What Robotic Process Automation (RPA) Meaning, Applications & Example
The use of software robots to automate repetitive human tasks.
What is Robotic Process Automation (RPA)?
Robotic Process Automation (RPA) is a technology that uses software robots (bots) to automate repetitive and rule-based tasks that are typically performed by humans. These tasks can include data entry, processing transactions, or interacting with applications. RPA allows businesses to increase efficiency, reduce errors, and free up employees for more complex and creative work.
Types of Robotic Process Automation
- Attended RPA: The bots work alongside humans, assisting them in their tasks by automating specific parts of a process while the human still controls the overall process.
- Unattended RPA: Bots work independently without human intervention, automating entire processes from start to finish. These bots are typically triggered by predefined schedules or events.
- Hybrid RPA: Combines both attended and unattended RPA, allowing bots to handle parts of a process autonomously while involving human intervention when needed.
Applications of Robotic Process Automation
- Data Entry: RPA can automatically enter data into systems, reducing errors and speeding up the process, such as entering customer details into a CRM.
- Invoice Processing: Automates the extraction and entry of invoice data into accounting systems, reducing manual effort and increasing accuracy.
- Customer Service: RPA bots can handle repetitive customer inquiries like password resets or order tracking, allowing human agents to focus on more complex issues.
- HR Tasks: RPA can streamline HR processes such as employee onboarding, payroll processing, and benefits administration.
Example of Robotic Process Automation
In invoice processing, RPA can be used to automatically extract key data (like invoice number, date, and amount) from scanned documents or emails and input that data into an accounting system. This reduces the time spent on manual data entry and minimizes the chance of human error, allowing finance teams to focus on higher-value tasks like financial analysis.