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Business Automation

RPA Enhanced with AI

Traditional RPA follows rigid rules to automate repetitive tasks. When you add AI, these bots can handle exceptions, make decisions, and process unstructured data - turning simple automation into intelligent automation.

What is it?

RPA enhanced with AI (sometimes called Intelligent Automation or Hyperautomation) combines the speed and reliability of robotic process automation with the decision-making capability of artificial intelligence. Standard RPA bots excel at structured, rule-based tasks like copying data between systems. AI-enhanced RPA adds the ability to read documents, understand natural language, make judgment calls, and handle exceptions that would normally require human intervention.

How does it work?

The RPA component handles the mechanical work: logging into systems, navigating interfaces, clicking buttons, and transferring data. The AI layer sits on top, providing intelligence for the steps that require understanding. When the bot encounters an unstructured invoice, AI reads it. When it finds an exception, AI decides how to handle it. When data is ambiguous, AI classifies it. The two technologies work together seamlessly in a single automated workflow.

Business value

Standard RPA typically automates 30-40% of a business process because it cannot handle exceptions or unstructured data. Adding AI pushes that to 70-90%, dramatically reducing the need for human intervention. This means faster processing, fewer errors, and the ability to automate processes that were previously considered too complex. ROI typically arrives within 3-6 months.

Real-world example

An accounting firm used basic RPA to enter invoice data but still needed staff to handle 40% of invoices with non-standard formats. Adding AI document understanding to the RPA workflow reduced the exception rate to 8%. The firm now processes 3x more invoices with the same team size.

Related solution

Our custom automation solutions combine RPA with AI for end-to-end process automation.

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