RPA in Bussiness
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Overview of RPA in business
Let's expand the perspective by seeing other real examples of RPA:
Payroll is the generic process through which the presence of employees is computed. It is a very important process, as it deals with people’s money.
Payroll processing needs manual intervention month after month, every year. An RPA system can be used to extract the details that are required from handwritten time sheets and calculate the pay from their stipulated contracts and pay them as well (by even ordering the necessary bank transactions).
Any organization that has implemented a CRM faces all sorts of related issues – the client-base is spread across many geographies, there are frequent calls to the back-end databases, and updates and changes are coming from all sources.
RPA solutions can process these requests in batches instead of one after the other, reducing the load on the back-end systems and ensuring better performance and data quality across the whole application.
Irrespective of industry, the client renewal process is, in general, a complex process, but not necessarily due to exceptions and complications, but rather to the number of operations and the synchronization between different departments and systems.
Robots can take over the entire process, starting with the standardized communication with the client, processing the changes, drafting the documents and updating the internal systems accordingly.
Financial statement reconciliation covers all the operations (done mostly by the accounting teams) of matching orders, payments, losses, margins, and so on, with accounts and financial statements. It is a common process that an organization needs to manage in order to ensure clean records and reliable financial documents.
This process is well handled by the RPA software robots. Once they are set up, they can seamlessly replace the human beings who would have to do these jobs, from the beginning to the end.
As organizations grow, it becomes increasingly difficult to closely monitor the compliance requirements that each department has to follow: reporting to authorities, complying with the internal procedures, audit requirements, and so on.
Robots can be set up to cover all these needs, with a low error rate and low human intervention.
Irrespective of industry, customer complaints are always on the radar. Their number and substance is an important indicator of the business health and good predictor of the future of the company.
Through RPA, customer complaints can be categorized based on keywords and other criteria, and possible solutions can be suggested to the customers right away. By doing so, the customer complaints can be answered 24 x 7 instead of 8 hours a day and only 5 days a week.