Hyper-automation is on everyone’s lips. The “hyper” prefix suggests that the current state of automation needs to be even faster.
This is so that companies can not only follow, but also anticipate technological changes and their uses in their sectors of activity. If companies aim to achieve total automation – based on technologies such as artificial intelligence (AI), machine learning (ML) and robotization (RPA) – they will have to go through the establishment of digital bricks essential to automating tasks and creating a culture focused on data and its optimal exploitation.
It is not just a simple technical subject, but a global vision whose benefits could have direct consequences on the functioning of society. In the context of the Great Resignation, leaders had to examine what contributes to employee loyalty. According to the Pew Research Center, one of the two main reasons cited for this massive departure is the lack of opportunities for advancement. Hyper-automation alleviates this deadlock by enabling the transition from low-value work to high-value work, thus paving the way for greater involvement in the success of the organization.
So what are the emerging technologies to follow?
No. 1: Low code
Low-code platforms make it quick and easy to build apps using visual design elements, avoiding expensive and time-consuming custom coding. This helps accelerate the delivery of applications such as business process management (BPM), enterprise content management (ECM), and case management tools as needed.
This technology actually lowers the technical barrier for those who need flexibility to configure their applications. It also relieves the pressure on overworked IT departments, which can then focus on more strategic projects. In addition, low-code technology significantly reduces the length of development cycles, allowing you to design and achieve ROI more quickly on the solutions created.
No. 2: Process Mining and Process Discovery
Process Mining, which could be translated as “process exploration”, is an analysis that reveals the processes in progress through the data that flows through their workflows to create new models. The second technology, on the other hand, answers the following question: how the processes take place, and combine the digital and the human, in order to optimize the interactions.
These two technologies used in a correlated way, quite simply make it possible to extract useful information on the history and the potential of the processes, and this, in an exhaustive way. It also provides a complete view of what is happening and potential bottlenecks, while preparing employees and the business to better withstand outside forces.
No. 3: Intelligent document processing
Document Processing harnesses the combined power of ML, Optical Character Recognition (OCR), and AI to unleash the power of content and deliver it to the right person at the right time.
This technology automatically finds and extracts crucial data on incoming documents, but also accurately captures data, especially in unstructured formats, so that it flows efficiently. It speeds up the capture process and reduces manual entry errors.
#4: Cloud ERP suites for businesses
Cloud solution hosting moves software from a physical server to a virtual server. It offers employees secure and scalable access to the essential information they need. This powers the engine of hyper-automation by housing all essential technologies in a decentralized space, so they can integrate and interact with each other. It also makes it possible to exchange between the different solutions, to upgrade or downgrade them according to the needs of the company. This paves the way for access to true agility.
The benefits of hyper-automation are clearly visible in the way it improves processes, but not only. It also creates an improved experience for those involved in the process (employees and customers). If companies are always looking to develop their activities, anticipating and updating internal processes to continue to be competitive and attractive is essential. The adoption of these technologies – according to the needs of the structure – is a long-term investment, which must be undertaken quickly to avoid being left behind.