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Find the top 3 missing attributes in the enterprise hyperautomation approach.

Hyperautomation is the newest technological trend that offers these intended consequences as firms seek to streamline operations and remove conventional silos. While hyperautomation may be a "new" strategy, its supporting technologies, such as low-code, robotic process automation (RPA), and artificial intelligence, have been around for a while. Even though it doesn't necessarily instal any previously unidentified technologies, it does indicate a very different strategic approach to automation. It would undoubtedly have a profound effect.

Gartner coined the term "hyperautomation" in 2020 to describe a business-focused strategy that uses several different technologies, platforms, and /or tools to identify, assess, and automate a wide range of IT and business operations.

When it relates to managing higher-level tasks, such as coordination, intelligence, predictive insights, informed suggestions, and decision-making, hyperautomation is more like a software suite. It has two main advantages:

  1. It is business-aligned from the start, allowing you to be sure of ROI.

  2. Additionally, it is significantly more effective than conventional RPA.

How it is different from RPA?

RPA is less Effective than Hyperautomation. Here are the 4 differences.

  1. While hyperautomation involves continuous automation of several technologies, RPA is task-oriented and based on individual bots.

  2. While hyperautomation involves a network of technologies, platforms, and systems, RPA will only be developed and implemented on a unified platform.

  3. While hyperautomation produces intelligent, flexible, and efficient processes, RPA delivers efficient operations.

  4. Although automation is only appropriate for specific, autonomous use cases, hyperautomation can automate every aspect of an organisation.

2020 concluded with a surge in demand for hyperautomation. This happens because hyperautomation offers organisations of all sizes several significant advantages.

Using RPA, AI, low-code platforms, NLP, and OCR, hyperautomation enables the quick identification, evaluation, and automation of as many processes as practical. Due to the growing interest in this technology phenomenon, the projection is that by 2024, businesses will have implemented at least three of the twenty software solutions that enable hyperautomation.

What effects can be envisioned, and how will processes change because of hyperautomation?

There are several compelling reasons for firms to implement this year. Here are the top 5.

Reduce the "efficiency" of the company.

A company's efficiency is a financial burden. To achieve operational effectiveness, a business needs have taken many different steps. This may be related to, among other things, personnel training, process design, a lack of collaboration, data management, and security. Enterprises may coordinate and automate activities more effectively using hyperautomation, and they can create an ecosystem that addresses and eliminates efficiency.

Construct a single source of truth.

Modern technology has made the hybrid cloud the new norm; as a result, system integration is crucial for digitalization.

Fortunately, the idea behind hyperautomation is that software and processes must be integrated. As a result, there are smooth transfers between on-premises hardware and data storage. Therefore, even in a very heterogeneous environment, such an architecture makes it possible for systems to join and communicate without issue, leading to improved data accessibility through consolidation.

Enhance user experiences (CX)

Your employees can spend more time on additional value-added tasks like simplifying customer journeys, directly seeing priority customers or a variety of other responsibilities that call for a human touch since hyperautomation can automate complex business operations.

Boost the innovation capabilities.

In this instance, hyperautomation is the primary force behind digital transformation. Low-code platforms enable your company to build and enhance workflows, replace dated systems without worrying about data loss, and deliver new apps in weeks. Organisations that promptly changed their approaches gave their employees a top priority and welcomed new technologies were those that triumphed.

Improve results and decision-making.

Hyperautomation raises the standard of your output regardless of the industry. An intuitive user interface with drag-and-drop components offered by low-code and AI enables the quick creation of apps, workflows, and automation. It makes sure the implementation process is error-free. Any company process may have room for improvement, and you can change the workflow to get better results.


Finally, hyperautomation provides unparalleled analytics tools that are used to gather information and analyse broader organisational trends. Business executives can determine what is working and what is not so they may adjust as needed.

What is the missing element when you plan to adopt Hyperautomation?

A platform for intelligent AI-led automation. Here are the Top 3 missing elements at enterprise-level automation.

An orchestration layer

The requirement of an orchestration layer that should act as a platform should be vendor agnostic and support all necessary technology to enable hyperautomation initiatives from end to end. This orchestration layer should also have the capabilities of AI, like composite Ai and should enable the CoE to perform the task that needs their intellectualness.

Leveraging AI helps the platform be more adaptable to change since it can continuously learn and get better. It will provide enterprises with increased flexibility and scalability, as well as an ever-growing range of potential uses in the future. A well-organized platform that hosts the entirety of your automation workflow in one location throughout the automation lifecycle is missing.

Centralized Operations Command Centre

Opting for hyperautomation as a strategy represents a significant shift in the way companies think about and approach automation and has the potential to impact the way organization operate and do business significantly.

With companies moving in this direction, there would be a sudden increase in the number of vendors that support different technologies. All these vendors would bring vendor-specific command centres. The adoption of Intelligent automation will put pressure on the enterprise IT team as now they would need to manage multiple command centres from multiple vendors.

Missing is a Centralized Operations Command Centre that supports managing different technology vendors. A command centre through which the enterprise OT can manage the utilisation of licences and resources with analytics that helps to optimise the total cost of ownership.

Automating CoE Mundane task

Automation CoE currently makes use of a wide range of technologies and procedures to assist organisations in becoming more efficient. Every process is set up to do the desired actions depending on time, event, or API-based criteria. Manual activation of these combinations necessitates ongoing monitoring. Because the reasoning employed by BOT is not intelligently built, it is underutilized.

What's missing here is a prerequisite for Ai/Ml who are aware of your mode of functioning. has been taught how events are set off, shares analytics and anomalies, and has received manual interventions for education. This needs to be configured once, cuts down on COE monitoring time, and guarantees that your BOTS are used more effectively.

How do we address the 3 missing points?

Our end-to-end platform is equipped with all the tools required to automate various business processes completely. This includes identifying processes that can be automated, figuring out ROI, and everything in between. Automation and AI are challenging. They are integrated by providing the RPA bots with cognitive skills. It involves these five steps:

  1. Idea: Collect thoughts from different business departments to help democratise Intelligent Automation.

  2. Discovery: Find out which business processes in your firm are best suited for automation and which RPA technologies should be implemented.

  3. Build: To reduce project lead time, build best practices for RPA & Intelligent Automation systems.

  4. Control: Real-time management of Intelligent Automation processes and solutions from many suppliers.

  5. Value: Monitor the Intelligent Automation's Return on Investment to evaluate the automation investments immediately.

Utilizing AI helps the platform be more adaptable to change since it can continually learn and get better. It also provides enterprises with increased flexibility and scalability, as well as an ever-growing spectrum of possible uses in the future.

Let us wrap up.

Hyper-automation and artificial intelligence can be used to automate repetitive tasks. We believe that this trend of additional sectors becoming affected by AI will continue for a very long time. These technologies offer substantial corporate insights, allowing the creation of cutting-edge goods and services that meet consumer demand. Effective communication is the key to bridging the gap between humans and technology.

Discover why a hyperautomation platform strategy is essential for your company. Connect with us and ask for a demo. We'll be happy to assist. We welcome you to follow our page and the hashtag #dxsolutionadvisor on LinkedIn.

We hoped you enjoyed reading this blog post and that it inspired some future-oriented ideas for automation.

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