Morgan explains how RPA can be used in a variety of areas including data entry to order , customer service activity completion , accounting and finance , HR , and IT support .
Financial teams rely heavily on accurate and reliable data and record keeping , which is why RPA tools are ideal for helping industry professionals achieve this by automating repetitive tasks such as bookkeeping , data management , financial calculations , payment validation , and much more . Morgan goes on to say that it can also be applied to some of the more labour-intensive areas of financial services such as lending , payment processing , customer service , and operational support for sales and customers .
Automation doesn ’ t automatically solve challenges RPA is a powerful tool that is in high demand , but as with a lot of these new technologies , there is a shortage of skilled workers who can implement and maintain it . This can make it difficult to find and hire the right people for new projects , with experienced professionals often commanding higher salaries , which may not be affordable for all companies .
“ Some of the main challenges are that for RPA or automation to work really well , it needs to be integrated into the entire process flow , including front and back-end systems and data flows ,” says Morgan . “ This means RPA by itself can reach limits and it cannot go
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