The Role of Hyper Automation in Digital Transformation Across Industries

According to Gartner’s predictions report “by 2025, 65% of organizations that deploy robotic process automation will introduce artificial intelligence, including machine learning and natural language processing algorithms.” Hyper-automation is a top choice in the “Top 10 strategic technology trends in 2022” by Gartner. But what exactly is hyper-automation? And why should we care about it?

How Does Hyper Automation Work?

Hyper Automation is the result of blending advanced technology pools such as:

  • Artificial Intelligence
  • Robotic Process Automation
  • Intelligent Document Processing
  • Intelligent Process Discovery
  • Advanced Analytics
  • Digital Operational Tools

Gartner’s research suggests “Business-driven hyper-automation is the method of allowing organizations to quickly identify, validate, and automate as many of their approved IT and business procedures as they can with the use of a systematic method. Hyper Automation requires the orchestrated utilization of multiple technologies and tools or platforms.”

Hyper-Automation Is Different From Automation:

In the field of automation, a robot is taught to do certain tasks and improve the efficiency of a process. However, in hyper-automation, the same tasks are executed by a layer of intelligence, which can human brain is augmented.

How Hyper Automation Used In Digital Transformation?

It has affected numerous industries as a majority of businesses are already employing digital technology to change their business processes.

A few examples are given below:

  • Certain hospitals have begun using the Digital Nurse concept to interact with patients at the beginning stage when doctor support is not necessary. Digital Nurses can ask patients questions relevant to their health and their symptoms, and effectively guide them to the appropriate care centres.
  • Medical transcription employs Machine Learning algorithms that allow speech recognition systems to convert speech into text. Machine learning models can be trained using hundreds of speech commands to function more efficiently and efficiently.
  • In addition, claims and billing can be automated by hyper-automation with AI which can work with the claims and bills of different departments and combine them. RPA will then send claims along with all the required documents.
  • A brief review of Artificial Intelligence.
  • The banks have been applying advanced analytics to application screening to assess the capability to pay customers by looking at several parameters, which are typically not possible with manual screening. This will assist banks in identifying non-performing assets.

How Hyper Automation Leverages Automation Technologies?

Hyper-automation is an extension to automation tools that are used to optimize and automate the process by leaving ring different advanced technologies. Improve your business processes by incorporating AI to speed up automation to the max. A business can begin by using Digital Ops tools that are intelligent:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Natural processing of languages (NLP)
  • Optic character recognition (OCR)
  • Chatbots for conversation 

The Digital Ops toolbox provides a broad range of technology options that go beyond RPA as well as BPM workflow engines and decision management suites process mining and low-code application platform (LCAPs) and many more.

It’s crucial to establish the course of your journey. You should create an outline of your preferred result and the areas that have to be improved. When the plan is complete and a company can begin looking at methods to implement hyper-automation.

How Has Hyper Automation Become A Digital Transformation Strategy For Businesses?

  • Hyper-automation leads to the creation of two twins of the company (DTO)
  • It is possible to reduce the time required by completing tasks within only a short amount of time
  • It may help in reducing the workers who are required in other areas which require human intervention.
  • It will free the top management to concentrate on strategies development.
  • It earns good money by the reduction in cost.
  • It reduces the risk
  • By optimizing the process it is possible to improve efficiency and increase the size of the company.
  • Today, Oil & gas, mining and healthcare, as well as utilities are attracted by high-speed automation.
  • Gartner predicts that by 2024, at least 30% of the operational expenses can be reduced if businesses implement hyper-automation technology.
  • It’s about time that businesses move to the future with hyper-automation.

Software industry experiencing massive change due to hyper-automation as well. How Has Hyper Automation Become A Digital Transformation Strategy For Businesses? is a significant way to reduce the amount of technology required and help make support and development teams more productive in these methods:

Simple Work Processes:

With numerous technologies like AI as well as machine-learning operating at the same time, the manual work of employees is reduced. For example, customer service executives can reduce the number of questions with chatbots powered by AI that can respond to the majority of questions

Avoid complicated coding with a readily accessible collection of code libraries such as ML developers do not have to invest a lot of effort in creating an entire product from scratch. The code that comes with it can be modified to suit the operating system.


By using hyper-automation technology employees can eliminate the need for manual or redundant tasks like data entry. In lieu, they can concentrate their efforts on the most important developmental work, such as the development of new ideas.

