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Hyperautomation

Increased efficiency through intelligent automation

Advantages
Five steps to hyperautomation
Technical components
Are you interested in using hyperautomation in your company?
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The Future Is Hyperautomated: The Importance of Hyperautomation in the Digital World

Companies face numerous challenges in today's business world - from rapidly changing market conditions to an increasingly complex technology environment. This means constantly paving new ways for management to increase efficiency, reduce costs, and improve competitiveness.


This is where hyperautomation comes into play. Hyperautomation is a concept that is becoming increasingly important in today's digital world. It describes the comprehensive automation of business processes by combining various technologies such as Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), and Analytics. In this context, the use of Business Process Management (BPM) enables the systematic analysis, optimization, and automation of business processes in the company. This approach improves processes' effectiveness and maximizes automation technologies' benefits. This basis also serves process automation using low-code/no-code.


By applying hyperautomation, you can increase your company's efficiency and productivity, better serve your customers, and respond to rapidly changing market conditions. In this context, it is not just about automating individual tasks or processes but also the holistic optimization of business processes across the entire value chain.

Advantages at a Glance

Implementing hyperautomation offers you a variety of benefits. These include:

Efficiency improvement

By automating manual processes, you can increase company efficiency and boost productivity. In the process, RPA robots perform routine tasks, saving resources and simultaneously countering the shortage of skilled workers and demographic change.

Error reduction

Automation reduces human error and improves the accuracy and quality of data and processes.

Cost reduction

Automating manual activities can help reduce costs, for example, by shortening production cycles and thus reducing production costs.

Scalability

Hyperautomation enables you to quickly adapt to change and seamlessly scale processes to meet business needs.

Better decision making

By automating data collection and analysis, companies can make better decisions and identify opportunities faster.

Improved customer experience

Automated processes can help improve the customer experience by providing fast and accurate responses to inquiries and requests.

Which Business Processes Can Be Automated with Hyperautomation?

In principle, hyperautomation can be used to automate all types of business processes that are characterized by certain features. These include processes with recurring tasks and standardized processes that have high volumes or high error rates. Processes that require a high level of interaction with customers or suppliers can also be improved through hyperautomation. Typical examples of business processes that can be automated include:


  • The invoice processing
  • The ordering system
  • Data entry and processing
  • Customer management
  • Personnel management
  • Warehouse management
  • Customer service

  

Ultimately, however, the suitability for hyperautomation depends on the individual situation and the needs of the company. A comprehensive analysis of the business processes and their automation potential is therefore crucial in order to select the right processes for implementing hyperautomation.

Five Steps to Hyperautomation: How to Implement Hyperautomation in Your Company Automate?

Implementing hyperautomation in your company requires a structured approach and careful planning. In five steps, we support you in the introduction of hyperautomation:


  1. Business process analysis: The first step is to analyze the existing business processes in your company. This should identify all operations and activities that can be automated. It is essential to include all departments and functions here to get a comprehensive picture of the processes in the company. 
  2. Identification of automation technologies: The next step should be identifying the technologies best suited to automate the specified processes. For example, RPA, chatbots, analytics, or even AI can be used for this purpose.
  3. Project Plan Development: A comprehensive hyperautomation plan should be developed once automation technologies have been identified. This should include goals, timeframes, and resources. In addition, it is essential to consider the required education and training for employees.
  4. Implementation of the automation technologies: The next step is implementing the selected technologies. Technical requirements should be taken into account to ensure that the technologies used are compatible with the existing IT systems in the company.
  5. Monitoring and optimization of automation: After implementation, the automation solutions should be continuously monitored and optimized. This should also include employee feedback and experience to make continuous improvements and maximize the benefits of the automation solutions.


Overall, the implementation of hyperautomation requires a structured approach and careful planning. However, if the performance is successful, you can benefit from increased efficiency, productivity, and competitiveness.

