IPA vs RPA: similarities and differences

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by Madhurjya Chowdhury


September 16, 2021

Here are the similarities and differences between IPA and RPA

Intelligent Process Automation (IPA) and Robotic Process Automation (RPA) relieve employees of the burden of mundane and repetitive tasks, allowing them to focus on more creative and inventive tasks. Today we are going to take a look at the similarities and differences between IPA and RPA. We’ll start by defining each term before moving on to the similarities and differences.

What is IPA?

Intelligent Process Automation (IPA) is a digital solution for operation and maintenance business processes that uses technologies such as natural language processing (NLP), artificial intelligence (AI), automation of Robotic processes (RPA), machine learning (ML) and perceptual understanding of documents to make the possible. Robotic Process Automation (RPA) is a technology to automate normal and repetitive customer service operations. IPA uses artificial intelligence technology to mimic the human intellect, giving the tools and techniques necessary to accomplish high-level activities requiring reflection, judgment, decision-making and analysis. This technological solution is essential because it allows staff, such as customer service representatives, to spend more time conversing with consumers and building relationships.

API Examples

Businesses can focus their attention on more essential business activities through intelligent automation. Ultimately, IPA saves time, and we all know time is money. Let’s take a look at some examples of APIs in action across various industries.

Health care

Smart automation software can sift through tons of structured data and recommend therapy or diagnosis based on criteria like medical history or symptoms. What a doctor would spend hours researching takes seconds at a computer. This allows physicians and other healthcare workers to spend more time with patients rather than combing through medical research resources.

Smart Virtual Assistant Market

More and more businesses are turning to sophisticated virtual assistants instead of chatbots (IVAs). IVAs use IPAs to initiate human-like dialogues, while typical chatbots use scripts to simulate human conversations and interactions. IVAs can use natural language processing to accurately respond to queries for which they have not been trained or programmed. They use deep learning and machine learning to capture familiar phrases, expand their vocabulary, and accurately answer customer questions. With informed and authentic interactions, IVAs provide a good customer experience.

Integration and departure of employees

Onboarding and offboarding are operations that can be time consuming and involve a lot of effort on the part of the staff. While paperwork, certification, payment systems, and obtaining resignation letters are all relatively easy activities, they can be time consuming and tedious. These procedures, on the other hand, can be simplified and performed in a timely and error-free manner using IPA. Employees can focus their energies elsewhere, leaving the hard work to the machines.

Inventory control

Traditional inventory control often requires lengthy and labor-intensive manual processes. Businesses no longer depend on inventory workers to accomplish tech activities like writing invoices and issuing work orders through smart automation. Automated inventory control systems, on the other hand, use IPA to manage back office activities including inventory monitoring, shipping and fulfillment, supply chains, and more.

What is RPA?

Robotic Process Automation (RPA) is a term that refers to programs, scripts, or software that automate simple, repetitive, rule-based operations that take time to perform manually. RPA not only saves labor expense, but also eliminates human error.

These “robots” are designed to perform certain tasks in a precise and autonomous manner. They are able to retrieve data, analyze unstructured data, process transactions, and even communicate with other digital systems.

Manufacturing, commerce, healthcare, supplier management, and HR services were among the first industries to use RPA technology, but today organizations in many industries are using it.

Examples of RPA

There are many use cases of RPA across multiple industries that could benefit from automation to free up some workers’ time for creative tasks. The RPA examples below are some of the most common uses for robotic process automation.

Payroll processing

Throughout the year, payroll processing requires many phases of human work. Fortunately, RPA systems can automate tasks like generating pay stubs, calculating costs and deductions, organizing and storing critical data, and generating annual reports. Automating payroll processing relieves the stress of understanding complex tax regulations while reducing expenses and increasing productivity and accuracy.

Internet audience analyzes

To better understand their consumers, all businesses rely on the ability to analyze massive volumes of behavioral data online. Fully automated web analytics software can properly anticipate customer behavior, allowing businesses to sell products and services solely on this new data. This not only leads to more revenue but also to a better user experience.

Credit card applications

RPA technology is used to process the majority of credit card applications from financial organizations. The software is configured to collect data, evaluate documents, perform credit and security checks, and then decide whether or not to give an individual a credit card.

Patient registration

Hospitals visit a large number of patients every day, and regularly checking all of their data manually can be time consuming and tedious. Patient registration, on the other hand, can be accelerated through the use of automation tools. IPA robots are able to guide patients through the registration process and provide them with all the necessary information. Automating inpatient registration reduces the risk of human error, improves quality and saves time.

IPA vs RPA: Major difference

IPA is often confused with RPA, although the two are not the same. RPA can be implemented on IPA systems, although it is not required for RPA to work.

RPA refers to technological tools and procedures that automate and complete time-consuming operations much faster than people. These activities are often rule-based, repetitive and straightforward.

Because systems are designed to carefully obey a set of rules, RPA can be troublesome at times. For example, if a customer enters incorrect information, the system will be unable to perform the operation.

This is where intelligent automation comes into play. When RPA is no longer enough, IPA is used to complete complicated procedures using AI reasoning and decision-making approaches.

Conclusion

With the rivalry boiling in mind, the development of advanced task automation technologies has increased, and it is expected to increase a lot more in the years to come. Beyond the limits of standard business process management. IPA software is intended to help processes with more than just operations management. Starting with locating and eliminating performance bottlenecks. Advanced analytics are used by intelligent process automation software. This makes it easier to analyze overall performance, understand the ever-changing market structure, and formulate appropriate plans.


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