Hyperautomation is the process of using an ecosystem of advanced automation technologies like artificial intelligence (AI), machine learning (ML), natural language processing (NLP), process mining, and robotic process automation (RPA). It aims to augment human knowledge by automating business processes, allowing enterprises to benefit from efficient decision-making and production.
Hyperautomation is not limited to task automation but also involves moving to the next frontier in digital transformation.
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What Are the Essential Hyperautomation Components?
Hyperautomation involves several automation technologies to work, which includes:
AI and ML
Organizations can harness the power of AI to simulate human intelligence. AI makes it easy for hyperautomated machines to carry out tasks without explicit programming. Virtual assistants like Alexa and Siri can learn about user interests based on their past behavior.
ML is often used along with AI to augment systems with algorithms that automatically improve over time. As such, they can detect patterns using historical data and formulate predictions.
Both AI and ML are essential in hyperautomation, but some organizations may face implementation challenges, as the technologies often require a hefty investment. The integration process requires a detailed plan, so it does not affect existing processes.
Business process management (BPM) is another crucial hyperautomation component. In most instances, it serves as the foundation of how an automation strategy is developed, managed, and enhanced. In some organizations, integrating digital tools into business processes can be tricky. They need to create workflows and undergo several tests before actual delivery. That way, they are assured that no issues can stall business processes.
BPM tools can thus help organizations manage their hyperautomation initiatives.
Hyperatutomation uses robotic process automation (RPA) that typically employs software bots capable of replicating repetitive human activities. RPA systems take care of tedious tasks by following a set of rules. Note, though, that they cannot process unstructured data.
Organizations that want to hyperautomate their operations must understand that doing so means using powerful analytics tools. They cannot rely on a single automation tool like RPA systems because these can only process structured data. Users who want to maximize hyperautomation need to manage both structured and unstructured data using advanced analytics tools.
What Are the Benefits of Hyperautomation?
Hyperautomation is regarded as the “future of digital transformation,” as most organizations are now strategically planning their shift to the technology. Some of its significant benefits include:
Better Operational Flexibility
As mentioned earlier, hyperautomation needs various automation technologies to work. Once employed, though, organizations can have a flexible process that allows them to choose from many automation technologies.
Hyperautomation lets users scale and grow their operations more efficiently.
Higher Employee Productivity
Since hyperautomation delegates most of the repetitive and time-consuming tasks to specialized systems, employees can focus on high-value tasks. This practice ultimately leads to a more productive organization.
Technology use is now commonplace. With hyperautomation, businesses can integrate digital tools into their legacy systems and outdated processes with the providers’ help. That would give all stakeholders better access to systems and facilitate seamless communication.
Since it will be easier for stakeholders to optimize resources, they enjoy the benefits of a better operational process. That results in significant cost savings and increased returns on investment (ROIs).
We cannot deny that hyperautomation has tons of benefits and unlimited potential for organizations, but it does not mean to replace human workers. It only aims to augment limited human capacity by removing the burden of repetitive and low-value tasks.
Hyperautomation tools still require human input, but it can certainly help users improve their customer service, reduce operational costs, and boost profitability.