The Technical Components of Hyperautomation

Hyperautomation is an advanced automation strategy that uses technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Process Mining to help companies optimize and automate processes. Here are some of the technical specifications and requirements of hyperautomation:


  1. RPA platform: Hyperautomation requires an RPA platform that enables the automation of repeatable processes and tasks by software robots. The RPA platform should be able to create robots for different tasks that can be executed in other applications.
  2. AI and ML integration: AI and ML integrations can be used to analyze and understand unstructured data in text, image, and language formats. The integrations should be able to make predictions, recognize patterns, and make decisions based on data.
  3. NLP integrations: Hyperautomation requires NLP integrations to perform natural language processing and text analysis. This is important for automating customer support, email responses, chatbots, and other communication processes.
  4. Process Mining tools: Process Mining tools can visualize, monitor and optimize business processes. These tools enable companies to identify and eliminate process inefficiencies.
  5. Integrations: Hyperautomation requires integration with various applications to enable the automation of processes. The integrations should allow the collection and processing of data and information from different applications.
  6. Security measures: Data and processes within the company must be protected. Therefore, security measures should meet compliance rules and regulations and ensure data encryption and data protection.


Companies looking to implement hyperautomation need a powerful and flexible platform that seamlessly integrates RPA, AI, ML, NLP, and Process Mining. The platform should be able to automate processes, meet compliance and data protection requirements, and scale quickly to adapt to the growth of the business.

Our Services for Your Success

We understand that hyperautomation is a technical challenge and a strategic decision for your company. That's why we view your business processes entirely with our holistic consulting approach to develop customized solutions optimally tailored to your needs. We identify your pain points and leverage digitization and efficiency potentials to bring your business processes to the next level - always considering a smooth and secure go-live. In addition, we promote innovation and create a unified mindset by establishing a Center of Excellence.


We offer you comprehensive process identification and optimization and provide the necessary data sources across system boundaries. With strong partnerships with leading research institutions, such as DFKI, we can automate complex processes using AI and other technologies. Our process excellence and deep expertise in technologies such as BPM, process mining, RPA, and AI make us the perfect partner for hyperautomation solutions.

What Is Hyperautomation - Visual - Blog Arvato Systems

Are You Interested in Using Hyperautomation in Your Company?

With our consulting approach, we take a holistic view of your business and automate your company step by step. In doing so, we set a clear focus on your strategic and business alignment.

About Arvato Systems

Global IT specialist Arvato Systems supports major companies through Digital Transformation. About 3,300 staff in over 25 locations epitomize in-depth technology expertise, industry knowledge, and focus on customer requirements. Working as a team, we develop innovative IT solutions, transition our clients into the Cloud, integrate digital processes, and take on IT systems operation and support.  


We provide 

As a part of the Bertelsmann-owned Arvato network, we have the unique capability to work across the entire value chain. Through our strong strategic partner network with global top players such as AWS, Google, Microsoft, and SAP, we continuously strengthen our know-how and leverage the most advanced technology. 

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Frequently Asked Questions about Hyperautomation

  • Hyperautomation is a comprehensive approach to business process automation that combines advanced technologies such as artificial intelligence, machine learning, and robotic process automation (RPA). It aims to eliminate manual processes, increase efficiency and improve business agility.

  • Hyperautomation differs from traditional automation by providing an integrated and comprehensive solution that uses advanced technologies such as artificial intelligence and machine learning. It aims to eliminate manual processes, increase efficiency and improve business agility. In contrast, traditional automation focuses only on automating repeatable manual processes.

  • Hyperautomation offers companies a variety of benefits, including greater efficiency, better customer focus, improved quality, lower costs, faster process flows, and the ability to focus on strategic initiatives. By automating routine tasks, employees can save time and energy to focus on value-added activities and develop innovative ideas.

  • Various technologies can be used for hyperautomation, including Artificial Intelligence, Machine Learning, Robotic Process Automation (RPA), Natural Language Processing (NLP), Big Data analytics, and IoT technologies.

  • The effectiveness of hyperautomation in an organization can be evaluated by monitoring and measuring certain metrics. These include, for example, the time and cost savings of automated processes, the number of successfully completed processes, the reduction of errors and delays, the increase in employee productivity, and the improvement in customer satisfaction. Organizations can also perform a before-and-after analysis to measure the difference between manual and automated processes and determine the return on investment (ROI) of hyperautomation. It is important to monitor metrics regularly to ensure that hyperautomation continues to have a positive impact on the business and make adjustments as necessary.

Your Contacts for Data and Automation

Michael Neukirch Ansprechpartner für Robotic Process Automation
Michael Neukirch
Expert for Hyperautomation
Marc Hübner - Arvato Systems
Marc Hübner
Expert for Hyperautomation