Intellectual Robotic Process Automation- Benefits & Use Cases


Intellectual Robotic Process Automation – Benefits & Use Cases

Automated machines are taking over human power in the workplace with no scope for inefficiency. The trends in technology have changed the way of the work process in every industry. We can observe machines are capable of achieving more tasks than humans using the latest technologies. In some cases, they can complete human work more accurately with timely results.

Many companies are moving towards the digital workplace to ensure error-free productivity. Businesses are using robots to perform everyday operations using artificial intelligence that enables them to interact like humans. The machines are beneficial for performing activities like transaction processing, data manipulation, and communication. So, the companies can perform all internal processes without the involvement of human resources.

The advancements in artificial intelligence and machine learning techniques are reasons for upgrades in the automation process. It has helped bots to handle repetitive processes more cognitively with intelligent decisions. In this article, we will give complete information about cognitive robotic process automation.

What is Robotic Process Automation?

Before starting with cognitive RPA, we should know briefly about robotic process automation. It can be defined as technology that helps developers to build, deploy and manage software for robots. The firms are moving to this emerging technology to streamline internal operations at a low cost. Automation of regular tasks gives more scope for firms to concentrate on serving customers and other high-level operations.

These software robots can perform rule-based and repetitive tasks without any assistance from humans. These tasks include filing e-forms, data entries, and read e-mails. Companies are introducing attended robots to perform front desk operations. They can handle calls, take notes and reminders, and assist agents during customer interactions.


What is Cognitive Robotic Process Automation?

The cognitive robotic process automation uses artificial intelligence to complete the work processes. It leverages technologies like natural language processing, machine learning, text analysis, optical character recognition for self-learning from the available data. This continuous process of learning helps machines handle complex tasks by making automated decisions using predictive analysis. So, by using the cognitive robotic automation process, we can improve the overall business quality, reduce errors, and improve scalability.

Extension of RPA’s Reach With Cognitive Technologies

The software robots can perform rule-based actions which are predefined while developing the bots. It means these bots cannot perform actions that require human perception decisions.

The RPA is helpful in places to perform repetitive and easy tasks like data entries, service support, and predictive maintenance. It requires human support to handle complicated exceptions.

The emerging technologies are bringing humans and computers to the same phase for effective automatic processes. Robot automation can be represented as three levels according to their intelligence.

  • Rule-Based Automation

The robots that complete the work process depending upon the predefined rules fall under this category.

  • Intelligent Process Automation

These computers robots can analyze the unstructured data available in the system to draw interfaces and communicate with humans.

  • Cognitive Platforms

The cognitive robotic process automation can learn from experience using AI and perform complex tasks with minimum human interaction.

The integration of cognitive technology in RPA will help them to think like humans. It uses text analysis, natural language processing, and voice recognition to understand unstructured data and make automated decisions. The cognitive RPA can observe, improve, and expand capabilities to function. This helps businesses to improve customer experience and revenues.


Benefits of Cognitive Robotic Process Automation

As businesses want to implement automation in their operations, they are combining AI technologies with RPA to scale up the benefits of cognitive technology. Here are the advantages of using cognitive RPA.

  • Increases business agility by handling highly complex processes and unstructured data.
  • Improves product quality by reducing human errors and giving smart insights.
  • Improve data security with effective monitoring and fraud detection.
  • The automation of regular operations in businesses will reduce the cost.
  • Makes consumer-centric decisions by analyzing the data sources, which results in customer satisfaction.
  • Employees can engage focus on qualitative tasks, which are beneficial for the organization and personal career growth.

    What is 6 x 4 ?

    What are the Applications Of Cognitive RPA?

    The cognitive RPA can be used in many cases to make a significant difference in the work processes.

    • Customer Service

    Many companies use chatbots to provide customer service support round the clock. The integration of cognitive RPA abilities in these will give customers an experience of talking with human representatives.

    • Accounting

    Accounting departments can make use of cognitive RPA to automate the invoicing process. The software robot will perform tasks like opening e-mails, extracting payment details, and copy them to accounting systems. By enabling the cognitive software bots in the system, the team can spend more time on other related areas to improve company profits.

    • Product Categorization in Retail

    Collection and analyzing data from different stores is a big challenge for the retail industries, but this becomes simple with cognitive RPA. The search and purchase data analysis will help them concentrate on particular category products to increase sales. The cognitive robots can analyze data in multiple formats like texts, images to create structured data without any prone for errors.

    • Attended Automation

    Cognitive RPA can handle the agents effectively in real-time. The automated bots have the intelligence to convert visitors to customers. It displays the relevant data on the agent screen in few seconds during the interaction with the customer. They improve the end-user experience, agent’s success rate that boosts the revenue of the organization.

    • Documents Processing

    The cognitive RPA uses optical character recognition technology to process the documents of all formats without any error. It can tackle unstructured data efficiently, which is an irritating and error-prone operation of the business. This is helpful in the healthcare, banking, and insurance industries.

    • Employee Onboarding

    The employee onboarding process is a multistep task for the HR department that requires time and effort. Cognitive robotic process automation can streamline this process in an efficient and error-free manner. It can handle the automatic creation of login credentials, schedule meetings, team introduction mails, and more.

    • Hassle-free Insurance Claiming

    Data gathering, validation, and regular data updates are the main operations of the insurance. The employees have to retrieve data from different sources for renewals, claims, or monthly reports, which gives more space for errors.

    Cognitive robotic process automation is handy in different stages of application development.

    • Application Health

    The cognitive RPA is helpful to monitor the app’s health easily during the development process. The software robots analyze the data patterns and invent new techniques to observe the changes in the application.

    • Better Software Testing

    The continuous changes in application features will reduce the efficiency of conventional testing techniques. In this case, the manual power involvement is worthless and reduces the quality assurance of the product. But the cognitive RPA can design a dynamic testing process that self improves according to the development process. So, optimization of test techniques is not necessary throughout the app life cycle.

    • Self-Maintenance

    The identification of defects in the app development process is a difficult and time-consuming process. It also requires a lot of effort to fix them, and it becomes tedious once the app development completes. The system with cognitive robotics process automation can handle defect management intelligently. So, we can rest assured about the application quality with less effort.

    Apart from these, we can use cognitive RPA in different categories of the industry to improve productivity and customer experience. In present days, this technology can achieve image identification, categorization, extracting data, and more. With innovations every day, we can expect more advancements for a better tomorrow.


    Automation is the driving force behind introducing digital workplaces in businesses. The software robots are using the combination of emerging technologies to perform repetitive tasks smartly without the intervention of humans.

    To know complete details about the implementation of cognitive robotic process automation, one needs to contact the experts. USM is the best software development company in the USA and India that has proven experience in using the latest technologies in the best way. Get in touch with us!

      What is 2 + 2 ?

      Leave a Reply

      Your email address will not be published.

      Quick Enquiry