The process automation is the ability of a technological system to perform a series of tasks that are originally performed by human beings. This automation also controls, corrects and makes visible the status of workflows and tasks, and generates reports of the entire process.
Automation helps companies create repeatable and standardized processes that improve the reliability of the final result by reducing the risks of manual errors.
RPA offers benefits in functional areas, including HR, Finance, Accounting and Customer Service. They can be integrated into any industry where there are highly repetitive processes based on rules that are carried out very frequently.
One of the benefits of RPA is that it can operate 24/7, which allows the business to remain operational outside of standard working hours, and maintain operational efficiency. In addition, it is highly scalable and responsive for fluctuations in labor demand, allowing its development as it is required.
Remove the human element from a repetitive multi-step task. Enables a competitive advantage through 24/7 operations using robots programmed to operate without breaks or breaks. It helps create value by re-appropriating high-value skills for innovation. It can help improve accuracy and reduce errors. Reduces risk and offers measurable results, with visible impact.
The effectiveness and efficiency of organizations is reflected in a reduction in response times, cost savings, improved customer and employee satisfaction, increased productivity, etc .; In short, it becomes an increase in competitiveness. Process automation must generate sustainable value that guarantees the response to changes in the market, but, above all, that generates value for customers and the market itself.
Automation and cognitive technologies have been identified as key priorities by the top executives of companies. Cognitive computing has drastically transformed business processes through automation and intelligence. IBM Watson delivers and administers RPA through the application of cognitive analytics to monitor the behavior of the client, provider and employee, through their ability to:
– Understand natural language.
– structured and unstructured data
– Generate and evaluate hypotheses for better results
-Adapt and learn from the user’s selections and responses.