Hyperautomation is a comprehensive framework of advanced technologies that enables the scalable automation of business operations. Its main goal is to establish a systematic approach to automating automation itself.
Understanding hyperautomation:
Hyperautomation follows a disciplined, business-centric approach, in which organizations aim to quickly identify, assess and automate a wide range of business and IT processes. This goes beyond simply automating existing processes and propels business operations beyond individual inputs. Rather than relying on a single technology, hyperautomation integrates multiple technologies to achieve its goals.
Key advanced technologies used in hyperautomation include RPA, machine learning, and AI, which collaborate to automate complex business processes. By adopting hyperautomation, organizations can create agile structures that can quickly adapt to change.
Although hyperautomation is a relatively new concept, companies are currently in the early stages of discovering practical implementation methods. Nonetheless, it is widely recognized as a crucial part of digital business transformation because it eliminates human involvement in low-value processes and provides unprecedented business intelligence through data analysis.
If you want a more in-depth look at hyperautomation across various industries and how small and medium-sized businesses can compete, we have a comprehensive report called “Hyperautomation and the future of business” available for download.
Hyperautomation vs traditional automation
Hyperautomation and traditional automation have distinct differences in various aspects. Here are the main disparities between hyperautomation and traditional automation:
Hyperautomation:
- Goes beyond the automation of manual tasks to encompass the automation of complex tasks and processes, leveraging advanced technologies.
- Involves the orchestrated use of multiple technologies, tools or platforms, such as process mining, task mining, AI, machine learning, event-driven software architecture, RPA, BPM and iBPMS.
- Takes a disciplined, business-oriented approach that focuses on the rapid identification, assessment and automation of a wide range of business and IT processes.
- Requires identifying suitable automation candidates, selecting appropriate automation tools, and promoting agility through the reuse of automated processes, often extending capabilities with various forms of AI and machine learning.
- Often coordinated by a Center of Excellence (CoE) dedicated to driving automation initiatives.
Traditional automation:
- Mainly focuses on automating manual tasks.
- Ideal for simpler, less complex tasks.
- Uses basic trigger-based automation methods.
- Limited to a single automation technology.
- It typically lacks the broader reach and advanced capabilities associated with hyperautomation.
Examples of tasks that can be automated 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 via hyperautomation, but not with traditional automation:
Inventory management:
Hyperautomation helps automate inventory management processes, ensuring optimized stock levels and avoiding stock-outs.
Document processing:
Hyperautomation can automate document processing using optical character recognition (OCR) to read documents, natural language processing (NLP) to understand their content, or natural language generation (NLG) to provide summaries or information to humans.
End-to-end business automation:
Hyperautomation excels at automating end-to-end business processes, leveraging a combination of automation technologies to automate not only repetitive tasks but also more complex 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 non-parallel tasks:
Hyperautomation handles the automation of parallel and non-parallel tasks, which sets it apart from traditional automation, which primarily focuses on streamlining manual tasks.
Hyperautomation and its role in digital transformation
Hyperautomation is an essential part of digital transformation, enabling organizations to optimize their 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 results.
This strategic initiative drives continued digital transformation by leveraging AI technologies in conjunction with RPA. Hyperautomation is becoming an irreversible and inevitable force, automating everything that can be automated. Rather than being a single technology, hyperautomation encompasses various automation aspects and approaches.
By integrating intelligent technologies like AI and machine learning, hyperautomation improves automation and facilitates digital transformation. It allows businesses to improve their operational efficiency by automating manual and repetitive tasks such as data entry and processing. Additionally, hyperautomation provides scalability and seamless integration with other technologies, enabling streamlined orchestration of workflows.
Conclusion:
In summary, hyperautomation is a strategic business initiative that combines AI technologies with RPA to drive continuous digital transformation and deliver exceptional business results. Its critical role in digital transformation includes process optimization, risk mitigation and scaling operations.
How are organizations using hyperautomation and what are the benefits? Find out in our Intelligence Note entitled “Hyperautomation and the future of business“.
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