The digital era and leadership in adopting emerging technologies have cleared the way for new growth engines that promise to revolutionize industries and increase productivity in their business processes, managing their operations correctly, dynamically, and efficiently.
Technological Infrastructure
In a highly competitive scenario for industries, it is essential for them not to waste time on repetitive tasks, which, although necessary, do not always add value to the business. The effects caused by the Covid-19 pandemic are unprecedented, especially in the business world. As a result, many organizations have had to resort to the accelerated use of new technological tools that make their processes and/or daily operations more efficient, which makes us realize that companies with a better technological infrastructure are usually better prepared to face immediate challenges in the short, medium, and long term. Although the adoption of these modern technologies takes time, the long-term benefits are overwhelming. A good, consolidated, secure, and quality technological infrastructure ensures that all business processes can be carried out efficiently and continuously, providing agility when applying solutions of any kind.
Process Automation Complexity
Extremely simple processes or processes with low execution frequency are often not the best candidates for automation. Despite the possibilities for improvement, the effort that needs to be applied to automate processes with these characteristics may not be worth it. It is also necessary to consider the complexity of each of the processes to be chosen since they are not only to automate but must be implemented to work and to give value to the business. Many organizations tend to automate processes with these characteristics and with limited changes, this, in turn, generates an unclear vision of what is about to be done. Automating large processes with many tasks is another mistake that is often made since the magnitude of the process makes it difficult to integrate it into a single stage. Instead, it is necessary to divide the process into small parts, i.e., generating several phases as sub-processes, so that they can be automated in a given time. Before a decision can be made as to what can be automated, the process and/or the tasks involved must first be fully understood.
RPA Project Assessment
Another case that arises in this type of project is the extremely excessive costs of automation that exceed the expected benefits. It is, therefore, necessary to evaluate the processes well, because in these cases the return on investment is incredibly low, and therefore automation becomes unfeasible. It is vitally important to evaluate each process because in this way a decision can be made as to whether it is viable to automate a process or not. The more processes we want to automate with great complexity, the more time it will take to document them in their final phase, therefore, they will become more complex to explain and therefore generate errors at the time of execution. It is advisable to start with a reasonable minimum solution for each of the processes to be implemented, using lessons learned from each of the phases, and applying interactive cycles of continuous improvement. If in the end, it is necessary to reach a complex solution, which was present at the beginning, in the same way, it will be reached, a little slowly, but with greater certainty of results.
Conclusions
Today process automation has become an indispensable requirement for the survival of companies, therefore, implementing it is an excellent idea to obtain many benefits, however, it is not always viable and solves all problems, so it must be carried out in a careful, planned and well thought out way to take the business to another level, in the right direction and avoiding mistakes that ruin the success of the project.
Read more:
7 things to avoid in an RPA Project
Poorly defined RPA success criteria in projects
Inadequate communication channels in RPA projects
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