Hyper Automation Use Cases

Technologies like Robotic Process Automation (RPA), Artificial Intelligence (AI) and Low Code Application Platforms (LCAP) which are frequently part of hyper-automation projects are considered to be process-agnostic since they can be used across different industries and utilized in a variety of business applications.

Banking and Finance

Financial services, banks and the insurance sector handle large volumes of information and are involved in numerous procedures that require many resources and hours to efficiently manage. Beyond their core functions, they also have to handle regulatory compliance, back-office operations including sales and marketing Enterprise support, fraud detection, among other things. The majority of these processes such as 24/7 customer support, need to be functioning and available 24 hours a day. Hyper Automation simplifies these processes and makes them more efficient and more efficient, leaving less chance of errors. By using AI and RPA fraud can be thwarted by continuous surveillance.


The healthcare industry is faced with a variety of problems ranging from patient care consultations and scheduling of staff to the billing process, as well as settlements. Healthcare companies also collect sensitive information as data from patients that, if properly compiled, can be extremely helpful in providing appropriate treatment plans for patients. How Has Hyper Automation Become A Digital Transformation Strategy For Businesses? could benefit the health industry because it strives to completely automate these processes in a way that is intelligently increasing efficiency, cutting costs and allows healthcare professionals to better serve patients. How Has Hyper Automation Become A Digital Transformation Strategy For Businesses? also aids in managing inventory as well as the procurement of drugs and managing resources. Healthcare also happens to be among the most controlled industries, and hyper-automation will assure that the rules are adhered to.


Construction sites employ hundreds of workers working in dangerous environments, with their safety being assured largely through their conformity to safety guidelines and inspections. Incorrect machinery could pose additional dangers to workers’ safety and financial risks to companies. Utilizing cutting-edge technologies for hyper-automation, construction businesses can alter their methods of working and ensure the safety of their workers and also speed up and decrease the chance of errors.

Retail and E-commerce

E-commerce and retail is a flourishing industry with both front-end and back-end issues that can be solved by hyper-automation projects. Tools for hyper-automation like RPA can automate back-end processes like billing, inventory management procurement, shipping and billing. For front-end processing, AI components of hyper-automation can be used to create targeted marketing campaigns that include specific email campaigns, social media advertisements as well as loyalty programmers. Ai can also help analyze customer data, feedback from customers and pricing competitive to boost sales and profit.

Brick and mortar stores are also shifting toward digital transformation, largely because of the growing online competition. How Has Hyper Automation Become A Digital Transformation Strategy For Businesses? is a way for businesses to navigate these challenges by automating processes like inventory and warehouse administration, management of orders suppliers management, payments and even data management. Innovative technologies such as face recognition could provide customers with customized options and/or loyalty points upon entering the shop.

The Benefits of Hyper-Automation

  • Reduction in operational costs and mistakes
  • Increased productivity and performance through machine learning
  • Improved efficiency and accuracy through the elimination of manual tasks that are repetitive and repetitive.
  • Collaboration between teams has increased
  • Instant insights

How can this new technology impact your business?

Let’s address that question by going through several examples of hyper-automation across various sectors.


Amid fluctuating prices for fuel as well as concerns about the environmental impact of diesel cars, and a gradual shift to electronic vehicles, the automobile sector is fighting a difficult struggle How Has Hyper Automation Become A Digital Transformation Strategy For Businesses? could help automobile companies navigate these turbulent waters. AI-powered hyper-automation tools will automate a range of aspects of the auto business, including assembly of the vehicle, product testing, inspection and quality control.

Collaborates with a variety of automotive companies to automatize their processes and business operations. We recently created an automated system to process financial data for an OEM manufacturer with its headquarters in India. The solution for hyper-automation has helped reduce the time required to process documents and also the rate of errors. We also designed an automated system to inspect vehicles for one of Asia’s top automobile manufacturers.

Brisk Logic  AI team designed tablets with integrated positioning guidance that can automatically take standard photos of vehicle components. The system processes these images in real-time to detect the visible defects in terms of type, location, and extent, which includes ones that are invisible to the naked eye. The client was able to report 90% accuracy in the results and reduced time to assess and improved efficiency.


The retail industry was already facing the threat of e-commerce companies being hit with a huge loss because of the epidemic. Demand for non-essential products decreased rapidly, disrupting sales forecasts. More people were switching to online shopping to avoid physical interaction with other customers. The supply chains across the globe have become unreliable due in part to the non-uniformity of locks and regional lockdowns. Retailers should review their strategies to retain customers and outdo competitors. Through a change in business strategies, businesses should also prepare for the digital revolution.

