Business process automation is a technology-driven aspect that aims at achieving the desired task in a cost-efficient, error-proof, and streamlined manner. In traditional systems, business process integrated with computer systems is found to be time consuming and repetitive. Moreover, the traditional dynamic methods and techniques used to perform manual actions require human interpretation to interact with the computer. It is incompatible in today’s digital era and can create a substantial dislocation with technological revolutions. These limitations can be minimized by implementing a technique comprising an advanced level of intelligence, repetitive task automation, deploying machine learning and NLP to achieve context awareness and self-aware intelligence protocols in real-time applications. 

Robotic Process Automation (RPA) is a software protocol developed to customize the industry and business practices by automating the existing policies and rules, which comprises of day-to-day routine tasks, analytical data, and deterministic outcomes. In business sectors, substantial time will be consumed by ERP and CRM authorities in maintaining the records, exchanging, and processing the data amongst multiple resources. This process comprises of several repetitive tasks such as extracting, copying, merging and transferring colossal amount of data amongst the resources. Sometimes, human errors may lead to substantial financial losses for the organization. Deploying RPA and allowing robots to handle this repetitive process benefits a business to handle highly structured processes of departments including finance, HR, and procurement efficiently.

Furthermore, a step toward RPA comprises of several stages such as identification, which involves real-time images captured from user interface systems. Activity trigger engine determines the activities on the basis of extracted unique features from images. Moreover, individual activity recognized will demonstrate the current status of the system. In certain design practices, the screenshot of the screen is considered for generating activity information. In some instances, the key input such as a sensor-touch or a foreground change is considered to capture the activity. The pre-processed data is forwarded to the definition generator, which processes the information and sends electrical signals to the robot to automatically perform the derived task efficiently.

Deployment of RPA in business sector helps reduce the overall staffing cost and losses due to human errors. Interaction and services from bots are typical examples of RPA, where the total cost spent on the implementation is low with customized high user integrity and deep systems integration software. The prediction done by Forrester Research has showcased that deploying RPA software in business automation may threaten around 230 million livelihoods of losing jobs or even more, which is approximately nine percent of the global workforce. Furthermore, an increase in the maintenance cost, complexity, control, and governance challenges has put several robotic programs being deployed in organizations on hold.

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