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Robotic Process Automation – Bot Development

Process of automating business operations with the help of bots without human intervention is called Robotic Process Automation (RPA).


Introduction to RPA

RPA processes are used to automate the workflows with the help of robots which reduces human efforts. There are mainly below three terms used when we are planning to have a bot development:

  • Robot: Entity which can mimic human actions without human intervention.
  • Process: Sequence of steps which executes and leads to a meaningful activity. For example, the process of making tea, coffee or your favorite dish, etc.
  • Automation: Any process which is done by a robot without human intervention.

RPA Tools

RPA Tools are the software through which you can configure tasks to get automated. In today’s market, the three main RPA Vendors are as following:

RPA Components

RPA Architecture mainly consists of the following three components:

  • Process Designer: A designer where you can develop your automation workflow.
  • Robot/Agent: Entities which runs your automation workflows in attended or unattended mode
  • Orchestrator/Scheduler: A web-based tool which helps in continuously executing repetitive process on various platforms

RPA Agents

The Robot is an execution agent that enables you to run workflows which builds in Studio. There are below four types of robots:

  • Development/Staging Robot
  • Attended/Unattended Robot

RPA Projects

RPA is used in many industries to automate workflows based on requirement of organization. Most commonly RPA used in the industries such as Healthcare Administration, Client Service, Accounting Firms, Financial Service Providers and Human Resources. Here below are few real times use cases on which industries implements robotics process automation:

  • Web/Data Scraping: Web/Data scraping is one of the efficient areas where Robotic Process Automation can be used. Either it be a stock market trading website, e-commerce websites, commodities trading websites, etc.


  • Data Migration & Legacy Data Entry: In many organizations, legacy systems perform important role and these systems can have dependency issues to pull the required data from other interfaces. One can’t monitor, migrate and enter the data each day manually if a huge amount of data gets generated daily.


  • Email Query Processing: In many organizations, there are lots of emails are coming every day which need to be segregated based on categories/criteria. Now, if we allocate a manual team to do this, it will take a huge time and efforts. So, better solution in this case is to build an automate workflow which segregate email on regular interval using a robot.


  • Invoice Processing: From a big company to small, all of them must deal with thousands of invoices every day and that can be for a various purpose. Now it is very difficult and almost impossible to extract each detail from invoices and store them in a database without errors in less time. So, one can automate this workflow using a robot.


  • Customer Support Emails: In many organizations, a backend team must have to deal with a large amount of support tickets generated for different purposes daily and each of these tickets must be replied immediately to maintain good relationship with end customer. It is bit difficult for a manual employee to reply all these emails single handily on a day to day basis. So, organization can just automate this task using a robot.

RPA Benefits

  • Software robots are one fourth the price of full-time employee which leads to cost reduction.
  • Robot can operate 24X7 without breaks, without additional resources and though very efficient.
  • Human can make writing or data entry mistakes, whereas robots are very accurate and perform the same task in same way every time without a single error.
  • Robots can provide a detailed process logs, audit logs and enabled advanced business analytics.
  • Robots preserve application and data integrity in an ease by leveraging the existing application interface and re-using its business rules, databases and validation without having a deep understanding and re-engineering.


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