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The importance of maximizing ROI in Machine Learning

Robotic Process Automation (RPA) should already be on your company's innovation roadmap. After all, it is about finding ways to automate many processes within your company. Thus, you will improve efficiency, and eliminate downtime in your business daily.

This means that you will also improve your ROI. Thanks to the automation that RPA means, your workers will focus on what is essential. You can forget about them performing repetitive tasks, which do nothing but demotivate them. Now, they can focus on more creative and productive tasks.

However, to achieve this, you need to invest time (and money) in a system that can adapt to your reality. After all, AI can be a powerful ally for your business. However, there is an error of vision that many companies have: unreasonable expectations.


The problem of expectations and ideal RPA models

Generally, the model of an RPA project must be accurate. A system that adapts 100% to your company will not be a problem. This is a half-truth. On the one hand, any model that seeks to obtain a good ROI must focus on the user and the company.

For example, all industries that have adopted a machine learning model are trying to improve work efficiency. However, they are not here to revolutionize everything. A good RPA system should work in conjunction with existing processes. Consequently, this type of RPA does not attack the core of your business.

What does this mean? It's very easy: the development model you are trying to generate in your company has to be based on the real world. Sometimes, you have to think a bit more about what is possible and what is not about the ideal stage. Changes in companies take time and it is not always convenient to initiate a 180-degree transformation.


Gradual change and corporate success

Change is often exciting, but it's also difficult. Amazon didn't become the world's largest online retailer overnight! On the contrary: gradual implementations took place. Little by little, step by step. That seems to be the most relevant digital philosophy you should incorporate into your business.

A failed implementation can scare people inside the company and can even generate doubts in customers. What is happening in this organization? Why have they changed their whole essence? For these reasons, a good RPA implementation should be as natural as possible.

If companies were to implement their innovations from the outset, early on, they would achieve better results. That is why it is always necessary to have a vision for the future. Many companies avoid the idea of change for a long time. However, in the face of a crisis, they are forced to implement this.

You can guess the result, can't you? Launch errors, logistical failures, and all sorts of other inconveniences further affect the company's reputation. Taking your time and doing things little by little helps to make all the pieces fit the way you want them to. But without looking for a perfect model, because that doesn't exist.

At this point, you should assume one truth right away: you can never have the perfect model of automation. Ask yourself if this is even convenient. If this were true, it would mean that you would have no room for improvement. In reality, you should think that you can always improve your technological innovation.


What tasks should be prioritized in RPA?

So, you are probably wondering... how can you do it? One of the first reasons why companies usually incorporate RPA is because they want to identify the most costly and least effective processes. In other words, AI should eliminate bottlenecks and maximize ROI.

A good idea might be to prioritize the initial implementation of RPA on the following tasks:

  • Rule-based tasks. Our digital workers work perfectly with all rule-based activities. As these are tasks that do not require many human decisions, you can delegate them without too many problems. A clear example can be searching and exporting data from a CRM.

  • Intensive tasks. Many of the workers in your company will probably want to delegate some activities that they consider unnecessary. For example, if there are activities that take longer than an hour, you will surely optimize them. RPA allows you to reduce the dedicated time for each one.

  • Tasks with structured data. In addition, data with structured categories are perfect for automation. Artificial intelligence tools make it possible to work efficiently on all this information. For example, by automating some Excel table functions.


RPA: a great opportunity for business

RPA can be a great opportunity for your business. The software can be adapted to each business, but there will never be a perfect model. In any case, the actual cost of implementation will always depend on the existing needs, but it is always cheaper than other SaaS.

Keep in mind that RPA is an investment that will allow you to reduce costs in the future. For example, you may have needed to pay overtime because your workers are not able to fulfill all their tasks. If you take advantage of our digital workers, you will surely save money and optimize the entire process chain.

In short, RPA can be a great idea to improve corporate ROI. If you want to know more about our services, we invite you to contact us.


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