Arahi AI

Q: What is the difference between RPA and AI?

RPA automates structured, rule-based tasks by mimicking human actions on digital systems. AI adds intelligence to make decisions, understand unstructured data, and handle exceptions. The most powerful automation combines both technologies.

Q: Is RPA being replaced by AI agents?

AI agents are expanding what automation can do beyond RPA capabilities. However, RPA remains valuable for legacy system automation. Many organizations use both approaches together for comprehensive automation.

Q: How much does RPA cost?

Traditional RPA platforms can be expensive with licensing, development, and maintenance costs. Modern AI-powered alternatives like Arahi AI offer more capable automation at lower total cost with simpler implementation.

Q: What processes are best suited for RPA?

RPA excels at high-volume, rule-based tasks that involve structured data and consistent processes, such as data entry, form processing, report generation, and system-to-system data transfer.

AI Concept

What is Robotic Process Automation (RPA)?

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

Definition

Robotic Process Automation (RPA) is a technology that uses software robots to mimic human interactions with digital systems. RPA bots can log into applications, navigate interfaces, extract data, fill in forms, and complete transactions just as a human user would, but faster and without errors.

Detailed Explanation

RPA emerged as a solution for automating tasks in legacy systems that lack modern APIs. Instead of requiring expensive system integrations, RPA bots interact with applications through their existing user interfaces, making it possible to automate processes without modifying the underlying software.

Traditional RPA is rule-based, meaning bots follow pre-programmed scripts with specific instructions for each step. This works well for highly structured, repetitive tasks but struggles with exceptions and variations. Modern intelligent automation platforms combine RPA with AI to handle unstructured data and make judgment calls.

While RPA delivered significant value for organizations with legacy systems, the technology is evolving. AI-powered automation platforms like Arahi AI go beyond UI-level automation to provide native integrations, intelligent decision-making, and end-to-end process orchestration that RPA alone cannot achieve.

How Arahi AI Makes This Work for You

Arahi AI takes automation beyond traditional RPA by combining intelligent process automation with native API integrations. Instead of mimicking mouse clicks and keystrokes, Arahi AI agents connect directly to your applications through secure APIs, enabling faster, more reliable automation. For scenarios that do require UI-level interaction, Arahi AI can integrate with RPA tools to provide a unified automation platform.

Key Benefits

Why robotic process automation (rpa) matters for your business.

Legacy System Automation

Automate processes in older systems that lack modern APIs, extending the value of existing technology investments.

High Accuracy

Software robots execute tasks with 100% consistency, eliminating data entry errors and processing mistakes.

Fast ROI

RPA implementations typically pay for themselves within 6-12 months through labor savings and error reduction.

Audit Trail

Every action taken by an RPA bot is logged, providing complete transparency and compliance documentation.

Real-World Examples

How businesses use robotic process automation (rpa) in practice.

Data Migration

RPA bots extract data from legacy systems, transform it to match new system requirements, and load it into modern platforms without manual copy-paste.