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What Can Hyperautomation Do for Enterprises?

By Kelvene Requiroso Print this article Print
 
 
 
 
 

Hyperautomation is the latest buzzword in the evolution of business and technology. What is it, and how can it help your company?

Hyperautomation is one of the latest buzzwords in the conversation on the future of business and technology. According to Gartner, more than 70% of companies and commercial organizations undertake hyperautomation initiatives, and it takes a spot as a top technology trend in 2021.

What is hyperautomation?

What is hyperautomation, and what can it contribute to enterprises?

Hyperautomation is an end-to-end process automation that starts with robotic process automation (RPA) and extends it to all processes, tasks, and tools identified for automation. It creates an ecosystem of process automation tools to augment and optimize business processes. That expansion is not only on the scope of automation but also the depth, as it combines complementary automation tools with sophisticated artificial intelligence (AI) and machine learning capabilities, including process discovery, analytics, design, automation, metrics, tracking, and reassessment.

The objective is to provide a space for machines and humans in bringing productivity to new levels, for quick completion of tasks, increased performance efficiency, and reduction of errors.

How does hyperautomation work?

Hyperautomation makes business processes smarter by optimizing AI, natural language processing, optical character recognition, machine learning, and conversational chatbots. Embracing rapid digitalization is a prerequisite, as hyperautomation broadens the role of advanced technologies and other complementary automation tools.

  • Business process management (BPM). Discovering, modeling, improving, or automating business processes requires a set of tools to orchestrate and automate tasks within processes. Whether the process is structured or unstructured, an intelligent BPM suite (iBPMS) offers a solid foundation of automation tools — from process orchestration to advanced analytics. As automation expands its role, you can use iBPMS to manage and automate processes that extend to functional boundaries, people, machine services, and things. It includes creating tracking metrics, building analytics dashboards, and integrating services, devices, and third-party platforms and applications.
  • Software robotics. Software robotics, also called RPA, emulates human action to automate routine, repetitive, and predictable tasks in a non-invasive way. Hyperautomation adds another layer of automation to RPA, expanding it by deploying technologies to automate processes.
  • Low-code application platform (LCAP). LCAP speeds up the delivery of business applications. Gartner projects that by 2023, over 50% of medium to large enterprises will adopt LCAP as a strategic application platform. It democratizes the design and creation of contextualized business solutions. Users, regardless of their technical expertise, can configure applications to fit their needs. LCAP simplifies processes. You can leverage it to orchestrate processes and model rapid automation. It can serve as a complementary tool for automating processes with a smaller scope, modernizing UI/UX, and supporting automated tasks integration.
  • Process mining and discovery. Process mining transforms logs and event data into actionable insights. It involves discovery where you can record interactions, observe data, and build inputs in real time, allowing you to construct a representation of processes and their variations. Process mining spots inefficiencies in business processes. It can track and configure tasks, generate insights from event logs, simulate models, and integrate its tools with BPM and RPA platforms.

Implementing hyperautomation

The adoption of hyperautomation involves embracing digital transformation and implementation of AI, which would likely fail if a company is unprepared. To successfully implement hyperautomation into the business system, companies should:

  • Define and identify the problems by which hyperautomation better provides solutions. 
  • Conduct a rigorous assessment of people and resources that will manage the project. It includes evaluating interfaces, boundaries, and edge cases that require human intervention.
  • Ensure the quality, veracity, and volume of data. AI projects fail because of bad data.
  • Perform an agile, iterative adoption. Full automation and digitalization of businesses take time.

Benefits of hyperautomation to enterprises

Successful adoption of hyperautomation can do wonders for companies and organizations in a wide range of industries, including banking and financial services, healthcare, manufacturing, transportation and logistics, retail, customer service, security, construction, human resources, information technology, and media and communications.

Here are some of the benefits:

  • Speed up the automation of processes and tasks to augment humans. When processes are optimized and bottlenecks eliminated, humans can accelerate task completion and increase efficiency, boosting productivity and quality of work.
  • Create an environment where machines and humans share a collaborative workspace. Automation is centered around the idea of enhancing and augmenting humans. It is people-centric, allaying the fears of the old notion that machines take over human work. There will be a culture of collaboration between teams and between machines and humans. As a result, the workforce is more engaged, satisfied, and invested in the business.
  • Leverage and maximize the potential of advanced analytics and automation. As data governs our daily lives in a digitally connected world, organizations can harness and unleash the power of data in transforming businesses, lifestyles, and society.
  • Improve business processes, products, and services. Customers will have real-time access to their accounts and data anytime and anywhere. Business processes, products and services, and customer interactions are seamlessly integrated and personalized. And businesses can predict needs and customer behavior and reach new levels of possibility.
  • Increase revenue generation. With enhanced productivity, improved quality of work, optimized costs, and accelerated growth, the promise of quick returns on investment continues to intrigue businesses and investors.
  • Become more agile, resilient, and ready for the future. Companies can adapt to the rapidly changing business environment with ease, developing resilience to global economic uncertainty. The flexibility of the machine-human combination prepares businesses for the future.


 
This article was originally published on 2021-03-25
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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