Hyperautomation: Understanding the Future of Automation

by Burak Koçak
1 year ago

Over the course of the last few decades, automation has undergone tremendous development. Businesses have progressed from basic rule-based tasks to more intricate processes, leading to new opportunities for automating tasks, cutting costs, and increasing productivity. Yet, the advent of hyperautomation has ushered in an even greater potential for automation.

In essence, hyperautomation is the utilization of advanced technologies such as artificial intelligence, machine learning, and process mining to automate and optimize business processes. This requires the integration of multiple automation tools and technologies into a unified system capable of automating end-to-end processes across various functions and systems.

What are the Differences Between RPA and Hyperautomation?

Robotic Process Automation (RPA) and Hyperautomation are commonly interchanged terms, but they are distinct concepts. RPA refers to a specific technology that streamlines routine and rule-based tasks. On the other hand, Hyperautomation is a broader approach encompassing various technologies to optimize and automate end-to-end business processes.

Outlined below are some of the key distinctions between RPA and Hyperautomation:

  • Technologies: RPA employs software robots to automate tasks, while Hyperautomation leverages cutting-edge technologies like artificial intelligence (AI), machine learning (ML), and process mining to automate and optimize business processes.

  • Integration: RPA can be integrated with other automation technologies to enhance automation capabilities. In contrast, Hyperautomation is intended to serve as a comprehensive automation solution that integrates multiple technologies into a single system.

  • Scope: RPA is typically limited to automating particular tasks or processes, whereas Hyperautomation is geared towards comprehensively automating entire business processes from start to finish.

  • Complexity: RPA is tailored to automate straightforward, repetitive tasks. In contrast, Hyperautomation is capable of automating more complex processes that entail multiple systems, applications, and data sources.

  • Scalability: RPA can be conveniently scaled up or down to align with evolving business requirements. However, Hyperautomation is specifically engineered to scale across entire organizations, facilitating end-to-end process automation across various functions and systems.

How to Get Started with Hyperautomation?


To begin implementing Hyperautomation, you need to follow some critical steps and best practices. These will help you streamline your business processes, improve productivity, and reduce costs. In this section, we’ll outline some essential tips to get started with Hyperautomation and help you take your first steps toward automation success.

  • Identify the processes to be automated: The initial step towards embarking on a hyperautomation journey is to determine the operational procedures that can potentially reap benefits from automation. This may entail a thorough analysis of existing processes to pinpoint areas that require improvement or exploring fresh avenues for automation.

  • Define automation objectives: Upon identifying the operational procedures that would be most conducive to automation, it is crucial to define the objectives of automation. This encompasses setting specific goals for automation, such as but not limited to, cost reduction, efficiency enhancement, or customer experience improvement.

  • Select the right automation tools: Choosing the right automation tools is essential in hyperautomation since it involves using various types of automation technologies and tools such as RPA, artificial intelligence (AI), machine learning (ML), and process mining. Selecting the appropriate tools is crucial for supporting the identified business processes and achieving the automation goals.

  • Develop a roadmap: To implement hyperautomation successfully, it’s important for organizations to create a plan that includes the order in which tasks will be automated, which tasks are the most important to automate first, and what risks or challenges might come up during the automation process. By making a strategic plan like this, organizations can ensure that their automation efforts go smoothly and produce the desired results.

  • Work with experienced automation professionals: When it comes to implementing hyperautomation, it’s crucial to have a thorough understanding of automation technologies, data management, and business processes. That’s why working with experienced automation professionals who can provide guidance and support throughout the entire automation journey is essential. Organizations can partner with these experts to ensure a successful hyperautomation implementation that meets their specific needs and goals.

  • Test and refine: Testing and refining are crucial for successful hyperautomation, as it is an iterative process that demands continuous evaluation. By monitoring the performance of automated processes and making necessary adjustments, organizations can ensure optimal efficiency while addressing any issues that may arise.

Examples of RPA with Hyperautomation

Robotic Process Automation (RPA) and Hyperautomation are two indispensable tools that can significantly enhance the efficiency and effectiveness of business processes. Below, we present a few examples of how RPA can seamlessly integrate into a comprehensive Hyperautomation approach, resulting in streamlined operations, optimized workflows, and ultimately, greater business success.

One area where hyperautomation can make a significant impact is customer service. By automating the handling of customer requests using RPA, AI-powered chatbots, and NLP technology, businesses can create a more personalized and efficient customer service experience. This frees up customer service agents to focus on complex customer issues, which can ultimately improve customer satisfaction.

In finance and accounting, hyperautomation can automate manual accounting tasks using RPA and ML-powered algorithms. This improves the accuracy and efficiency of financial processes, reduces the risk of errors, and speeds up financial reporting. Additionally, RPA can be utilized to monitor and analyze financial data, which helps to identify areas for cost reduction and improve budget forecasting.

Hyperautomation can also be used in Human Resources (HR) to automate various processes such as employee onboarding, data management, and benefits requests. By integrating RPA with AI-powered recruitment tools and sentiment analysis technology, businesses can improve the quality and efficiency of HR processes. This enhances the employee experience by reducing the time required to complete administrative tasks and providing HR staff with more time to focus on talent acquisition, employee engagement, and career development.

Supply chain management is another area where hyperautomation can make a significant impact. By automating processes such as order processing, inventory management, and shipment tracking using RPA and process mining technology, businesses can identify inefficiencies in supply chain processes and optimize them for better performance. This can enhance the accuracy and speed of order fulfillment, reduce inventory holding costs, and improve customer satisfaction through timely delivery.

Finally, hyperautomation can automate tasks in healthcare such as patient scheduling, billing, and claims processing using RPA and predictive analytics. This improves the accuracy and efficiency of patient care, reduces administrative burdens and costs. It can also be used to manage and analyze patient data, which provides healthcare providers with insights that can be used to improve patient outcomes, reduce readmission rates, and improve resource allocation.

In conclusion, Hyperautomation is a comprehensive approach that can be customized to meet the unique needs of different industries. By combining RPA with other advanced technologies, businesses can automate complex tasks, improve accuracy, and reduce costs. This can result in better customer experiences, increased productivity, and improved overall performance, making hyperautomation an essential strategy for achieving long-term success.