Everything You Should Know About Automation Intelligence

Nov 29, 2022 | Best Practices, Test Automation Insights

Everything you should know AI

What do you get when you combine artificial intelligence (AI) with robotic process automation (RPA)? 

The answer is automation intelligence — an IT trend that combines the benefits of artificial intelligence and rules-based automation (RBA) to create something new, engaging, and exceptionally beneficial. 

Automation intelligence can help businesses complete complex tasks more efficiently and accurately than with human eyes alone. 

As a result, it’s taking numerous industries by storm. From the healthcare sector to information technologies, learn how automation intelligence maximizes efficiencies, increases productivity, and improves customer relations. 

What Is Automation Intelligence?

At its core, automation intelligence is a more organic way of improving business process automation and business process management. It combines machine learning, or artificial intelligence, with software to reproduce repetitive tasks. The result is AI-driven automation capable of taking on complex tasks, learning from previous mistakes, and improving task completion over time. 

Automation intelligence is more effective in the workplace than human intelligence because it processes data more quickly, has almost zero computational errors, and learns from its mistakes without taking feedback personally. While automation intelligence is not the right solution for every workplace task, it can lead to a digital transformation when implemented. 

How Does Automation Intelligence Work?

Robotic process automation and business process automation have both been around for years. With robotic process automation, you don’t need a programmer to teach software robots how to complete repetitive tasks like entering addresses from onboarding documents into a spreadsheet. 

Automation intelligence takes this to the next level. Because it uses AI software, it can do more than just the most basic tasks in your office. Automation intelligence can do many things humans can do, like answer FAQs in a chat room or evaluate a database of information to make predictions. 

One of the ways automation intelligence differs from process automation is through the use of Natural Language Processing. This behavioral technology helps computers understand more colloquial human languages and process that human language in a productive way. As a result, AI-driven automation can interpret more complex, unstructured data sets, including images and videos. 

Components of Automation Intelligence

Self-executing automation intelligence works by combining different automation strategies with machine learning software. Consider the best aspects of robotic process automation, business process automation, and artificial intelligence. When you combine the benefits of all three, you have an idea of what automation intelligence entails. 

1. Robotic Process Automation

Robotic process automation uses software robots to complete repetitive tasks on the back end of a business. For example, your team might use robotic process automation to complete forms or checklists instead of hiring data entry personnel to do those tasks for you. 

Robotic process automation is also beneficial for improving software testing. Easy-to-use RPA tools can improve your software scalability, allowing you to take on increasing numbers of complex tasks while quickly and accurately finishing back-end tasks. 

2. Business Process Automation

Business process automation is automating the routines and processes that teams use daily. For example, an intelligent automation tool might use business process automation to automate workflows for teams and ensure all tasks in a business process get completed in order. 

Business process automation is automating multi-step tasks. Consider, for example, a bank looking to approve someone for a loan. A business process automation might include checking a credit score, examining reported income levels, and then cross-examining this data with the loan requirements to determine whether the individual can be approved. 

Business process automation is often more complicated than robotic process automation, but it still relies on a firm set of instructions to know what to do in a given situation. 

3. Artificial Intelligence

Artificial intelligence is the primary component that transforms a standard automation platform into an intelligent automation platform. Complex algorithms in automation intelligence platforms help machines understand and analyze complex data sets. Instead of relying solely on tasks and workflows, the addition of artificial intelligence allows for the inclusion of situational context. 

By analyzing the language people use through the lens of artificial intelligence, automation intelligence can evaluate the importance of questions, set priorities, and even learn how to combine data to answer questions customers don’t think to ask. 

Key Benefits of Automation Intelligence

An automation design that combines automation with intelligence has many values in the workplace. With automation intelligence, you can deliver higher quality products faster, increase productivity and return on investment, and improve customer experiences.

1. Deliver Higher Quality Products Faster

By automating repetitive tasks, you can complete work faster and more accurately than relying on humans to complete these tasks manually. Automation intelligence programs can also run tests and perform quality assurance tasks quickly and more accurately than the human eye. 

