Hyperautomation implies the use of advanced technologies such as artificial intelligence, and robotic process automation to automate redundant tasks.

The COVID 19 pandemic has dispensed organizations to adopt disruptive technology as swiftly as possible. Before COVID 19 outbreak staggered organizational workflow, adoption of disruptive technologies was taking place in a very slow pace. For example, a report by Deloitte states that only 56% of organizations have started their automation journey, with 72% still planning to reap the benefits of this new edge technology.

As organizations work remotely, a strategic approach to implement intelligent automation would aid crunching up the investment that they make for redundant tasks. A survey by Gartner indicates that 70% of CFO's and finance leaders have revealed that they will move 5% of their previously on-site workforce to permanently remote positions post-COVID 19. Additionally, 20% of respondents indicated that they have deferred on-premise technology spend with an additional 12% planning to do so. Another survey by Gartner points out that post-COVID 19 robotic process automation, workflow automation and cloud-based enterprise resource planning would likely see more investment.

Additionally, experts observe hyper-automation to be a driving force to initiate innovation. Hyperautomation implies the use of advanced technologies such as artificial intelligence, robotic process automation and machine learning to automate mundane and redundant tasks, earlier carried out by humans. It enables human-machine collaboration, to provide enhanced customer experience while relieving extra operational investments, and boosting productivity. Furthermore, by integrating RPA bots and AI model in the internal infrastructure, organizations eliminate the risk of errors and mistakes, thus delivering results with accuracy and precision.

Prioritizing the Areas of Hyperautomation

For any organization to kick-start their hyper-automation journey, it is paramount to analyze why they want to integrate hyper-automation and what areas need to be prioritized initially so that the outcome can be successful. A report by Deloitte states that before diving into the intelligent automation journey, the businesses need to analyze the risks involved, scale-up the infrastructure to support sudden changes, ensure workforce collaboration and analyze the cybersecurity domain. One of the key aspects of delivering a successful hyper-automation strategy is to reassess and restructure the complex and business-critical services.

Preparing for the Impact of Hyper-automation 

Once the successful hyper-automation strategy is established, organizations must prepare the infrastructure and workforce towards this inherent transition. Experts point out that it not only requires a technology change, but the organizations also need to update their employees about the positive impact of such a transition. Since the employees are often not technologically equipped, training them about RPA and AI would aid them to embrace the change. Organizations need to continuously ensure that employees understand automation as a part of continuous innovation. This involves equal participation and collaboration of employees in automation strategy and deliverance decision. A good approach for deriving employee collaboration is to ask the head of every department regarding the challenges they face daily. For example, if the HR indicates the paperwork burdening, automation tools such as RPA bots can be integrated into the system, so that the team can focus on more critical work.

Overcoming Operational Disruptions using Hyperautomation

Hyper automation presents a galore of opportunities to quell the operational disruptions. It mitigates the risks of sudden operational challenges, thus eliminating the bottlenecks within the system.