RPA and Artificial Intelligence: Ever since mathematicians started programming computers, the goal has been to get machines to do some work for us.
With RPA and AI, this is possible and effective in generating more efficiency in processes and reducing costs.
In this article, we will present the differences between these two technologies and their advantages. If you want to understand the possibilities and how to apply them to your company best, check out all the topics below!
What Is RPA?
Robotic Process Automation ( RPA) is software used to perform repetitive tasks. That is, it is an application that aims to automate processes but in a way that involves less human interference than traditional automation strategies.
Since employees won’t waste time on paperwork, they can focus on what they do best and actively benefit the company.
What Is AI?
Artificial intelligence is the area that studies how to make computers more autonomous, capable of making relevant decisions, and artificially simulating the human being’s thinking and learning process.
AI applications are numerous, from voice recognition software to computer vision, being used in the most diverse areas — such as medicine, sports, and industry.
How Does Each Work?
Programmers or regular developers can only configure an RPA application. It is used as an “apprentice” for employees, and after undergoing training, it can perform specific functions.
Applications equipped with artificial intelligence are generally capable of learning and preparing for the unexpected. Thus, they deal with a high amount of data and robust calculations to generate results.
The main difference between the two technologies is that RPA systems are trained to specialize in specific tasks and not for complex decisions; AI ones can even predict the future.
What Are The Advantages Of RPA?
RPA and AI are different technologies, which can be seen in the benefits offered to companies. In the case of robotic process automation, the gains are related to the ability to scale specific actions, attacking repetitive tasks to reduce costs and minimize errors. Check out!
Automate Repetitive Tasks
Software with RPA technology applies prior and specific knowledge to a future situation. That is, the solution identifies the presence of the conditions and rules that were programmed, responding with the predefined action.
Compared with different types of tasks, Robotic Process Automation can automate functions that do not require analysis, evaluation, and creativity. Therefore, it targets most of the repetitive activity, positively reducing work overload and increasing productivity.
Standardize Processes And Activities
Another benefit is the constant quality in executing tasks, eliminating errors and reworks. For example, if the database is correct, no matter how many invoices the software will issue, they will all be filled in correctly.
Two examples of RPA applications follow: in HR, robots can reduce the possible occurrence of problems related to payrolls, and contracts, among others; in the customer service sector, highly trained software will be able to offer faster and more efficient support, helping to build customer loyalty.
Optimize Professional Skills
Automating repetitive tasks makes it possible to apply the knowledge and skills of employees in more strategic areas. This is important because bureaucracy generates situations of excess competence. By eliminating them, we can better use our employees’ work.
Imagine the case of a financial analyst busy with simple, repetitive actions. In this scenario, the organization is paying for a professional with higher education and experience in the area, but it needs to use its potential in the activities. Hence the importance of automating tasks to reallocate the specialist to functions in which he can add more value to the company.
Increase Information Security Levels
In addition, it is worth mentioning that robots provide greater security when dealing with sensitive customer information, making the correct storage according to the standards required by programmers. Therefore, we strengthen data integrity to avoid violations of legislation on the subject.
Mitigate Costs And Increase Revenue
In short, RPA generates cost and error reduction and brings incredible speed and efficiency among its benefits. Integrating it with internal systems with a tool that fits today’s routines is also easier.
Financial results are equally affected by the impact of benefits on new business opportunities and revenue streams. After all, it is possible to use professional skills strategically and make the company more productive.
What Are The Advantages Of AI?
Artificial intelligence has different missions compared to RPA. Here, the proposal is to apply previous knowledge in specific actions and simulate human capacities, such as judgment, creativity, and learning. See the advantages!
Run Analyzes
The first benefit of AI is the ability to break down knowledge or a database into parts to perform predictive, preventive, or descriptive analysis.
It’s an essential resource because while employees can do this work, the technology can process large volumes of data and simulate human skills on a large scale.
Build Competitive Advantages
It is not by chance that artificial intelligence is one of the trends in business intelligence. Different types of analysis help companies develop products, identify consumer demands, and influence buying habits.
Improve Decision Making
The information used in decision-making is also more qualified, especially with models that combine technology and statistics. Therefore, managers can solve problems by increasing their percentages of correct answers and basing their choices on data.
Make Judgments
Artificial intelligence resources can also perform tasks that involve judgment and evaluation. One example is auditing a financial database for inconsistencies and fraud; another is listing products in a store according to consumer purchase preferences. And a third is to point out the best route from the GPS information.
Understand Human Language
Artificial intelligence solutions can be used to understand people’s speech or writing, opening up the possibility of automated assistance. With this, we reduce the number of demands that reach employees, providing quick and adequate responses to customers.
Customize The Services
Artificial intelligence can also help build customer loyalty by predicting their purchasing preferences. Not to mention machine learning applications and innovative strategies that can be developed, highlighting the company in the market.
