Hyperautomation is a trendy new term. In a broad sense, the word refers to an approach to digitising and automating business activities that is process- and technology-driven. In essence, it’s an expansion of digital transformation (DX) with a stronger emphasis on artificial intelligence (AI), machine learning, and fully automated processes. The idea of leveraging cutting-edge technologies to automate procedures is clearly appealing to many firms. The road to achieving this objective, however, is paved with dangers. Here are several hyperautomation techniques, hazards, and strategies to assess your company’s readiness for the task.

Businesses have prioritised the digital transformation (DX) of manual business processes into digital ones during the past few years. Accelerated business process flows are the reward for DX, which can be used to achieve a competitive edge. When with other competitive advantages, though, they eventually wane as rivals catch up with their own DX initiatives. Therefore, the next logical step is to eliminate all manual procedures from their current DX integrations in order to speed up the execution of business activities even further. Hyperautomation not only establishes a framework for company operations to run round-the-clock, but it also lessens the need for human involvement, which can result in significant cost savings.

The right way to handle hyperautomation is to have a solid plan that covers both the macro and micro levels. Although the ultimate goal of hyperautomation is to fully automate all business processes through the use of AI and data-driven decision-making, actual implementations should only be made when processes have been successfully implemented and allow for the necessary levels of scalability and flexibility.

Business executives and architects must first create a high-level map of the expected operations of their organisation, both today and in the future. This is crucial so that hyperautomated processes can incorporate the requisite degrees of flexibility. For example, individuals who anticipate making a substantial company shift in the next years should exercise extreme caution to avoid integrating automated technologies or processes into the current business process flows.

However, despite changes in business strategy, some parts of an organisation are likely to remain mostly unchanged. These operations are candidates for early hyperautomation. From this point, architects can adopt a micro-level strategy, develop a technology plan to increase automation capabilities, and identify the essential tools to achieve those objectives.

Launching hyperautomation projects without carefully examining macro- and micro-level business potential has a number of dangers. Simply automating inflexible or inefficient manual processes with AI/machine learning can, at best, negate any advantages that hyperautomation might have. In the worst situation, it might make it more difficult for a company to expand or switch to more lucrative business endeavours.

Additionally, be aware that hyperautomation is a wholly data-driven strategy. As a result, the company needs to be ready to gather, organise, and analyse extraordinarily vast and complicated data sets. Either internal or external skills are necessary, and frequently both. Recognize that hiring and retaining IT employees with these skill sets will cost you a lot of money. Additionally, if hyperautomation is introduced throughout the company, a large amount of training for IT operations (ITOps) workers will be required. This will make it easier to maintain the precise alignment of automated operations with corporate objectives.

Despite its potential, most people probably won’t be able to achieve hyperautomation. Even while DX has advanced significantly, some companies are still working to optimise the transition of manual processes into the new digital environment. Even if some have undoubtedly been successful, they are still a minority. Having said that, IT directors should begin the process of planning for hyperautomation right away. Regardless of where they stand from a DX viewpoint, the construction of a macro and micro level road map can begin right now. After DX is completed successfully, the road to hyperautomation becomes much less dangerous.