A popular new buzzword is hyperautomation. From a high-level perspective, the term is meant to convey a process and technology-driven approach that is used to digitize and automate business processes. Basically, it is an extension of digital transformation (DX) with an increased focus on AI, machine learning, and fully automated processes. For many organizations, the thought of using advanced technologies to automate processes is obviously attractive. However, the path to achieve this goal is rife with potential pitfalls. Here are some hyperautomation methods, risks, and ways to know if your organization is ready to take on the challenge.
Over the past few years, businesses have put a priority on digitally transforming manual business processes into those that are digital -- known as DX. The payoff for DX is accelerated business process flows from which to gain a competitive advantage. But as with all competitive advantages, they wean over time as competitors catch up with their own DX endeavors. Thus, the next obvious step is to reduce any and all manual processes within their current DX integrations to further accelerate the rate at which business processes can be executed. Not only does hyperautomation create a framework where business functions can operate 24/7, but it also further reduces human intervention, which can translate into significant cost savings.
Formulating an Approach to Hyperautomation
A proper approach to hyperautomation is to construct a robust plan both at a macro and micro level. While the end goal of hyperautomation is to automate all business processes across the board using data-driven decision-making through the use of AI, actual implementations should be conducted on a case-by-case basis -- only when processes have successfully been implemented and allow for proper levels of scalability and flexibility.
Business leaders and architects must first conduct a high-level map of how their organization is expected to operate both now and into the future. This is required so that the necessary levels of elasticity can be built into hyperautomated processes. For those who expect to pivot their business significantly in the next few years, for example, they will want to be very cautious as to not lock automated systems or processes into today’s business process flows.
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