How to Integrate Robotic Process Automation (RPA) and Artificial Intelligence (AI)?

HOW TO INTEGRATE ROBOTIC PROCESS AUTOMATION (RPA) AND ARTIFICIAL INTELLIGENCE (AI)? Intelligent Automation (IA) is an end-to-end intelligent automation solution that enhances the efficiency of Robotic Process Automation (RPA) and Artificial Intelligence (AI) by integrating both these technological platforms. This in turn helps to maximize the value of digital transformation activities.

WHAT IS INTELLIGENT AUTOMATION (IA)?

The processes are simplified by the IA platform. The outcome or goal can be properly focused upon by the user through this simplification process, rather than the process that has been used to obtain the result or the boundaries between applications. The use of intelligent tools such as chatbots and virtual assistants provides organizations with strategic insights that help in faster response to customers and automation efficiency. Tools like Optical Character Recognition (OCR) support paper-intensive industries such as financial services or healthcare to drive better decision-making and automate text analysis. Business efficiency can be increased by integrating AI and RPA platforms. The AI platform is used so that information from various sources can be gathered and then this specific information is fed into products and tools in order to scale up the value of their interactions. RPA platform is used so that processes can be automated based on structured data. Thus, both these technological platforms provide strategic value. Following are the key factors that depict the strategic advantage of integrating AI and RPA platforms:

Enhanced customer experience:

Customers’ needs can be better understood by organizations that leverage technology, which, in turn, improves the communication process and thus provide high-end products that are in line with the market demands. An IBM customer in the asset management industry namely “GAM,” used bots to provide pricing quotations and first-line customer support. The time taken to provide answers to customer’s specific questions was dramatically improved by this optimization process. Thus, the buying process was streamlined and the customer experience was enhanced.

Higher accuracy:

Better decision-making is ensured by automating repetitive processes and utilizing both structured and unstructured data. For example, the production of monthly management reports is automated by bots that have been created by the RPA platform. Those errors that have been introduced into the process through manual data entry are eliminated by this automation activity. OCR (Optical Character Recognition) also can be used to automate the data extraction process from varied sources and speed up the data processing process.

Costs are reduced:

According to research, an average cost reduction of 22% is estimated through the strategic implementation of intelligent automation by organizations. Upon that, the research paper also states that those organizations that are currently using intelligent automation have already achieved a cost reduction of approximately 27% on an average. The numbers clearly show the strategic advantage of integrating AI and RPA platform.

Productivity is increased:

Automated processes and applications run faster when processes and applications are automated and upon that the forecasting, predictions and decision-making activities are also automated from sources of structured and unstructured data in real-time. This will in turn scale up the organization’s accuracy and productivity in its planning cycles.

CONCLUSION If you are looking forward to implementing RPA and/or AI for your specific project, then do get connected with a premium software testing services company that will provide you with a tactical testing roadmap that is in line with your project specific requirements.

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