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A Complete Overview of Intelligent Automation

Parvathy S. Nair

Jan 24 2023

The advent of Intelligent Automation has disrupted the world’s conventional methods of improving operational efficiency, especially in the past 3 years since the onset of the pandemic. This technology, also known as smart automation or cognitive automation, has played a crucial role in helping organizations continue to operate and serve their customers, even as lockdowns and other measures have disrupted traditional ways of working.

By effectively automating mundane business processes, organizations free up resources to focus on other, more pressing business needs to provide their services. This explains its rapid rise in popularity.

First things first, however – what does Intelligent Automation entail anyway? 

Introduction to Intelligent Automation

For the uninitiated, Intelligent Automation refers to using technology, such as artificial intelligence and machine learning, to perform tasks that usually require human intervention. It can automate a wide range of processes, from simple tasks like data entry to complex processes like decision-making. Intelligent automation has the potential to improve efficiency and productivity significantly, as well as reduce the need for human labor in specific industries.

Related article: Top 10 Intelligent Automation Trends and Predictions in 2023

How does Intelligent Automation work?

Intelligence Automation is designed to improve efficiency and accuracy by automating repetitive, predictable tasks and making decisions based on data. 

Listed below are a few of the several ways in which it can be implemented:

Rule-based automation

This automation involves using predefined rules to make decisions and perform tasks. For example, a rule-based system might automatically approve or reject loan applications based on credit score, income, and other factors.

Machine learning-based automation

This type of automation involves using algorithms that can learn from data and improve their performance over time. Machine learning-based systems can be used to automate tasks that require pattern recognition or even decision-making based on input data.

Knowledge-based automation

This automation involves using a knowledge base, a collection of information and rules, to make decisions and perform tasks. A knowledge-based system, when applied, might be used to diagnose and troubleshoot technical issues.

Intelligent Automation systems can be trained using a variety of methods, including supervised learning, where the system is provided with labeled examples and learns to make predictions based on them, and unsupervised learning, where the system is provided with a large amount of data and must find patterns and relationships within it. It also extensively involves using technology to automate tasks that humans usually do. There are several ways that this can be accomplished:

  • Robotic process automation (RPA): RPA involves using software robots or “bots” to automate tasks. These bots are programmed to mimic human actions, such as typing and clicking, to complete tasks on a computer.
  • Cognitive automation involves using artificial intelligence (AI) and machine learning to automate tasks. This automation can analyse data and make decisions based on that data, enabling it to perform more complex tasks than RPA.
  • Natural language processing (NLP): NLP is a type of AI that allows computers to understand, interpret, and generate human language. This can automate tasks such as customer service inquiries or document reviews.

Companies globally have noted this efficiency, and reports from Deloitte state that over 85 percent of organizations are rethinking how work is done and have or will soon begin using intelligent automation. 

Related article: A Complete Guide to No-code Development for 2023

Importance of Intelligent Automation

From automating mundane rule-based tasks to performing cognitive tasks such as perception, reasoning, and learning, intelligent automation solutions are essential for businesses to remain competitive in today’s fast-paced, technology-driven environment.

Overall, intelligent automation can help organizations improve their operations, reduce costs, and enhance the customer experience. 

Benefits of Intelligent Automation 

The number of benefits to organizations. include increased efficiency, accuracy, and speed. Some specific advantages of intelligent automation include the following: 

Benefits of Intelligent Automation

On this note, studies conducted by Accenture indicate that even a standard automation solution, such as a successful RPA implementation, has the ability to generate a 40 to 80 percent reduction in processing costs and an 80 percent reduction in processing time. 

Related article: What is Low-Code Automation? Everything You Need to Know

RPA and Intelligent Automation: What are the differences?

Robotic process automation (RPA) is a technology that allows organizations to automate repetitive, predictable tasks by using bots to mimic human actions, such as typing and clicking. RPA is typically used to automate tasks performed on a computer, such as data entry or document processing.

Intelligent automation, on the other hand, refers to the use of technology, including AI and ML, to automate tasks. This can include RPA, as well as other types of automation, such as cognitive automation, as mentioned above, which involves the use of AI and machine learning to automate tasks, and NLP.

