Hyperautomation and AI/ML – The Impending Transformation of Business & IT Process Automation

Business owners today have three major objectives – growth, efficiency, and digitalization. Growth is directly dependent on efficiency, which is directly dependent on digitalization – and a vital aspect of that is a business and IT process automation. Conventional enterprise automation approaches focus on implementing automation within a pre-set context – specific to individual use-cases and tasks. Hyperautomation adds layers of AI to the automation process – making it smarter, more autonomous, and versatile. It provides a comprehensive framework and infrastructure for process automation, making it scalable, flexible, and easy to customize as needed.

Breaking hyperautomation down to basics, these are the main steps in the process –

• First AI is used to understand and identify processes that require automation.
• Then, the framework analyzes the requirements and selects the suitable automation tools to be used.
• It re-uses the automated processes through AI-driven iterations to drive agility and boost efficiency.

Hyperautomation enables enterprises to integrate AI and ML capabilities to simplify the development of new automation frameworks automatically. A few examples of how this is done are –

• Optical Character Recognition (OCR) helps bots convert image data to text data – helping create structured data out of unstructured data.
• Natural language processing (NLP) enables bots to interpret and convert human speech to structured, processable data.
• ML tools teach bots to analyze data and extract patterns – giving enterprises insightful and actionable data they couldn’t access previously.
• Process and task mining tools in hyperautomation give organizations access to a digital twin of the organization (DTO) – basically a virtual copy of the entire business – letting them simulate business processes, strategies, and workflows to see the predicted results and optimize accordingly – driving value, resolving bottlenecks and identifying opportunities.

If we consider the current trends in enterprise automation – perhaps the most significant change we can see is the focus shifting increasingly from incremental productivity gains to augmentation. Especially after the financial impact of the pandemic, organizations are concentrating more and more on cutting costs and increasing operational efficiency.

These observations directly imply that businesses must embrace digital transformation to the greatest possible extent – and that the IT departments must bulk up for the impending deluge of data that must be processed.

Gartner predicts that over 20% of all products will be manufactured, packed, shipped, and delivered without any human contact by 2025 – making hyperautomation practically indispensable.

Going by these trends, it’s safe to assume that hyperautomation isn’t going anywhere—on the contrary, it’s here to stay and become an essential part of any organization’s IT operations. As technology advances, current challenges in adopting hyperautomation will be overcome, combining with its significant benefits to become the new normal. This advanced form of automation, powered by AI/ML solutions, will require minimal to no human assistance while elevating functionality and efficiency across every process in an organization. At NexGenTek, we help businesses leverage intelligent automation and AI-driven technologies to future-proof their IT ecosystems.

With over 25 years as a leader in technology, Ali’s visionary and innovative approach has earned him high recognition as a key player in the Information Technology community. As an industry subject matter expert, Ali’s philosophy of staying ahead of new and emerging technology solutions—including AI/ML solutions—enables him to keep customers ahead of the competition. This forward-thinking mindset has allowed him to create ITaaPS, a transformative model delivered through NexGenTek that blends automation, intelligence, and scalability to drive long-term business success.