By Miguel Ángel Barrio, Director of Entelgy Digital Automation and the crucial role it has played in digital transformation is a factor that has become widespread in recent years when designing a digitalization strategy. The pandemic, at the time, was the start of many of these plans, in response to a need that arose from one day to the next. After two years, we can only assure you that this solution has demonstrated its benefits and that it is here to stay. However, there are still some organizations that are immersed in this implementation of RPA services. For them, a quick and easy adoption is necessary since not all of them have the same degree of digital maturity. One of the options is to have a “Robot-as-a-service” model that consists of a subscription and payment for use in which the service is adapted to the needs of the business. In this way, organizations can benefit from “as-a-service” models that facilitate the adoption of these tools, freeing themselves from possible technological problems that may arise with their implementation. But where is automation going? how will it evolve? what will you offer us again? And it is that thanks to the emergence of new technologies such as Artificial Intelligence (AI), automation can go one step further. With the union of both technologies, the performance of basic and repetitive tasks is on its way to becoming more intelligent. By integrating learning and autonomy capabilities thanks to AI and machine learning, the operating model of companies will evolve and allow them to reach new heights of efficiency and productivity.
Hyperautomation goes one step further than automation and it can be applied, not only to repetitive tasks, but to the entire set of tasks
Another path in which this technology will evolve is hyper-automation. This goes one step further than automation and is that it can be applied, not only to repetitive tasks, but to the entire set of company tasks, such as production chains or marketing processes, among others. This means the sum of AI, machine learning and RPA technologies. Thanks to these techniques, companies will be more prepared for any change scenario that may suddenly arise. Finally, it is worth highlighting process mining. This technology, capable of analyzing all the variants that are part of a business process, is very useful when speeding up automated production tasks. And it is that process mining technology is an ally for companies by evaluating the entire operation of the business, it can identify inefficiencies and thus optimize customer processes. In this way, the implementation of intelligent automation based on RPA, which drives efficiency, productivity and innovation, will be done on a solid and effective basis, avoiding possible future setbacks. All these tools allow the development of a comprehensive digitization strategy and contrary to what it may seem, it should not be seen as a threat to the labor market but as an opportunity. With this change, employees will see how their work changes to stop performing repetitive and low-value tasks, allowing their personal and professional growth. For more information, here you can download the Entelgy ebook and discover how much digitization can bring to your company.