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Intelligent Automation vs. Robotic Process Automation: What Are the Differences?

Intelligent Process Automation (IPA), Cognitive Automation, Digital Transformation, Business Process Automation, Business Process Management (BPM), Process Automation Solutions, Business Operations, Robotic Process Automation (RPA), RPA, Digital Transformation

Employees can focus on more creative and inventive work thanks to technologies like intelligent automation (IA) and robotic process automation (RPA). They generally have to do less work reviewing and responding to irrelevant emails, reducing the need for helpdesk staff. In many cases, companies have found that IA and RPA have led to a permanent reduction in headcount.

Intelligent automation, or IA, and robotic process automation, or RPA, permit employees to focus their energy on more creative and innovative tasks.

Now let’s examine what these terms mean and how they affect your business before understanding why they are different.


What is Intelligent Automation (IA)?

Business process management (BPM), robotic process automation (RPA), and artificial intelligence (AI) are the technologies that are used to implement intelligent automation to streamline a company’s processes.

The IA process helps a company improve operational efficiency and free resources. IA connects the doing and thinking aspects of automation, unlike many other technologies. In this way, IA is used widely in many industries.

Benefits of IA

1. Enhancing employees’ productivity and reducing cost: The use of IA enables companies to scale their processes quickly without increasing risk, compromising quality, or straining their staff. Consequently, ROI and productivity are improved.

2. A positive customer experience is essential: A pleasant customer experience can be achieved by bringing high-quality products to market and promptly responding to consumer inquiries.

3. Increasing the accuracy of the process: Using AI to drive essential decision-making is one of the benefits of IA. It

4. Dealing with compliance issues: IA allows companies to leverage the task automation feature to ensure the business complies with regulatory and legal policies.


What is Robotic Process Automation (RPA)?

Robotic process automation (RPA) is a transparent interface technology that allows businesses to easily construct and operate robots or bots that replicate human operations using any system’s user interface. RPA robots, unlike AI, do not learn something new with each iteration. They are unable to improvise or devise a more efficient method of carrying out pre-programmed duties.

These RPA bots function as your virtual assistant, allowing you to automate mundane but time-consuming tasks.

Surprisingly, these robots can read what’s on the screen, recognize data, and perform a variety of tasks that would normally require a person.

Benefits of using RPA

1. Boosting productivity: RPA increases efficiency by automating mindless processes like copying and pasting data from one system to another, allowing staff to focus on more important duties. This has the potential to increase workplace productivity.

2. Enhancing data security: A business can reduce the number of times it must handle personal information by using RPA. Data security is automatically increased as a result.

3. Improved customer service: An employee can spend more time focusing on customer service rather than rote administrative tasks. This can result in faster resolution times and better customer service.


Major Difference Between Intelligent Automation and Robotic Process Automation

RPA performs repetitive tasks with no variation. When you log in to your bank account, for example, you use your username or login id and password. This procedure is the same regardless of how many times you use your online bank account.
RPA is the ideal instrument for these tasks. As a result, RPA is prone to scalability concerns, as when a process changes, RPA falls flat on its face.

IA, a more advanced variant of RPA, was born out of this. Every RPA quality is integrated into IA, which provides an extra layer of capacity by adding bots that can learn and react to changes in real-time. To handle exceptions and constantly learn from data patterns, IA uses AI technologies such as machine learning and natural language processing (NLP).

Various Data they can Handle

When it comes to tasks with a lot of variances, the RPA is ineffective. It can only deal with structured data. IA, on the other hand, can work with both structured and unstructured information. As a result, IA may work miracles in terms of reducing expenses and increasing production in a short period.

You may extend your capabilities and deliver insights into process improvement across the organization by using IA. This alters your working style and leads to long-term success.

Limitations of IA and RPA

RPA is frequently difficult in the long run since it requires you to create a system that carefully adheres to a set of rules. RPA, for example, is not sophisticated enough to perform a task if a customer enters inaccurate data.

This is where IA enters the picture. Companies might adopt IA when RPA is no longer delivering the desired outcomes. This enables the machine to finish the task utilizing AI reasoning and decision-making procedures. RPA is the stopgap to an eventful IA integration because of its superior function and lack of constraints.

Basic Use of IA and RPA

RPA can automate email, download invoices into a specific folder, and create invoices in the accounting software. By contrast, IA automatically reads the invoices and extracts the invoice number, product description, due dates, and amount due, among other information.

Can they work together?

RPA is the operation’s hand, while IA is the operation’s brain. RPA excels in automating routine rule-based processes and simulating human actions. RPA processes are appropriate for tasks like data entry, reading, and extraction. IA, on the other hand, is great for simplifying a process from beginning to end.

RPA and IA can both work in the sink because of their competing nature. For structured, repetitive, and monotonous work, IA can use RPA to optimize processes.

You may automate and optimize your business from a tactical and process perspective by combining IA and RPA on the same business process.