What is Hyperautomation? What is it? And Why does it matter?
Staying updated with the techie trends can always lead to overwhelming experiences.
No surprise that these advancements are logically applied to the existing trends. Businesses have to adapt to these changes to be on track. This is where Robotic Process Automation (RPA) and Hyperautomation exist.
Let us dive deeply into the concept of hyperautomation and its significance for your business.
All about Hyperautomation
It is all about efficiently utilizing multiple technologies to enjoy the ultimate end-to-end automation. Robotic Process Automation (RPA) is the initial phase of it and has a range of advanced technologies that comprise Artificial Intelligence (AI), Machine Learning (ML), and advanced automation tools.
Hyperautomation is a powerful tool that enterprises can benefit from in the journey of digital transformation. It helps you make your employees more productive and enhances job satisfaction to a large extent. Above all, customer satisfaction, acquisition, and retention are also enhanced.
How do businesses benefit from hyperautomation?
The perfect combination of robotic process automation enabled with AI helps you discover new possibilities and flexibilities to automate even complicated processes. Here is how you can benefit from it :
- You can understand and automate the tasks and business processes for efficient management.
- Utilize the expert tools and technologies for automation — from discovery to measuring the insights.
- Involve everyone, so that contribution matters to yield a significant impact between humans and bots.
- Efficiently manage the work between the humans and Bots with hyperautomation.
What are its Capabilities?
No doubt, Robotic Process Automation is the key supported by Artificial Intelligence. The perfect combination of technologies makes the process of end-to-end automation. Enabled with the easy-to-use insights and reporting dashboards provides you with excellent options for analytics and real-time monitoring of data seamlessly.
What is the significant difference between RPA and Hyper automation?
It is widespread that most of us think about the similar concepts of RPA and hyper automation. RPA is a straightforward concept of automating recurring and straightforward tasks. Today, many organizations rely on most end-to-end automation processes and a much more complicated and more extensive process.
Let us take an example. Almost all companies would require to extract the information exclusively from the invoices. How do they do that?
Here, a bot would be applied to extract the components of the information from the invoice and enter the same into the records. We must note that this data extraction is a sub princess and involves a more extensive process. So, this sub-process will be carried out by the RPA to ensure that greater accuracy is achieved even though the complete process is not automated.
On the other hand, how do we implement the hyperautomation process?
Every part of the invoice processing can be transformed into an automated process with diverse technologies. Let us take an instance:
- There would be a task capture tool that would help you to define how the employees process the invoices.
- Next, a process modeling tool would be used to capture the process flow and store it completely.
- The process of invoice compliances will be checked using the Machine learning concepts.
- Decision modeling software would check that the process is followed effectively.
Extensive Process of Hyper Automation Platforms
When automation is in your mind, there would be a sequence of toolchains that emerge to make the automation process a complete one. Some of the essential processes involved are :
Task mining is the primary process that involves identifying everyday tasks so that they can be considered repetitive and can be easily automated. Emphasized with centralized control, you can access the detailed workflow, including the steps involved and the time consumed to automate the same without interrupting the ongoing tasks.
Task Capture Process
To perform the seamless automation at the initial stages, the recorders would be enabled on the employees’ desktops to manually capture the process and tasks and then reinvent the RPA opportunities.
This is where the bots can be deployed based on the workflows.
Analytics and Reporting
Even though almost all the RPA platforms will provide the analytics and reporting features, the capability to measure the ROI and gain valuable insights into business processes is the efficiency of the hyperautomation platforms.
The core to understanding here is that the concept of hyperautomation is not just limited to the tools required for automation. It means a lot in terms of protocols required at every step of the automation process — including the princess identification, optimization, design, planning, and development.
How can you make your business a part of Hyper automation?
It is necessary that your field employees are to be a part of this hyperautomation journey to a large extent. You can easily keep track of the field staff with a combination of AI on hand-held devices, which would eliminate the need for manual data entry. As you reduce the manual efforts, the proximity to errors will also get reduced automatically so that employees can focus on more valuable assets.
Some of the significant benefits include:
- Reduction in back end costs
- Enhanced data accuracy and fewer bugs
- Boost workforce productivity
- Efficiency in managing multiple formats of documents
What are some of the top Hyper automation technologies for businesses?
Given a chance that businesses can use a set of tools to automate and manage apps in their toolbox in a single platform, it is called hyperautomation. The worth of this concept was well versed during the unprecedented pandemic where businesses strived to evolve amidst the challenges — managing a remote workforce and more.
Some of the best technologies that thrive with hyperautomation are :
RPA (Robotic Process Automation):
Automating the recurring and straightforward tasks to reduce the human efforts by 70%. Sounds efficient?
Yes, that is what is meant with this! Fewer humans, more bots, but bots should be appropriately configured with efficient workflows to make the process for you. Most of our day-to-day activities like application processing, payment end to end, and data transfers are some more concepts that can be well utilized with the bots.
Intelligent Business Process Management Suites (iBPMS)
IBPMS deal with the invention of physical processes in the virtual realm. It creates an effective workflow for strategic management leading to a cost-effective option with no-code tools.
Process Mining: It gives the businesses to study their currently relied processes, identify the sequence and understand on the day to day activity basis. This process also identifies the same tasks and efficiently transfers the same to the automation.
AI and Machine Learning:
With no donut, we understand that AI is much beyond just data collection. Evolved through the changing business needs, AI dives deep into the data. Even though AI and ML lie on similar fonts, the difference is all in the automatic learning process. To put it simply, AI is all meant to imitate human responses, while the ML concept adapts to the human response and enhances its intelligence concept.
Natural Language Processing (NLP):
NLP is a part of AI that deals with the system’s capability to learn spoken language. It converts the text into a code that a machine can identify so that it helps in automation.
So, with the emerging trends in technologies, is your business ready to harness the power of hyperautomation technologies?
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