Growing customer demands, service complexities, and technological sophistication are increasing the need for high performance while ensuring costs stay within the ROI. Moreover, in the last two years, as remote work culture increased, it necessitated a corresponding rise in data sharing over broad areas, requiring organizations to adopt robust data security, advanced analytics, and intelligent automation initiatives to match the scope of services. These shifts accelerated the pace of digital adoption in the market.

Enter hyperautomation services. Hyperautomation underlines the necessity of identifying the right balance between replacing manual, repetitive tasks with automation and, in the process, optimizing complicated business processes to minimize steps. It focuses on determining viable automation possibilities and then generating suitable tools, such as scripts, bots, software robots, and workflows that might leverage intelligent document processing, process mining, Digital Process Automation (DPA), Intelligent Process Automation (IPA), or cognitive automation components.

So, what is hyperautomation?

Ever since Gartner mentioned Hyperautomation in its top strategic technology trends for 2021, the term has been doing the rounds in the corporate round-tables. In layman's terms, hyperautomation refers to the process of automating tasks end-to-end for different business processes, functions, and services in the IT landscape to drive business outcomes. To do that, it leverages advanced technologies such as Artificial Intelligence (AI), Natural Language Processing (NLP), Robotic Process Automation (RPA), Machine Learning (ML), process mining, optical character recognition, and many more.

The main differentiating factor with hyperautomation services is that instead of adopting just one technology, it combines the capabilities of all these technologies to enable an organization to reduce manual and repetitive business processes, improve productivity across all areas and save costs. By adopting this agile approach, enterprises can scale automation and create far more independent processes and systems to rapidly identify and extract data, gather insights, streamline processes, enhance customer experience, and achieve greater efficiency.

How does it work?

Hyperautomation services comprise three significant components –

  • Automation
  • Orchestration
  • Optimization

As hyperautomation is automation but more advanced and intelligent, to get a hyperautomation strategy to take off, a business must have a strong foundation in automation. This mostly includes having robotic process automation to automate processes, IT automation tools for data warehousing, along with a few other intelligent automation solutions that are essential to accommodate different business users and verticals.

Orchestration involves the process of combining different technologies in a wider framework to ensure integration and coordination of all the tasks so that they work in perfect sync.

The last step, optimization, is an added layer of intelligence that helps in achieving better integration of the automation and orchestration process via validations and learning.

A hyperautomation platform typically includes the following steps:

  1. Connecting workflows, processes, and environments and offering a common platform to run end-to-end automation activities.
  2. Identifying structured and unstructured data and other inputs from various sources and housing them on a steady database to be accessed by multiple automation processes.
  3. Forecasting outcomes by leveraging the data collected during operations via intelligent technologies such as AI, ML, etc.

Why are hyperautomation services important in business digital transformation?

Hyperautomation removes the need for a single technology dependency to get multiple processes running. Instead, it enables workers to reimagine their tasks without any limitations, thus increasing worker satisfaction and helping them perform better in cognitive and customer-facing tasks. Moreover, IT processes such as asset discovery, patch management, user provisioning, issue management, dependency mapping, incident management, updates, generating alerts, and change management can be identified and resolved quickly with hyperautomation practices. It significantly minimizes operational costs and helps detect IT operational processes with automation opportunities that can be redesigned and improved.

Hyperautomation is being hailed as the next wave of Artificial Intelligence for IT Operations (AIOps). Offering real-time insights helps in understanding how different IT processes and functions interact to provide actionable insights into IT systems’ performance for seamless and streamlined results.

In businesses, hyperautomation works in the form of a micro journey where individual steps are based on a smarter and hyperautomated approach that speeds up the process to achieve business process management faster.

Some of the high-impact benefits that businesses can achieve by implementing hyperautomation include:

  • Enhanced business efficiency

    In businesses, one of the substantial benefits of hyperautomation services is enhancing productivity. By automating time-taking and virtually any repetitive task, it allows employees to devote time to other critical tasks. It also boosts work efficiency by detecting errors faster and in real-time to expedite project deliveries and improve productivity.

  • Reduced cost and improved ROI

    Hyperautomation services enable the integration of several automation tools and technologies in business process management, thus making it easier to improve profits and reduce costs. The financial benefits not only augment business efficiency but also boost employee productivity and revenue, and increase customer satisfaction too. By 2024, Gartner expects that organizations will reduce operational costs by 30% after combining hyper-automation technologies with remodeled operational processes.

  • Dissolves automation restrictions

    There is only so much that one can do with a particular technology. However, with hyperautomation services, businesses can utilize the combined capabilities of multiple technologies, thus bypassing any challenges. Moreover, it also allows digitizing and automating every domain and workflow, from the usual work to more advanced tasks that require greater multiple-process integration.

  • Streamlines integrations

    Businesses usually operate with a host of interconnected applications and devices where continuous data transfer keeps taking place. Now each application is managed and operated by a specific department and manually overseen by employees. Hyperautomation services remove this siloed approach and manual dependency by integrating advanced technology to simplify data sharing across multiple devices and facilitate smoother and faster data access.

  • Offers real-time project updates:

    Success depends on how well a business can manage, update, and close tasks faster without any delay. Hyperautomation services enable enterprises to get a real-time view of pending tasks and notify the project coordinator in case of delays. It also allows teams to access information regarding the number of open requests and the project status, among others.

What are Hyperautomation tools?

Hyperautomation encompasses various tools, technologies, and platforms. They include –

  • Robotic Process Automation (RPA)
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Intelligent Document Processing (IDP)
  • Big Data

What can it do for your business?

Hyperautomation finds multiple uses across various industry sectors –


The healthcare industry faces complexity in managing unstructured data, patient care, staff scheduling, consultations, invoicing, and settlements. Moreover, every year, the healthcare industry gathers a high volume of sensitive patient data, which calls for adhering to stringent compliance guidelines. AI, intelligent automation, robotic process automation, AI computer vision, chatbots, process mining, and digital twin are some of the key use cases of hyperautomation in the healthcare industry. By marrying AI tools with all these technologies to enable end-to-end process automation, hyperautomation promises to reimagine patient services, regulatory compliance, R&D, and insurance processing.

Retail and E-Commerce Sector

increases productivity and agility, brings down cost and boosts ROI, accelerates speed and accuracy, improves customer experience, and paves way for targeted marketing with AI-driven intelligent assistants. On the other hand, hyperautomation can transform the retail sector in multiple ways—personalize customer experience, forecast demand, maximize customer lifetime value, redesign store layouts, design and develop new products, create dynamic pricing, and empower customer support teams.

Banking and Financial Sector

In the banking and finance sector, hyperautomation can significantly improves a few key areas, including the processing of unstructured data collected across disparate sources to optimal processing, automating business processes and workflows to impact productivity and efficiency, enabling data-driven decision-making by leveraging artificial intelligence, machine learning, and predictive analysis. It can also be used for financial fraud detection.


We are slowly entering a hyper-driven world, and every enterprise is keen to fit into that world. IT departments across industries have a massive task to reduce manual tasks and leverage advanced automation as much as possible. Gartner says businesses can see a 30% cost reduction within just four years of integrating hyperautomation into operations. It will not be wrong to state that, going forward, hyperautomation can be the make-or-break factor for enterprises differentiating the leaders from the rest.

Eager to know what transformations hyperautomation can bring to your organization? Visit Cloud4C Hyperautomation services for detailed information.

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Team Cloud4C
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Team Cloud4C

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