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Hyperautomation isn’t simply replicating how tasks are completed with robotic process automation (RPA). RPA was merely the first step in the evolution of this type of technology. A key attribute of hyperautomation is its ability to loop humans into the process.
Businesses can then access collaborative intelligence. With technology and humans working not just side by side but together, employees can begin to train automation tools and other software and, through machine learning, get to a state of AI-enabled decision-making. With hyperautomation, companies can begin to reimagine work typically done by employees with technology.
Hyper automation refers to an effective combination of complementary sets of tools that can integrate functional and process silos to automate and augment end-to-end business processes.
Named by leading research publications among the Top 10 strategic trends for 2020, hyper automation leverages new and combined capabilities to expand the frontiers of automation beyond the ‘rules-based-automation’ and creates newer and better outcomes”
To accelerate hyper automation, an integrated system of intelligence effectively combines tools with:
Artificial intelligence (AI)
Big data technologies
Machine learning (ML)
Natural language processing (NLP)
Optical character recognition (OCR)
Co-author of this article: Kuppusami Madhavan
Kuppusami Madhavan is a RPA lead in the USA. He has 17 years of professional experience in multiple technology stacks and domains. He was an ACH (Automated Clearing House) architect in his earlier role and part of the AI, ML and Robotics industrialization capabilities. His areas of expertise are BFSI (Banking and Financial Services Industry) and recently in Pharmacy Benefit Management. Strong working experience in EPIC EMR (Electronic Medical Records) hospital setting software applications.
