Hyperautomation is a comprehensive framework of advanced technologies that enables the scalable automation of enterprise operations. Its primary objective is to establish a systematic approach for automating automation itself.
Understanding Hyperautomation:
Hyperautomation follows a business-focused, disciplined approach, wherein organizations aim to rapidly identify, assess, and automate a wide range of business and IT processes. It goes beyond merely automating existing processes and instead propels business operations beyond individual inputs. Rather than relying on a single technology, hyperautomation integrates multiple technologies to achieve its objectives.
Key advanced technologies utilized in hyperautomation include RPA, machine learning, and AI, which collaborate to automate complex business processes. By embracing hyperautomation, organizations can build agile structures capable of swiftly adapting to change.
While hyperautomation is a relatively new concept, enterprises are currently in the early stages of discovering practical implementation methods. Nonetheless, it is widely recognized as a crucial component in the digital transformation of businesses, as it eliminates human involvement in low-value processes and provides unprecedented business intelligence through data analysis.
If you would like a more in depth view of hyperautomation in various industries and how small and medium sized businesses can compete, we have a full report titled “Hyperautomation & the Future of Business” available for download.
Hyperautomation vs. Traditional Automation
Hyperautomation and traditional automation exhibit distinct differences across various aspects. Here are the primary disparities between hyperautomation and traditional automation:
Hyperautomation:
- Goes beyond automating manual tasks to encompass complex task and process automation, leveraging advanced technologies.
- Involves the orchestrated utilization of multiple technologies, tools, or platforms, such as process mining, task mining, AI, machine learning, event-driven software architecture, RPA, BPM, and iBPMS.
- Adopts a business-driven, disciplined approach that focuses on rapidly identifying, evaluating, and automating a wide range of business and IT processes.
- Requires identification of suitable automation candidates, selection of appropriate automation tools, and fostering agility through the reuse of automated processes, often extending capabilities with various forms of AI and machine learning.
- Often coordinated through a center of excellence (CoE) dedicated to driving automation initiatives.
Traditional Automation:
- Primarily concentrates on automating manual tasks.
- Best suited for simpler, less complex tasks.
- Utilizes basic trigger-based automation methods.
- Limited to a single technology for automation.
- Generally lacks the broader scope and advanced capabilities associated with hyperautomation.
Examples of Tasks Automatable with Hyperautomation
Hyperautomation surpasses traditional automation in its ability to automate complex tasks and processes. Below are several examples of tasks that can be automated specifically through hyperautomation, but not with traditional automation:
Inventory management:
Hyperautomation enables the automation of inventory management processes, ensuring optimized stock levels and preventing stockouts.
Document processing:
Hyperautomation can automate document processing by utilizing Optical Character Recognition (OCR) to read documents, Natural Language Processing (NLP) to understand their contents, or Natural Language Generation (NLG) to provide summaries or insights to humans.
End-to-end enterprise automation:
Hyperautomation excels in automating end-to-end enterprise processes, leveraging a combination of automation technologies to automate not only repetitive tasks but also more intricate procedures.
Time-consuming business procedures:
Hyperautomation identifies time-consuming business procedures and implements automation solutions using tools such as Robotic Process Automation (RPA), AI, machine learning, and process mining to streamline and accelerate these processes.
Parallel and nonparallel tasks:
Hyperautomation handles the automation of both parallel and nonparallel tasks, distinguishing it from traditional automation, which primarily focuses on streamlining manual tasks.
Hyperautomation and its Role in Digital Transformation
Hyperautomation is a vital component of digital transformation, enabling organizations to optimize processes, mitigate risks, and scale their operations. Recognized by Gartner as one of the top 12 strategic digital business trends for 2022, hyperautomation combines various AI technologies with Robotic Process Automation (RPA) to drive superior business outcomes.
This strategic initiative fosters continuous digital transformation by leveraging AI technologies in conjunction with RPA. Hyperautomation becomes an irreversible and inevitable force, automating everything that can be automated. Rather than being a singular technology, hyperautomation encompasses diverse automation aspects and approaches.
By incorporating intelligent technologies like AI and machine learning, hyperautomation enhances automation and facilitates digital transformation. It empowers businesses to improve operational efficiency by automating manual and repetitive tasks such as data entry and processing. Furthermore, hyperautomation offers scalability and seamless integration with other technologies, enabling streamlined workflow orchestration.
Conclusion:
In summary, hyperautomation is a strategic business initiative that combines AI technologies with RPA to drive continuous digital transformation and deliver exceptional business outcomes. Its critical role in digital transformation includes optimizing processes, mitigating risks, and scaling operations.
How are organizations using hyperautomation and what benefits are they reporting? Find out in our Intelligence Brief titled “Hyperautomation & the Future of Business”.
