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RPA AI

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Overview

An AI-driven platform that enhances Robotic Process Automation (RPA) by integrating artificial intelligence to automate complex, cognitive tasks.

RPA AI is an advanced platform that combines Robotic Process Automation (RPA) with artificial intelligence (AI) to automate not only repetitive, rule-based tasks but also complex processes requiring cognitive capabilities. By leveraging AI technologies such as machine learning and natural language processing, RPA.ai enables organizations to handle unstructured data, make informed decisions, and adapt to changing workflows, thereby enhancing operational efficiency and scalability.

Product overview

Capabilities, pricing and fit

RPA AI is best understood as a workflow automation platform. AI + RPA: Transformative on their own. More powerful together. | UiPath.

Information as of July 30, 2026

What it can do

  • Workflow automation

    AI + RPA: Transformative on their own. More powerful together. | UiPath.[1]

Where it fits best

  • Automating complex business processes that involve unstructured data.[1]
Sources (1)
  1. AI + RPA: Transformative on their own. More powerful together. | UiPathOfficial site · checked 2026-07-30

Autonomy level

54/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: RPA AI operates at a mid-level autonomy due to its hybrid nature of combining rule-based automation (RPA) with AI-driven decision-making. While it automates repetitive tasks and handles basic decision-making through machine learning (e.g., invoice processing or data extraction), it still requires human oversight for exceptions, complex scenarios, a...

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Some of the use cases of RPA AI:

  • Automating complex business processes that involve unstructured data.
  • Enhancing decision-making capabilities in automated workflows.
  • Improving efficiency in tasks such as customer service, data analysis, and document processing.
  • Scaling automation efforts across various departments within an organization.
  • Reducing manual intervention in processes requiring cognitive skills.

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Popularity level: 82%

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Exploring RPA AI? For in-house enterprise AI implementation teams, your own AI agent can prioritise departmental pilots, resolve rollout dependencies, and measure operational adoption. Start with a setup tailored to this work.

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