Kennected

What Is RPA And Hyperautomation?

Robotic process automation refers to how business processes can be automated using metaphorical software robots or artificial intelligence (AI). Using hyperautomation, organizations can swiftly identify business and IT processes, vette them, and automate as many as they can.

Think of hyperautomation (digital process automation) as a toolbox of RPA, IA, intelligent business process management (iBPMS) tools, integration platforms (iPaaS), and decision management systems.

Hyperautomation will drive higher-level functioning from task automation to orchestration to intelligence, enabling predictive insights, guided recommendations, processing mining, and adaptive decision making.

How do you optimize processes for your businesses?

What Is Hyperautomation?

It is a framework for combining these advanced tools to strategically automate business processes along with RPA and IPA.

It aims to capitalize on the data collected and generated by digitized processes, leading to improved and more timely decision-making.

These technologies are not mutually exclusive but rather work together to optimize business processes.

Hyperautomation will drive higher-level functioning from task automation to orchestration to intelligence, enabling predictive insights, guided recommendations, processing mining, and adaptive decision making.

Hyper-automation takes RPA to the next level by facilitating intelligent and adaptive processes that recommend the next course of action instead of executing the same activities until told to stop.

Gartner Coined "Hyper Automation"

Gartner uses hyperautomation to describe the approach of automating even complex and lengthy processes as extensively as possible with the help of various modern technologies.

While this process can start with RPA as the core, it also extends to other tools and technologies.

For example, intelligent business process management software (iBPMS) and artificial intelligence (AI) can be expressed in the form of process mining, machine learning, natural language processing (NLP), etc.

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How Do You Create Hyper Automation?

Intelligent process automation incorporates automation tools like artificial intelligence (AI) technologies like machine learning, natural language processing, structured data interaction, and intelligent document processing.

Combining these with AI computer vision, robots can read, see, and process more work.

Because AI simulates types of human intelligence, automation can process higher-function tasks that require some level of reasoning, judgment, decision, and analysis.

What Are The Benefits of Intelligent Process Automation?

Work is faster, better, and more fulfilling with software robots by our side.

But faster and better is never fast or good enough when there’s so much more automation potential to unlock.

If you are serious about RPA, you should be even more serious about scaling RPA in your enterprise and fostering digital transformation.

IPA helps organizations access and analyze data like text or images to gain meaningful insights.

Hyper-automation provides advanced technologies for employing digital workers that perform human-like interactions and responses.

Human workers can also ask these digital workers questions, such as “where may I access that critical report?”

Hyper-automation creates an environment where human workers can find what they need to improve productivity and efficiency.

Define Business Goals

How do you successfully implement hyperautomation in your business? Identify your business goals.

The purpose of hyperautomation is to improve your business processes and consequently speed up and better your operations.

To do this, you need to identify automation opportunities in your business that could benefit from hyperautomation.

Almost any repetitive task can be automated, and it is even possible to find out which processes can be automated and create bots to perform them.

Before going full-on and undertaking your hyperautomation journey, these are a few challenges you ought to consider:

  • Finding ways to measure success (does your chosen tool have advanced analytics?)

  • Calculating the return on your investment

  • Selecting the right hyperautomation infrastructure

  • Getting buy-in from your company’s stakeholders and employees (robust onboarding can help here)

What Is RPA?

RPA software, on a basic level, performs automated repetitive processes much as a human does.

It’s a noninvasive integration technology that uses automated routine, repetitive, and predictable tasks through orchestrated UI interactions that emulate human actions.

While it saves time and money, it is not scalable, which has led to the concept of hyperautomation.

IPA assists with RPA processes by taking unstructured data and turning it into structured data for use with RPA technologies.

Although it involves layers of automation processes, hyperautomation itself is not a process.

Assisted Robotic Process Automation (RPA)

Bots deploy on each desktop portal where the human worker does execute specific activities while the bot performs the more predefined and repetitive tasks.

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Unassisted Robotic Process Automation (RPA)

A managed and centralized server deployed bots via scheduling for automating workflows.

The Digital Twin

People who systematically pursue hyperautomation create a digital (virtual) twin of an organization (DTO).

This digital twin makes it possible to visualize processes, procedures, key performance indicators, and how these interact.

This holistic view with continuously generated information in real-time can open up new business opportunities.

Should Your Company Implement Hyperautomation?

If your company already utilizes RPA, then hyper-automation is the next step in the automation journey.

Nonetheless, it is crucial to consider whether a hyper-automation platform can support all the components you desire for driving end-to-end automation.

Hyper-automation takes RPA out of the back office and into a client-facing environment.

Invariably, the COVID-19 pandemic has accelerated the demand for an always-on, digital society.

Determining where to start, scale, or extend automation technologies depends on many variables to successfully bring a new level of enterprise-wide optimization to processes, data, and people.

The Bottom Line

RPA can improve an organization’s productivity.

While RPA focuses on automating repetitive processes, hyper-automation will streamline all the individual automated processes and provide intelligent automation of various tasks.

Hyper-automation extends the legacy applications of business process automation, surpassing individual processes.

It is the next step to digitally advance the efficiency of an organization’s business operations.

Hyper-automation can enable quick accomplishment of complex work that typically relies on knowledgeable input from employees.

By marrying AI tools with RPA, hyperautomation enables automation for virtually any repetitive task executed by business users.

It even takes it to the next level and automates the automation – dynamically discovering business processes and creating bots to automate them.

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Hop-On The Kennected Train

According to HubSpot, 61% of companies name their top marketing challenge is generating traffic and leads.

If you’re part of that 61%, keep reading because what you’re about to discover could be a game-changer for you and your business (like it has for thousands of people before you).

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Four years ago, the founders of Kennected had the same struggles. They found that lead generation was way too complicated, expensive, and time-consuming, knowing there had to be a better way.

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And more importantly, it helped over 17,000 businesses get new leads and sales for THEIR businesses.

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