To summarise, RPA is a specific type of automation involving software robots to automate tasks. In contrast, intelligent automation is a broader term for using technology, including RPA, to automate tasks.

Related article: A complete overview of Intelligent Automation role in Banking

Intelligent Automation Examples / Use Cases

Here are a few examples of how intelligent automation is being used

  • Data entry: Intelligent automation can automate the process of entering data into computer systems, improving the speed and accuracy of data entry.
  • Customer service: AI-powered chatbots can handle customer inquiries, freeing up human customer service representatives to focus on more complex tasks.
  • Supply chain management: Intelligent automation can optimize the movement of goods through a supply chain, improving efficiency and reducing costs.
  • Healthcare: AI can be used to analyze medical images and assist with diagnosis, freeing up doctors to focus on more complex tasks.
  • Finance: Intelligent automation can process and analyze financial data, enabling organizations to make more informed decisions.

These are just a few examples of how intelligent automation is being used. As technology continues to advance, it is likely that we will see even more use cases for intelligent automation in the future. 

This is why intelligent automation can be found at the top of every organization’s strategic and tactical agendas. In fact, Gartner expects that by 2024, organizations will lower operational costs by 30% by combining hyper-automation technologies with redesigned operational processes. Overall, the future of intelligent automation is expected to be characterized by the increasing integration of AI and ML technologies into various aspects of modern life and the continued development of new and more advanced applications of these technologies.

How to choose the right Intelligent Automation platform for your business?

There are a few key factors to consider when choosing the right intelligent automation platform for your business.

  1. Compatibility: Ensure the platform is compatible with your existing systems and processes.
  2. Integration: Consider how well the platform integrates with your other tools and technologies.
  3. Scalability: Choose a platform that can scale your business as it grows.
  4. Functionality: Look for a platform with the features and capabilities you need to automate your business processes.
  5. Support: Ensure the platform has good customer support and a strong track record of reliability.
  6. Cost: Compare the costs of different platforms and choose one that fits within your budget.
  7. Ease of use: Consider the learning curve and complexity of the platform, and choose one that is easy for your team to use.

It may also be helpful to research and read reviews or case studies from other businesses that have used the platform you are considering. This can help you better understand the platform’s strengths and weaknesses and how it has worked for others in similar situations.

Intelligent Automation Platform Trial – Autonom8

When you’re looking for the right Intelligent Automation platform for your business needs, consider using Autonom8.

The Intelligent Automation trial we offer allows our users to experience firsthand how the platform can effectively streamline business processes and increase efficiency by automating repetitive and time-consuming tasks and workflows.  As a bonus, the intelligent Automation platform has been widely popular among its users owing to its ability to integrate with existing systems and its convenient, user-friendly interface.

Our users tell us that utilizing Autonom8’s Intelligent Automation platform is an exceedingly positive experience. Their testimonials state that many enterprises may benefit from integrating this technology into their operations to significantly improve efficiency and cost savings for organizations across various industries.

Start your trial today!

FAQs on Intelligent Automation

What is Intelligent Automation?

Intelligent automation (IA) refers to integrating robotics with multiple components from different emerging technologies.

What is an example of Intelligent Automation?

A popular example of Intelligent Automation in action sees intelligent bots extracting data from customer service interactions, emails, or reports. This extracted information automatically updates CRM data, such as customer information, purchases, and relevant logistics data.

What is the difference between RPA and intelligent automation?

RPA is a specific type of automation that involves the use of software robots to automate tasks, while intelligent automation is a broader term that refers to the use of technology, including RPA, to automate tasks.

What is the future of intelligent automation?

The future of intelligent automation will likely involve the continued development and deployment of AI and ML technologies in various industries and applications. These technologies are expected to play a key role in the digital transformation of businesses, governments, and other organisations, as they enable organisations to automate tasks, improve efficiency, and make more informed decisions.

What is the scope for intelligent automation?

The scope for intelligent automation is immensely vast, as these technologies can be applied to a wide range of industries and applications. Having seen use cases in the healthcare, finance, and customer support and service verticals, the scope for intelligent automation is limited only by the imagination.