are proud to partner with Automation Anywhere to help businesses quickly deploy and scale RPA capabilities on Google Cloud and to address business challenges with solutions specially designed for industries.”

Automation Anywhere and Google Cloud together have the vision to develop solutions geared toward industry-specific use cases, focusing on financial services, healthcare, supply chains, and life sciences, retail, telecommunications, and the public sector.

Moreover, Automation Anywhere has plans to migrate Automation 360, its cloud-native, web-based automation platform, to Google Cloud as its primary cloud provider, which will become Google Cloud’s preferred RPA partner. Automation Anywhere solutions are now available on the Google Cloud Marketplace. Consequently, it can be used in the cloud, hybrid, and on-premises settings, offering consumers a single view and control pane for all properties and environments.

“Today, RPA has become an integral part of businesses digital transformation efforts. Front office employees at financial services companies, call centers, human resources or finance offices, IT centers, and more handle thousands of manual, repetitive tasks each day, such as invoice processing, lending decisions, and employee onboarding,” the company says.

“In the back office, IT teams and developers spend time managing APIs, entering data, and ensuring that new, cloud-native applications can connect with legacy, on-premises systems. RPA, along with machine learning (ML), computer vision, deep learning, and analytics, can help businesses streamline these processes and better support their employees with the development of AI-powered software bots capable of managing an infinite number of tedious front-and-back office tasks.”

Automation Anywhere will be made available on Google Cloud in the first half of May 2021.