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Robotic Process Automation Software with AI/Machine Learning (2026)

Last updated: April 2026

Why is AI/machine learning important for robotic process automation software users?

Based on GetApp's analysis of verified user reviews collected between July 2021 and August 2024.

AI/machine learning enhances robotic process automation by automating complex tasks, processing unstructured data, learning and improving over time, and providing intelligent recommendations. This increases efficiency and reduces costs. Of the 121 reviewers who rated AI/machine learning, 80% rated this feature as important or highly important.

Key features of robotic process automation software based on insights from 486 verified reviews

Business Process Automation: Reviewers appreciate the ability to streamline and automate repetitive tasks, allowing teams to focus on strategic activities. 93% of reviewers rated this feature as important or highly important.
Code-free Development: Users highlight the drag-and-drop features and visual design interface, enabling automation without programming skills. 92% of reviewers rated this feature as important or highly important.
Integration into Third Party Applications: Reviewers value the seamless connectivity with various applications and APIs, enhancing overall efficiency. 87% of reviewers rated this feature as important or highly important.
Process Builder: Users find the visual process builder intuitive, making it easy to design and debug automation workflows. 86% of reviewers rated this feature as important or highly important.
Optical Character Recognition: Reviewers note the high accuracy of OCR for extracting text from images and documents, enhancing data processing. 86% of reviewers rated this feature as important or highly important.
Reporting/Analytics: Users appreciate the insightful dashboards and reporting features for tracking automation performance and identifying areas for improvement. 85% of reviewers rated this feature as important or highly important.