Hyperautomation, the New Engine of Business Innovation
30% Cost Reduction? The Greater Value of Intelligent Automation
We’ve already discussed several times how AI and automation technologies are driving innovation in business operations. The era of simple repetitive task automation is coming to an end; now, a new management paradigm is emerging with the convergence of RPA (Robotic Process Automation), Generative AI, and AI Agents.
In particular, Hyperautomation is gaining attention as a core strategy that integrates diverse technologies and intelligently orchestrates processes to fundamentally transform organizational efficiency, agility, and competitiveness. In this article, we will take a closer look at what this transformation means for businesses, along with real-world applications and strategies for success.
🗂️What is Hyperautomation?
Hyperautomation is an innovative strategy that goes beyond traditional automation to intelligently connect and optimize workflows across the entire organization. In the past, automation focused mainly on repetitive and rule-based tasks through RPA (Robotic Process Automation). Now, it integrates a wide range of advanced technologies such as AI (Artificial Intelligence), ML (Machine Learning), Process Mining, Intelligent Document Processing (IDP), Low-code/No-code development environments that enable easy process creation, and iPaaS (Integration Platform as a Service) that connects multiple systems into one cohesive flow.
While traditional automation could only handle structured data and predefined rules, Hyperautomation enables the analysis of unstructured data, contextual understanding, and complex decision-making. Ultimately, it is a powerful strategy that accelerates digital transformation, reduces costs, empowers employees to focus on higher-value tasks, and enhances the overall customer experience.
🗂️What are the key technologies of Hyperautomation?
The core technologies that make up Hyperautomation are as follows.
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• RPA(Robotic Process Automation)
A technology that uses software robots to automate repetitive tasks and increase efficiency.
A software agent that mimics human judgment and decision-making to analyze and execute tasks while intelligently orchestrating processes.
A software agent that mimics human judgment and decision-making to analyze and execute tasks while intelligently orchestrating processes.
Development tools that enable non-developers to easily build automation processes.
A technology that analyzes real operational data to identify bottlenecks and areas for improvement.
- • iPaaS(Integration Platform as a Service)
A service platform that connects distributed systems and applications to provide an integrated workflow.
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These technologies revolve around AI Agents, which are used for business analysis and decision-making, enabling intelligent orchestration across entire processes. They facilitate the establishment of enterprise-wide automation platforms, data integration, and seamless collaboration between departments, thereby accelerating business innovation.
🗂️Real-World Success Stories
Hyperautomation technologies are driving transformative changes across various industries. Companies are adopting advanced automation and AI solutions to maximize operational efficiency, significantly reduce costs, and enhance the quality of customer service. Below are representative examples from the finance, healthcare, IT services, and retail/logistics sectors that demonstrate the positive impact of Hyperautomation in action.
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• Finance
KB Kookmin Bank reduced processing time through AI-OCR-based document automation.
Shinhan Bank enhanced security and operational efficiency using facial recognition AI.
Seoul Asan Medical Center has implemented an AI-powered voice recognition system across its emergency rooms, wards,
and clinics, automating medical record documentation and streamlining bed assignment processes.
Samsung SDS’s Brity Copilot automated repetitive tasks such as meeting minutes and email handling, reducing working hours by over 75%.
Some logistics companies automated inventory management tasks, cutting costs by more than 30%
and significantly improving on-site operational efficiency.
(Source: Digital Service Support System, Digital Service Issue Report 01)
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🗂️Hyperautomation, Practical Strategies for Successful Implementation
Successful implementation of hyperautomation requires a strategic and phased approach. It starts with analyzing workflows using process mining to identify areas suitable for automation. Then, target processes are selected, and automation is executed. Following this, building an integrated platform like iPaaS to manage systems and workflows is essential to ensure seamless business connectivity.
Clear KPIs (Key Performance Indicators) must be set, with continuous monitoring and improvement to manage results effectively. Change management within the organization is also critical to secure employee understanding and cooperation, helping to overcome resistance.
Challenges such as complex system integration, data quality issues, and organizational resistance may arise. Practical solutions include conducting pilot projects to validate procedures and outcomes before gradual scaling. Collaborating with experts or partners is also key to success.
With the expansion of AI, cloud, and no-code automation, hyperautomation is positioning itself as a next-generation competitive advantage. Successful business innovation starts with digital capabilities and change management, and hyperautomation will be a vital key to business model transformation.
👉 PLATEER supports companies in progressively implementing hyperautomation through AI and DX solutions such as XGEN, X2BEE, groobee, and Matilda, making cost reduction, productivity enhancement, and management innovation a reality. For inquiries about these solutions, please contact us.
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