What is Hyper Automation?
Hyperautomation refers to a combination of complementary sets of tools that can integrate functional and process silos to automate and augment business processes. Hyperautomation brings together several components of process automation, integrating tools and technologies that amplify the overall ability to automate business processes. It starts with RPA at its core, and expands the automation horizon with AI, process mining, analytics, and other advanced tools. The integration of these multiple technologies enables end-to-end process redesign, automation, and monitoring, delivering much greater value and impact.
Hyperautomation ecosystem:
Hyperautomation refers to a combination of automation tools with multiple ML applications and packaged software used to deliver work. RPA is just one subset of the key technologies helping to drive hyperautomation. Other technologies include intelligent Business Process Management Suites (iBPMSs), integration Platform as a Service (iPaaS) platforms, and decision management systems. Together, they provide a robust toolbox of technologies that enables hyperautomation.
RPA:
RPA is a non-invasive integration technology used to automate routine, repetitive, and predictable tasks. This technology can help organizations with their digital transformation. Some top applications of RPA include customer service, accounting, financial services, healthcare, human resources, and supply chain management.
iBPMS:
Intelligent BPM Suites (iBPMS) have a solid foundation of tools for orchestrating processes and automating tasks within those processes. They (iBPMS) consolidate integration services, decision management, process orchestration, ad hoc processes, and advanced analytics into a single platform. The right orchestration is needed to unify bots, applications, and people to ensure that the automation results are as planned.
What are the benefits of Hyperautomation?
Accelerating Complex Work
Hyperautomation provides a high-speed route to engaging everyone in transforming the business, supported by automating more and more complex work that relies on knowledge input from people.
Deploying Digital Workers
Upskilling RPA with intelligence creates an intelligent Digital Workforce that can take on repetitive tasks to augment employee performance. These Digital Workers are the change agents of hyperautomation, able to connect to various business applications, operate with structured and unstructured data, analyze data and make decisions, and discover processes and new automation opportunities.
The Power of Artificial Intelligence (AI)
AI is what differentiates Digital Workers from standard automation approaches—making RPA+AI the essential ingredients of hyperautomation.
And by uncovering and automating previously inaccessible data and processes, hyperautomation offers another unique benefit: the creation of a digital twin of the organization (DTO). How does that help? A DTO makes visible the previously unseen interactions between processes, functions, and key performance indicators.
Imagine seeing business value creation as it happens—or doesn’t happen—and leveraging the intelligence to rapidly respond as well as identify new opportunities.
Highlights
– Enabling better customer service
– Ensuring business operations and processes comply with regulations and standards
– Allowing processes to be completed much more rapidly
– Providing improved efficiency by digitising and auditing process data
– Creating cost savings for manual and repetitive tasks
– Enabling employees to be more productive
Process mining
Process mining is designed to discover, monitor, and improve real processes by extracting knowledge from event logs readily available in application systems. It includes automated process discovery, conformance checking, and other advanced analytics features by integrating the BPM and RPA platforms.
Highlights
– Intelligent support for process model enhancement by deep data-driven insights
– Identify process inefficiencies at a granular level for focused automations and quick wins
– Auto generation of simulation models and process flows for faster documentation
– Conformance checking to rapidly conduct a root cause analysis
Frequently asked questions about Hyperautomation
Hyperautomation consists of increasing the automation of business processes by introducing Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA). Where almost any repetitive task can be automated and it is even possible to find out which processes can be automated and to create bots to perform them.
What is the difference between hyperautomation and intelligent process automation?
Hyperautomation is an infrastructure of advanced technologies that are used to scale automation capabilities in an organization. It further automates already automated processes, taking business operations beyond individual input.
These automation technologies include Robotic Process Automation (RPA), artificial intelligence (AI), machine learning, process mining, and other tools that identify time-consuming business procedures and establish the means to automate them.
Intelligent automation on the other hand also encompasses tools like optical character recognition (OCR), AI, and machine learning algorithms, but in order to simulate human behavior and intelligence. This type of automation allows businesses to process complex actions that may otherwise require human input, analysis, or decision-making.
While it’s easy to confuse intelligent automation and hyperautomation, it is more accurate to view the former as a subcategory of the latter.
Intelligent automation is just one aspect of hyperautomation technology, amongst others like RPA, natural language processing (NLP), digital process automation, decision management structures, and intelligent business process management (IBPMS) infrastructures.
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