Arahi AI

Q: Is RPA the same as AI?

No. Traditional RPA follows predefined rules and scripts without any intelligence or learning capability. AI adds reasoning, understanding, and adaptation. Modern platforms combine both for more powerful automation.

Q: What are the limitations of RPA?

Traditional RPA struggles with unstructured data, cannot make judgment calls, and breaks when application interfaces change. These limitations are addressed by combining RPA with AI in intelligent automation platforms.

Q: How much can RPA save my business?

ROI varies by use case, but organizations typically see 25-50% cost reduction in automated processes. RPA bots operate 24/7 and are significantly faster than human workers for repetitive tasks.

Q: Should I use RPA or AI-powered automation?

If your processes are highly structured and your systems lack APIs, RPA may be appropriate. For most modern automation needs, AI-powered platforms like Arahi AI provide more capable, reliable, and maintainable automation.

AI Concept

What is Robotic Process Automation?

Learn what robotic process automation is, how it works, key benefits, real-world examples, and how it relates to modern AI automation platforms.

Definition

Robotic Process Automation (RPA) uses software robots, or "bots," to automate repetitive, rule-based tasks that humans typically perform on computers. RPA bots interact with digital systems through their user interfaces, mimicking actions like clicking buttons, typing text, copying data, and navigating between applications.

Detailed Explanation

RPA was developed to address a common problem: many business tasks involve repetitive manual work on computers that is tedious, error-prone, and time-consuming but does not justify the cost of building custom software integrations. RPA provides a faster, cheaper alternative by automating at the UI level.

There are two main types of RPA: attended bots that work alongside humans on their desktops, assisting with tasks as needed, and unattended bots that run independently on servers, processing work without any human involvement. Many organizations use both types for different scenarios.

While RPA delivered transformative value for many organizations, the technology has limitations. Traditional RPA bots are brittle, breaking when applications change their interfaces. They cannot handle unstructured data or make decisions. This has led to the evolution toward intelligent automation platforms that combine RPA with AI for more robust, capable automation.

How Arahi AI Makes This Work for You

Arahi AI goes beyond traditional RPA by providing intelligent automation that connects directly to applications through APIs rather than mimicking user interfaces. This approach is more reliable, faster, and easier to maintain. For legacy systems where API access is not available, Arahi AI can integrate with existing RPA tools to provide a unified automation experience that combines the best of both approaches.

Key Benefits

Why robotic process automation matters for your business.

No System Changes Required

Automate processes without modifying existing applications or building API integrations. RPA works with systems as they are.

Rapid Deployment

Configure bots to automate specific tasks in days or weeks, much faster than traditional software development projects.

Error Elimination

Bots execute tasks exactly the same way every time, eliminating the data entry errors and processing mistakes common in manual work.

Employee Satisfaction

Free employees from mundane, repetitive tasks so they can focus on more engaging, higher-value work.

Real-World Examples

How businesses use robotic process automation in practice.

Data Entry Automation

RPA bots extract data from emails and documents and enter it into business systems, eliminating hours of manual data entry per day.

Report Generation

Bots log into multiple systems, extract data, compile it into standardized reports, and distribute them to stakeholders on schedule.

Invoice Processing

RPA bots read incoming invoices, extract key fields, validate against purchase orders, and enter data into the accounting system for payment processing.