By pairing programming with automation intelligence software, you can guarantee your team produces higher-quality products without taking longer. 

2. Increase Productivity and ROI

When you use intelligent process automation, you augment your workforce, allowing you to hire fewer entry-level workers and put those budget dollars toward hiring workplace professionals that provide a higher return on investment. You also eliminate the need for your professionals to get bogged down with menial tasks, meaning they can give their full attention to more complex problems that a computer can’t complete. 

3. Improve Customer Experience

Artificial intelligence and automation can improve the customer experience. For example, you can use automation intelligence to answer customer questions in self-service chat rooms. As a result, your customers receive answers to the majority of their questions automatically, whether day or night. 

Automation intelligence also improves customer experience by providing an improved product for customers. With more checks and balances, there are fewer opportunities for errors to fall through the cracks. 

Finally, by eliminating the need to hire entry-level workers to do data entry and other repetitive tasks, you can dedicate a budget to hiring and training strong frontline workers to provide a better customer experience. 

Application of Automation Intelligence

It’s one thing to understand automation intelligence theoretically and another to grasp how to apply business intelligence automation to a specific industry. Here are four industries experiencing a digital transformation due to the application of automation intelligence. 

1. Healthcare

The healthcare industry uses automation intelligence to triage patients, compare reported symptoms to symptoms in a database, and reach a diagnosis faster. Although automation tools can’t replace healthcare practitioners, they can be a valuable tool for evaluating patients before an appointment, preparing medical professionals to meet the needs of their patients, and ensuring rare conditions don’t get misdiagnosed or missed entirely. 

The healthcare industry can also use automation intelligence to predict future behavior and set patients up to engage in preventative healthcare rather than only employing healthcare when already sick. By gathering data and examining patient history, automation intelligence software can analyze the risk of future illnesses and help practitioners recommend lifestyle changes that will best benefit their patients. 

2. Insurance

The insurance industry can use automation intelligence to enter customer data, process claims, and evaluate coverage needs. Gone are the days of manual rate calculations, replaced by software robots that understand the ins and outs of insurance policies and can establish a foundation for coverage with minimal input from human personnel. 

3. Banking

The banking industry can use automation intelligence to run credit checks, determine loan eligibility, and even send customers payment reminders. As automation intelligence makes its way into the banking industry, banks can offer more robust self-service options to their customers — which is especially helpful since three-quarters of Americans prefer to do their banking digitally rather than in person. 

Banks can also use automation intelligence to automate customer service. Online chatbots can walk customers through common banking questions, including what to do about lost or stolen cards, how to open or close bank accounts, and where to locate the account and routing numbers. 

4. IT Consulting

One of the specific ways IT consulting teams can use intelligent automation software is to run security tests and check for weak points in your team’s IT security. Ranorex DesignWise can optimize this benefit by helping to eliminate gaps in your testing coverage. 

IT consulting teams can also use automation intelligence to flag suspicious emails for further evaluation or to further secure the office by updating password requirements. 

Have Questions About Automation Intelligence?

If you’re curious about automation intelligence or are considering taking this knowledge to the next level, we can help. 

Sometimes, the best way to understand new software is to experience its benefits. That’s why we offer a free trial of Ranorex Studios. Integrate this intelligent software into your workflow and experience a drastic change in your team’s productivity and accuracy. 

Related Posts:

Secure Your Code, Harden Your App, Automate Its Testing

Secure Your Code, Harden Your App, Automate Its Testing

With DevOps practices more popular than ever in software engineering, there has been a push to integrate security, optimization, and frequent testing into the development process. However, as the baseline for what's considered good software evolves, so does the need...

A Guide to Test Driven Development (TDD)

A Guide to Test Driven Development (TDD)

For developers who work on many agile projects, test-driven development (TDD) may be something you wish to incorporate into your software development life cycle (SDLC). It’s a way to implement software programming while integrating unit testing, programming, and...