Robotic Process Automation (RPA) is a technology that uses software robots or “bots” to automate repetitive and rule-based tasks within business processes. RPA robots are designed to mimic human interactions with digital systems and applications, such as performing data entry, data extraction, form filling, and other routine tasks.
Key characteristics and concepts related to RPA include:
- Software Robots: RPA robots are software applications or scripts that can interact with user interfaces, data, and applications just like a human user. They are designed to follow predefined rules and workflows.
- Rule-Based Automation: RPA is well-suited for tasks that have clear and repetitive rules. These rules are defined by humans and programmed into the RPA bots, allowing them to execute tasks accurately and consistently.
- User Interface Interaction: RPA bots interact with the graphical user interfaces (GUIs) of applications. They can mimic mouse clicks, keystrokes, and screen scraping to extract or input data.
- Automation of Back-End Processes: RPA is often used to automate back-office tasks and processes in areas such as finance, human resources, customer service, and supply chain management.
- Integration Capabilities: RPA bots can integrate with various software systems and applications, including legacy systems, web applications, databases, and more. This enables them to transfer data between systems and perform end-to-end processes.
- Scalability: RPA solutions can be scaled up or down to handle increasing workloads or additional processes. New bots can be added as needed.
- Non-Invasive Technology: RPA doesn’t require significant changes to existing IT infrastructure. It can work with the systems and applications that organizations already use.
- Error Reduction: RPA reduces the risk of human errors in repetitive tasks, leading to increased accuracy and data quality.
- Cost and Time Savings: By automating manual tasks, RPA can significantly reduce operational costs and free up employees to focus on more strategic and value-added activities.
- Analytics and Reporting: RPA systems often provide detailed logs and reporting, allowing organizations to monitor bot performance, track processes, and identify areas for optimization.
- Security and Compliance: Security measures can be implemented to ensure that RPA bots adhere to security protocols and compliance requirements.
Industries and functions that commonly adopt RPA include finance and accounting (e.g., invoice processing), human resources (e.g., employee onboarding), customer service (e.g., chatbots), and supply chain management (e.g., order processing).
RPA is continually evolving and is sometimes combined with artificial intelligence (AI) and machine learning (ML) capabilities to handle more complex tasks and decision-making processes. This combination is often referred to as intelligent automation.
Key terms in plain language
Open a term for a concise explanation of language used on this page.
Artificial Intelligence (AI)
Software designed to perform tasks involving prediction, classification, generation, reasoning, or decision support. Business use still requires clear data, governance, security, and human accountability.
Cybersecurity
The practices and controls used to protect identities, devices, networks, applications, and data from unauthorized access, disruption, or manipulation.
Zero Trust
A security model that does not automatically trust a user or device because of its location. Access is continuously verified and limited to what is necessary.
SASE
Secure Access Service Edge combines networking and security capabilities in a cloud-delivered architecture so users and locations can receive consistent policy wherever they connect.
Identity and Access Management (IAM)
The systems and policies that determine who a user is, what resources they may access, and how that access is authenticated and reviewed.
Multi-Factor Authentication (MFA)
A login control requiring more than one form of verification, such as a password plus an authenticator app, security key, or biometric factor.