Hyperautomation for Efficiency and Productivity

Glossary/H/Hyperautomation

What is Hyperautomation?

Hyperautomation is an advanced approach to automation that goes beyond traditional robotic process automation (RPA) by combining various technologies, such as artificial intelligence (AI), machine learning (ML), and process mining, to automate and streamline complex business processes. It aims to automate not just routine and repetitive tasks but also more cognitive and decision-making processes, making it a powerful tool for digital transformation.

Hyperautomation involves analyzing and understanding how tasks are performed, identifying patterns and anomalies, and making intelligent decisions. It involves the use of software bots or digital workers that can interact with multiple systems, applications, and data sources to perform end-to-end processes autonomously.

Related terms

Robotics Process Automation (RPA)

Robotics Process Automation (RPA) is a technology that uses software robots or "bots" to automate re...

Machine Learning (ML)

Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on developing algor...

Not to be confused with:

Robotics Process Automation (RPA)

Robotics Process Automation (RPA) is a technology that uses software robots or "bots" to automate re...

Machine Learning (ML)

Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on developing algor...

Robotics Process Automation (RPA)

Robotics Process Automation (RPA) is a technology that uses software robots or "bots" to automate re...

Machine Learning (ML)

Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on developing algor...

Robotics Process Automation (RPA)

Robotics Process Automation (RPA) is a technology that uses software robots or "bots" to automate re...

Machine Learning (ML)

Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on developing algor...

One of the key features of hyperautomation is its ability to handle unstructured data and complex workflows. It can extract information from documents, emails, and other unstructured sources, process and analyze the data, and make informed decisions or trigger appropriate actions.

Hyperautomation can significantly increase operational efficiency by automating repetitive tasks, reducing errors, and improving overall productivity. It enables organizations to free up their human workforce from mundane tasks and allocate them to more value-added activities that require creativity and problem-solving skills. Hyperautomation also enhances data-driven decision-making by providing real-time insights and analytics based on the automated processes.

However, it is important to note that hyperautomation is not just about technology implementation. It requires a comprehensive approach that involves process analysis, redesign, and change management. Organizations need to evaluate their existing processes, identify areas for improvement, and design automation solutions that align with their strategic goals.

Back to glossary