Standalone RPA automates individual tasks but lacks the process intelligence required to scale automation across end-to-end workflows. As complexity increases, gaps emerge around exception handling, audit controls, and usability. Newgen’s RPA embeds bots within enterprise processes and applies bot and process intelligence to manage exceptions, involve humans where judgment is needed, and enforce governance at scale. This enables intelligent, context-aware automation across onboarding, claims processing, service request management, accounts payable, and other cross-functional processes.
Robotic process automation (RPA) is used to automate manual, labor-intensive, time-consuming, rule-based, or repetitive tasks. Typically, a bot performs these tasks more efficiently than humans while also being available 24/7 and easily interacting with in-house applications, websites, and user portals. Bots work well in a static environment and can log into different applications, copy and enter data, open emails and attachments, carry out calculations, and much more.
RPA, if implemented well, can yield tremendous tactical and specific outcomes for enterprises across industries. RPA can empower your employees to perform better by automating mundane routine tasks to free up their bandwidth for more value-added tasks. Furthermore, intelligent RPA can help you predict behaviors and drive experience across touchpoints in the customer journey.
There are two main types of RPA:
Some key use cases of RPA include:
Bot scripting is a key aspect of robotic process automation. It is a technology that allows software robots, or “bots,” to automate routine and repetitive tasks that were previously performed by humans. Bot scripting involves creating a set of instructions or commands that the bot will follow to complete a specific task or process.
In RPA, bots can be programmed to interact with various applications, systems, and websites using scripting languages and Application Programming Interface (APIs). Bot scripting involves writing code or configuring pre-built modules to define the actions that the bot will perform. The script may include commands such as logging into an application, extracting data from a document, entering data into a form, clicking buttons, and navigating through menus.
For example, by automating claims processing using bot scripting, insurance organizations can reduce manual errors, improve customer satisfaction, and accelerate claims processing time.