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Business Management Review | Wednesday, March 23, 2022
Robotic Process Automation (RPA) has created a substantial buzz around the technology world. It is publicized as one of the most sought-after technologies to come out of AI (artificial intelligence ). RPA tools pose on top of a company’s software to capture and analyze data. The data analysis helps the RPA tools perform routine tasks like automated emails to respond to standard requests or streamline process flows and business operations. As a result, these tools can complete surplus and repetitive tasks, enabling companies to use their workforce in more profitable areas.
Companies must practice caution and use the tools efficiently for a productive business process.
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Following are a few steps to consider before including RPA technology in a business:
Get Executive Buy-in Early: Based on a survey by PWC, almost 98 percent of respondents who work in an organization agreed that developing an RPA program is important, very important, or extremely important. Moreover, the C- the RPA phenomenon has also engulfed suites in organizations as it provides clear cost-cutting benefits with efficient and accurate processes.
Cost Reduction: Automaton has become a major asset for companies as it offers excellent cost-effective, error-free, and streamlined services. According to The Hackett Group, a complete automated routine task can reduce the cost of transactional processes by 50 to 75 percent while enabling people to focus on value-added tasks. As a result, many companies have been using RPA tools in accounts payable and receivable, IT spending, human resources, and many others, which a shared services center manages.
Training: The success of RPA adoption depends significantly on the employee’s knowledge of technology. Organizations should provide RPA certification training to their employees. It offers an overview of RPA concepts, RPA tools, workflows used in intelligent automation, and steps for implementing RPA in different enterprise segments. Companies should also make sure that their employees understand intelligent technologies like artificial intelligence, machine learning, deep learning, and natural language processing and build a potent workforce. This step can improve the company’s productivity and growth to a large extent.
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