A study of three years done by Mckinsey says that nearly 50% of the tasks within retail could be automated. Retailers can automate their front-end and back-end inventory management, procurement products, charging, management of credit and logistics by using the appropriate solution. Companies can use analytics to determine the most popular and slow-selling products. Store staff are the primary source for brands to verify that shelves are always full and that the items are appropriately displayed. However, auditors can’t get real-time data. The devices that support hyper-automation will show the status of shelves to aid store managers.

Brisk Logic can automate manual steps of the process of forecasting inventory and create triggers, for instance, that alert a vendor that a store or a group of stores is in a shortage of certain products.

Customer Service and BPOs

The fundamental premise upon which the BPO sector is based is customer satisfaction. BPO executives are people at the front of any business that are always resolving disputes for their customers. Being aware of and understanding customer requirements and behaviours as well as coming up with appropriate solutions is a challenging task. Many customers are unhappy after an interaction with customer service. Businesses can employ AI or ML to understand and study the behaviour of customers. The data gathered could be utilized to develop better responses to the frequently commonly asked questions. BPOs already utilize RPA to replace manual tasks by automating responses. They must go an additional step and go beyond per-automation by utilizing AI as well as ML. This will significantly decrease the number of customers who leave and boost customer satisfaction.

For BPOs, Brisk Logic can deliver automated solutions that utilize artificial intelligence-based natural language processing techniques for automating tasks in which a human has to read, extract and deduce the information in a document before performing the appropriate action frequently. These tools can carry out these tasks that are comparable to human output, if not exceed their capabilities, but at a much smaller cost. We also create hyper-automation solutions for tasks that rely on human perception and require repeated visual inspections performed by an agent human. Our machine vision-based AI solution can help automate these tasks by achieving higher efficiency than humans while minimizing errors, controlling costs as well as optimizing processes and improving outcomes.


The lockdowns in the local area shook global supply chains, affecting companies around the world in the year 2020. After months the supply chains are recuperating from the harm that the virus has caused. The industry is also dealing with the rising cost of freight as well as uncertainties in supply and demand. In the event of unexpected delays or damages, they are a major concern for those working in the logistics industry. Hyper automation could reduce these risks and help organizations become more flexible and resilient. RPA or AI can help automate many processes within the logistics industry including data entry, procurement Demand and Supply Management as well as tracking shipment movements, last-mile delivery and quality control.

One of the most effective tools in technology for logistics is digital twins that are used for your supply chain. Digital twins are a digital replica of the supply chain. It creates a digital version of supply chains, thereby increasing access for all involved. Companies can spot and fix any issues or delays that arise in real-time using digital twins.

Brisk Logic can create hyper-automation systems that streamline processes like shipping management and tracking orders as well as cargo booking and shipping management.


After smart cars and smartphones are over, it’s time for smart factories. As Industry 4.0 is already in use and development, companies around the world are heading toward a major digital transformation that is not possible without automation, but rather hyper-automation. Manufacturing companies can integrate RPA along with AI or ML to improve their processes and make them more efficient and cost-effective. Automation tools can help streamline operations, back-end processes as well as fundamental industrial processes. They can also automate quality control and predictive maintenance and procurement, inventory management as well as quality assurance, and others.

Hyper automation solutions based on AI can quickly detect imperfections and notify the system to make corrective steps quickly to avoid loss. Image processing is able of assessing the performance of hundreds of machine learning techniques, and then highlight flaws by collating them into cloud-based databases. The system then analyzes the results to determine the risk assessment and offers corrective measures for courses.

The world is constantly changing and your ability to leverage technologies like hyper-automation is crucial for your business’s development and growth.

Brisk Logic is a great partner in the process of digital transformation. We can develop and provide high-speed automation solutions across various industries, including manufacturing, retail and BPOs.


Many organizations and businesses are beginning to realize the benefits of hyper-automation. Industry leaders believe that greater efficiency, precision and reduced operating costs will ensure that hyper-automation will gain more acceptance over the next few years.

But, working with the right partner for innovation will take a lot of burdens off your shoulders and allow you to develop rapidly, get to market quicker and keep ahead of the pack. If this is the type of support you’re seeking, get in touch.


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