What is RPA? Robotic Process Automation Applications

No more filling out forms, entering data, creating sales orders, or handling payroll tasks…

Many studies show that a big portion of a white-collar employee’s day is spent doing repetitive work.

To deal with this, many companies are turning to Robotic Process Automation (RPA).

Since 2017, RPA has seen a steady rise in popularity. 📈

RPA bots learn these tasks from employees and then take over the work—faster, with fewer errors, and available 24/7.

And to be clear, no physical robots are involved. 🙂‍↕️

What’s behind this shift? The goal is to free up time for more meaningful work, reduce costs, and increase job satisfaction.

This article gives you a closer look at how RPA works, what it can do, and why it matters.

What is Robotic Process Automation (RPA)?

RPA stands for Robotic Process Automation. Since 2017, it has become a key technology in business transformation.

RPA is a method that uses software bots to perform repetitive tasks that people normally do.

According to Gartner, “RPA is a productivity tool that allows a user to configure scripts to automate specific tasks.”

These bots act like humans: they understand what’s on the screen, click buttons, extract data, and move through systems. But unlike humans, they don’t need breaks and can perform these tasks faster and more accurately.

If you have a task that always follows the same steps, chances are you can set up a bot to do it for you.

These bots work at the software level. They mimic user actions by interacting with interfaces and repeating the same clicks and actions a person would.

How Does RPA Work?

RPA bots observe and record human actions, then repeat them as programmed.

They perform tasks like clicking buttons, copying and pasting data, and moving files.

They work with any graphical user interface (GUI), whether it's a modern app or an older system.

Here's a simple summary of how it works:

1. The bot captures the steps needed to perform a task, like logging into an app or collecting data.
2. It uses conditional logic to process this data.
3. It interacts with other systems to complete the task, such as updating a CRM or generating reports.

Key Components of RPA Architecture

• Programming language: Bots can be built using either code or low-code tools.
• Orchestration modules: A control center where users can schedule, monitor, and manage bots.
• Bots: Software agents that follow rule-based commands.
• Integration capabilities: Bots can use APIs or interact directly with platforms like ERPs, browsers, and legacy systems.

Key Features of RPA

Bot Abilities

• Rule-based execution: Bots follow clear logic and can notify a human when something doesn’t match.
• Cognitive abilities: Bots are not intelligent on their own but can be enhanced with OCR, NLP, and other smart technologies.

System Capabilities

• Integrations: Bots can connect with third-party apps and databases.
• Security: Bots must be secure and compliant with company policies.
• Deployment: Bots can be installed locally or in the cloud.

Types of RPA

Based on Development Approach

• Code-based RPA: Offers customization but requires programming knowledge.
• Low-code / No-code RPA: Easier to use with drag-and-drop interfaces, but less flexible.

Based on Intelligence

• Basic bots: Follow strict rules.
• Cognitive bots: Use AI to handle more complex tasks.

Based on Supervision

• Unattended bots: Work independently.
• Attended bots: Require user interaction to start.

RPA Use Cases

RPA can:

• Open and interact with multiple applications
• Access emails and attachments
• Move files and folders
• Connect to APIs and databases
• Pull data from websites and process documents
• Follow logical rules like if/then
• Annotate text, make calculations, and prepare reports

Industries and Examples

• Customer Support: An e-commerce company used a chatbot to answer FAQs and redirect customers, freeing up agents for complex cases.
• Finance: Bots extract data from invoices, enter it into ERP systems, and trigger payment approvals.
• Manufacturing: Bots monitor inventory in old systems and automatically create purchase orders when levels are low.
• Billing: A SaaS company used RPA to send payment reminders and lock unpaid accounts.

Benefits of RPA

• Bots work non-stop, no breaks needed.
• They are fast, accurate, and consistent.
• They reduce manual error risks.

What Does This Mean for Companies?

• Better results: Improved speed and accuracy increase process quality.
• Focus on higher-value work: Employees can focus on tasks that need human insight.
• Lower costs: Deloitte reports up to 52% productivity gains with RPA.
• High ROI: Average return on investment can reach 250–380%.
• Fewer errors: Bots reduce mistakes and improve compliance.
• Faster service: Like how Piraeus Bank cut loan processing time from 35 to 5 minutes.
• Improved customer experience: Bots give consistent and timely responses.
• Higher engagement: RPA improves how customer concerns are handled.
• Data accuracy: A bank saved $1M per year by reducing data entry errors.

Leading RPA Tools

There are over 50 vendors in the RPA market. The top ones include:

• UiPath
• Automation Anywhere
• Blue Prism
• IBM

When choosing a tool, consider:

• Ease of setup
• Low-code capabilities
• Attended vs. unattended bots
• Machine learning options
• Integration support
• Management and monitoring features
• Cloud deployment
• Process mining
• Scalability

RPA and AI: What’s the Difference?

They’re not the same. RPA follows strict rules. AI simulates human thinking.

AI solves problems by learning and adapting. RPA performs tasks by following predefined steps.

They work best together. For example: AI reads and categorizes emails using NLP and OCR. Then RPA enters this data into systems and updates records.

RPA Limitations

• Bots follow rigid rules and need updates if systems or interfaces change.
• Maintenance can be costly and time-consuming.
• Managing many bots can get complex.
• Compatibility and security issues may arise as systems age.

This is why many companies are combining RPA with AI for smarter automation.

Career in RPA

If this topic interests you, check out our article on “What Does an RPA Developer Do?”

RPA has grown fast over the past decade. As AI and automation evolve, RPA jobs will keep expanding.

Bootcamps and training programs are increasing, making it easier to start a career in this field.

You can also join our free meetups to learn more and ask questions.