Hyperautomation is emerging as the next evolution in business technology, pushing organizations to rethink how they streamline operations and make decisions. Experts believe the market for hyperautomation technology will be worth $167 by 2032. What is hyper automation?
“Hyperautomation” represents the integration of advanced technologies like robotic process automation (RPA), artificial intelligence (AI), and machine learning algorithms to automate not just individual tasks, but entire business processes end-to-end. This transformative approach to automation aims to improve efficiency, minimize costs, and improve overall decision-making in business. Let’s take a closer look, shall we?
What is hyperautomation?
Hyperautomation goes beyond traditional automation—think robotic process automation (RPA), which is primarily intended for tasks that humans aren’t as good at as machines in the first place, for example repetitive tasks that are prone to human error.
While automation like RPA focuses on automating specific tasks, hyperautomation brings in a wider ecosystem of technologies that allows the automation of more complex workflows.
The addition of AI on the approach to automation not only automates tasks but also learns and adapts, enabling continuous process optimization. With a combination of RPA, AI, machine learning, and BPM, hyperautomation technology can take digital transformation to a new level.
Some key components of hyperautomation
- Robotic Process Automation: This could be considered the backbone of hyperautomation, applied extensively for the automation of mundane, rule-based tasks.
- Artificial Intelligence and Machine Learning: AI adds an extra layer of intelligence, making automation smarter and more adaptable. Machine learning helps in analyzing data patterns, predicting outcomes, and making informed decisions.
- Business Process Management (BPM): BPM ensures that automated business processes are aligned with organizational goals, and enables a strategic approach to managing and optimizing workflows.
- Intelligent process automation: Where AI is integrated with BPM, hyperautomation offers enhanced decision-making capabilities, especially for complex business scenarios.
Benefits of hyperautomation
What’s in it for business to automate to this “hyper” degree? Why hyperautomation, and not just “regular” automation? Among the benefits of hyperautomation technology are:
- Enhanced efficiency and reduced costs: Automating complex processes helps reduce manual errors, speeds up operations, and cuts down costs significantly.
- Improved decision-making: Leveraging AI and machine learning algorithms allows managers to make data-driven decisions that are both faster and more accurate.
- Scalability: Hyperautomation solutions can be scaled across different functions, departments, and geographies, ensuring consistent and efficient operations throughout a large or complex organization.
- Improved customer service: Companies can provide quicker responses and more personalized service by automating customer-facing processes.
Implementing hyperautomation
To effectively implement hyperautomation, organizations should start by assessing their existing workflows and identifying tasks that are good candidates for automation. Tools and technologies like process mining can help reveal inefficiencies that intelligent business processes with hyperautomation technology could address.
Hyperautomation use cases
Even though hyperautomation is still just taking off, we’re already seeing applications in:
- Finance and accounting: This includes all the finance-related menial tasks—automating invoice processing, expense tracking, and financial reporting can significantly cut costs and improve speed and accuracy.
- Process optimization: AI-powered chatbots can orchestrate complex commands and handle customer inquiries with minimal human intervention, freeing up agents for more complex issues.
- Human resources: Hyperautomation can streamline HR functions like onboarding, payroll, and performance management.
- Supply chain management: Automating inventory management, demand forecasting, and supplier communications can enhance efficiency and sustainability across the entire supply chain.
Future trends in hyperautomation
Of course we anticipate that the use of AI in hyperautomation will become more widespread, and we’ll see businesses using hyperautomation technologies to anticipate changes and adapt proactively.
Low-code and no-code development platforms will also democratize hyperautomation, allowing non-technical employees to contribute to automation efforts. We’re already seeing this in the form of digital process automation implemented using low code BPM intelligent process automation platforms.
Conclusion
Hyperautomation is likely to reshape the way businesses operate, as it combines powerful AI, RPA, and BPM technologies to create smarter, more efficient workflows. With a growing adoption of hyperautomation, enterprises can stay ahead in the competitive landscape, improve efficiency, and make smarter decisions at every level of their operation.
