Top 15 RPA Automation FAQ's answered by C9

19 Jun, 2024 |

In today's fast-paced business environment, automation has become a necessity for organizations seeking to streamline operations, increase efficiency, and gain a competitive edge. Robotic Process Automation (RPA) has emerged as a game-changing technology that empowers businesses to automate repetitive, rule-based tasks, freeing up valuable time and resources for more strategic initiatives. As an Australian business owner or executive, you may have questions about RPA automation and how it can benefit your organisation. In this comprehensive blog, we'll address the top 15 frequently asked questions about RPA automation, providing you with expert insights from C9, Australia's leading custom software, apps, integration, and database developer.

What is RPA based automation?

Robotic Process Automation (RPA) is a technology that enables the automation of various business processes by mimicking human interactions with digital systems and software applications. It involves the use of software robots, also known as "bots," which are programmed to perform specific tasks and execute workflows across multiple applications and systems. These bots can interact with user interfaces, interpret data, and manipulate applications just like a human would, but with greater speed, accuracy, and consistency.

What are Real-World examples of RPA automation?

RPA automation has numerous real-world applications across various industries. Here are a few examples:

1. Finance and Accounting: Automating invoicing processes, data entry, reconciliations, and report generation.
2. Human Resources: Automating employee onboarding, payroll processing, and attendance tracking.
3. Healthcare: Automating medical billing, claims processing, and patient data management.
4. Supply Chain and Logistics: Automating order processing, inventory management, and shipping notifications.
5. Customer Service: Automating customer inquiry handling, data entry, and response generation.

Is RPA a coding?

No, RPA is not a coding language in itself. However, it does involve some level of programming or scripting to configure and customise the software robots, also known as "bots." RPA tools typically provide a user-friendly interface with drag-and-drop features and pre-built components, allowing users to create automated workflows without extensive coding knowledge. Nevertheless, some advanced RPA implementations may require more complex programming or integration with other systems, which could involve coding skills.

Which is the best RPA tool?

There are several RPA tools available in the market, and the "best" tool depends on your specific business requirements, technical capabilities, and budget. Some of the leading RPA tools include:

1. UiPath
2. Automation Anywhere
3. Blue Prism
4. WorkFusion
5. Microsoft Power Automate

Each tool has its strengths and weaknesses, and the choice often comes down to factors such as ease of use, scalability, integration capabilities, and pricing models. It's essential to evaluate your organisation's needs and conduct thorough research or seek expert guidance to select the most suitable RPA tool.

What is the main goal of RPA?

The primary goal of RPA is to automate repetitive, rule-based tasks and processes that are typically performed manually by human workers. By automating these tasks, RPA aims to achieve the following objectives:

1. Increase efficiency and productivity by reducing the time and effort required for manual tasks.
2. Improve accuracy and consistency by eliminating human errors caused by fatigue or lack of attention.
3. Enable cost savings by reducing the need for manual labor and optimising resource utilisation.
4. Enhance compliance and risk management by ensuring adherence to standardised processes and regulations.
5. Facilitate scalability by allowing businesses to handle increased workloads without proportionally increasing staff.

Ultimately, the main goal of RPA is to streamline business operations, improve overall efficiency, and enable organisations to focus on more strategic and value-adding activities.

How does RPA actually work?

RPA works by simulating human interactions with digital systems and applications. Here's a general overview of how it works:

1. Process Mapping: The first step involves identifying and mapping the specific processes or tasks that need to be automated. This includes understanding the inputs, outputs, decision points, and actions involved.

2. Bot Development: Using an RPA tool, a software robot or "bot" is developed and programmed to perform the desired tasks. This involves capturing the steps and actions required to complete the process, such as logging into applications, extracting data, manipulating data, and triggering actions.

3. Integration and Deployment: The bot is then integrated with the relevant applications and systems it needs to interact with. This may involve configuring application programming interfaces (APIs) or other integration mechanisms.

4. Execution and Monitoring: Once deployed, the bot can execute the automated processes as scheduled or triggered by specific events. The bot interacts with the applications and systems just like a human would, using the user interface or APIs.

5. Exception Handling: RPA tools often include mechanisms for handling exceptions or errors that may occur during the automated process. These exceptions can be handled automatically or escalated to human intervention when necessary.

6. Analytics and Reporting: RPA tools typically provide analytics and reporting capabilities to monitor the performance of the automated processes, track metrics, and identify areas for optimisation.

Is RPA a form of AI?

No, RPA is not considered a form of artificial intelligence (AI) in the traditional sense. RPA is based on predefined rules and workflows, mimicking human actions and interactions with digital systems. It does not possess the ability to learn, reason, or make decisions autonomously like AI technologies such as machine learning and deep learning.

However, RPA and AI can be complementary technologies. RPA can be enhanced by incorporating AI capabilities, such as natural language processing (NLP), computer vision, and machine learning algorithms, to handle more complex and dynamic tasks. This integration of RPA and AI is sometimes referred to as "Intelligent Automation" or "Cognitive Automation."

What are the three types of RPA?

There are three main types of RPA based on their level of automation and complexity:

1. Unattended Automation: This type of RPA involves automating processes that run independently without human intervention. The bot executes the entire process from start to finish without requiring any manual input or monitoring.

2. Attended Automation: In attended automation, the bot works alongside a human worker, assisting with specific tasks or processes. The bot is triggered by the user and completes the assigned tasks while the user monitors or performs other activities.

3. Hybrid Automation: Hybrid automation combines elements of both unattended and attended automation. It involves automating certain parts of a process without human intervention, while also allowing for human intervention or decision-making at specific points when required.

The choice of RPA type depends on the specific business requirements, the complexity of the processes, and the level of human involvement needed.

Where is RPA used in real life?

RPA is used in a wide range of real-life applications across various industries. Some common use cases include:

1. Finance and Accounting: Invoice processing, account reconciliations, financial reporting, and data entry.
2. Human Resources: Employee onboarding, payroll processing, benefits administration, and data management.
3. Healthcare: Medical billing, claims processing, patient data management, and appointment scheduling.
4. Supply Chain and Logistics: Order processing, inventory management, shipping notifications, and tracking.
5. Customer Service: Customer inquiry handling, data entry, response generation, and order tracking.
6. Banking and Insurance: Account opening, claims processing, underwriting, and policy management.
7. Retail: Order fulfillment, inventory management, pricing updates, and customer data management.
8. Telecommunications: Billing, customer service, and network management.

RPA is also used in various back-office operations, data entry tasks, and administrative processes across numerous industries.

Where is RPA mostly used?

RPA is widely used in various industries, but it has found particularly strong adoption in certain sectors


Unlock the power of automation and propel your business forward with C9, Australia's leading custom software, apps, integration, and database developer. Our expert RPA solutions seamlessly integrate into your existing systems, streamlining processes and enhancing operational efficiency. Don't let manual, repetitive tasks hold you back any longer. Contact us today to schedule a consultation and discover how our RPA automation services can revolutionise your business operations. Embrace the future of intelligent automation and gain a competitive edge in your industry. Call (07) 3071 7442 or visit our website at to get started.