One of the areas of any company that has the most tedious and repetitive tasks is, without a doubt, finance and accounting. Hence, more than half of the customers who start automating with RPA do so with financial processes. Data management is one of the most time-consuming activities for the staff of any department: from completing databases and checking bank transactions to making reports, among other tasks.
For this reason, technological solutions focused on improving productivity and accelerating workflows have been among the most demanded in recent years, especially in the latter. And RPA has been one of them since systems such as ERPs fall short when addressing specific procedures, such as those of “accounts payable”, one of the processes that consume the most time and with a high chance of error rate.
Manual accounts payable processes are not only tedious, but they are also quite chaotic, especially the validation part: fewer and fewer paper invoices arrive at companies, but those that arrive must be digitized to be later processed. Next, the information must be classified and sent to the different control centers that the company has to proceed with after payment. This simple procedure can take days and weeks since employees must do each step manually and, in addition, combine this work with other tasks of the department. This can lead to failures and even “lose” some bills, with additional expenses.
RPA solves a large part of the problem that we explained to you before. How? With end-to-end automation of financial processes, that is, from start to finish, you can:
And this is only one process since with RPA, and you will be able to automate financial operations of the entire area, obtaining numerous advantages, including:
Digitization continues to accelerate our day to day while changing it. Everything is in full swing with processes, people, and even the way of understanding the markets. RPA technology has come to stay, with more and more businesses committed to combining technology and humans in their teams.
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