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Hyperautomation: The Next Frontier in Business Efficiency

By Dick Weisinger

Robotic Process Automation (RPA) is revolutionizing the business world. By automating repetitive tasks, RPA is transforming how companies operate, leading to unprecedented efficiency, accuracy, and cost savings. The integration of Artificial Intelligence (AI) and Machine Learning (ML) with RPA tools is enabling much greater levels of automation of many business processes. This synergy, often referred to as hyperautomation, is a key enabler of digital transformation.

The implications of RPA and hyperautomation are profound. They empower employees by freeing them from mundane tasks, allowing them to focus on more strategic, creative, and customer-focused initiatives. They also provide scalability and flexibility, enabling businesses to easily adjust operations without the need to hire or train additional staff. Moreover, RPA systems can be programmed to follow regulatory requirements precisely, reducing the risk of non-compliance.

Future improvements in RPA and automation technologies are promising. The evolution from RPA to intelligent autonomous applications has begun. These applications, powered by AI and ML, are expected to deliver intelligent automation, cognitive capabilities, and artificial intelligence for organizations in various business functions. Furthermore, the increasing incorporation of machine learning tools into hyperautomation products is seen as one of the main drivers of market growth.

When can we expect this kind of technology to be realized? Deloitte has projected that RPA hit near-universal adoption in the business world at some point in 2023. Moreover, the IRS is planning to scale up its RPA program, aiming to develop and deploy 35 to 50 automations annually.

For example, Microsoft Power Automate has been used by over 350,000 organizations each month to automate their processes. For instance, US Acute Care Solutions uses Microsoft Power Automate to process 20 million medical records each year, saving over 100,000 hours of work annually. Komatsu Australia built an RPA solution with Power Automate and AI Builder to automate their invoice-fixing processes, saving them 300 hours a year.

UiPath, another leading RPA provider, has numerous success stories. For example, University Hospitals Plymouth NHS Trust uses automation to provide excellent care First Abu Dhabi Bank has also seen significant transformation and progress in their automation journey.

Uber is another notable example. With over 100 automations in operation, Uber is estimated to save $10 million per year. The RPA culture at Uber has significantly improved both the employee and customer experience.

These success stories illustrate the transformative power of RPA and hyperautomation in various sectors, from healthcare to finance to transportation. They highlight the potential of these technologies to drive efficiency, improve customer experience, and deliver substantial cost savings.

The advancement of RPA and automation technologies is not just an enhancement of capabilities but a transformative movement in the business world. As these technologies continue to evolve and mature, they are set to redefine what automation means – turning it from a tool for cost reduction into a driver of innovation and strategic growth.

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