Intelligent Automation, also called Hyperautomation, is a concept leveraging a new generation of software-based automation. It combines methods and technologies to execute business processes automatically on behalf of knowledge workers. This automation is achieved by mimicking the capabilities that knowledge workers use in performing their work activities (e.g., language, vision, execution, and thinking & learning).
The goal of using Intelligent Automation is to achieve a business outcome, through a redesigned automated process, with no or minimal human intervention. As a result, Intelligent Automation increases process speed, reduces costs, enhances compliance and quality, increases process resilience, and optimizes decision outcomes. Ultimately, it improves customer and employee satisfaction and boosts revenues.
Intelligent Automation focuses on automating the work done by knowledge workers, whose principal capital is knowledge. Examples include programmers, physicians, pharmacists, architects, engineers, scientists, designers, public accountants, lawyers, and any other workers whose line of work requires them to “think for a living.” As opposed to manual labor, which is material-based (common in manufacturing industries), knowledge work is information-based and commonly found in service industries.
Senior Advisor to IRPA AI
Forbes Technology Council Member
Former Head of AI & Automation, McKinsey
Pascal Bornet is a global expert, thought leader and pioneer in the field of Intelligent Automation, Artificial Intelligence & Analytics. Formerly Head of AI, Automation & Digital Innovation for McKinsey, Pascal is a senior advisor to IRPA AI, member of the Forbes Technology Council, author of Intelligent Automation: Welcome to the World of Hyperautomation and is recognized as a Top Voice in Tech with over 300,000 online followers.
Intelligent automation refers to a powerful and continually evolving set of technologies for automating knowledge work and augmenting the work of human knowledge workers. Based on the speed and scale of its recent advances, it is likely to have a huge impact on the world of work and, by extension, on all of society.
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