UiPath Task Mining
UiPath Task Mining is a discovery tool within the UiPath automation ecosystem that captures user desktop activity (mouse clicks, keystrokes, screenshots) and applies AI/ML analytics to reveal opportunities for automation. It is designed to provide a bottom-up view of how work is performed at the task level, enabling organisations to identify repetitive, manual, high-volume tasks that are suitable for automation. By integrating with other elements of the UiPath platform (such as process mining and automation tools), Task Mining helps build a data-driven automation pipeline from discovery through to execution.
Key Features
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Desktop activity capture: records user actions, including clicks, keystrokes, and application usage to create trace data.
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AI-powered analysis: machine learning models analyse aggregated user-activity data to identify repeated task patterns and variation across users.
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Task variation merging and visualisation: supports merging of multiple user traces into a unified task graph for easier understanding of task flow and deviations.
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Privacy and governance controls: capturing only from approved applications/domains, with encryption and masking for privacy and regulatory compliance.
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Integration with automation lifecycle: exports skeleton workflows to UiPath Studio for automation implementation and links with discovery and monitoring pipelines.
Use Cases
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Identifying high-volume manual tasks in finance or back-office departments (for example, data entry) to target for automation.
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Supporting an automation Centre of Excellence (CoE) by providing objective, data-driven insights into where to prioritise automation efforts.
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Complementing process mining by drilling into the user desktop level when system logs lack visibility into end-user activity.
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Standardising how tasks are executed across teams by revealing variation and helping design optimal task flows for automation.
Pricing & Plans
UiPath does not publicly list standardised pricing for Task Mining as a separate product on its website. Pricing will typically depend on factors such as the number of users, scale of data capture, licensing model, deployment environment, and service level. For an accurate cost, you will need to contact UiPath sales for a tailored quote.
Integrations & Compatibility
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Works within the UiPath Automation Cloud environment and integrates with other UiPath products (Process Mining, Automation Hub, Studio).
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Compatible with Windows desktop environments (desktop recorder client runs on Windows; the web parts can run cross-platform).
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Supports Citrix/RDP environments (with caveats around screenshot quality and selector resolution) for organizations using virtual desktops.
Pros & Cons
| Pros | Cons |
|---|---|
| Offers fine-grained visibility into user tasks to uncover automation potential | Requires desktop-level data capture, which may raise privacy or change-management issues |
| AI-driven analysis speeds up the identification of repetitive tasks and prioritisation | Organisations must ensure readiness in data governance, change management, and desktop instrumentation |
| Good integration with the broader automation lifecycle (discovery to automation) | Smaller organisations with limited scale may find setup or licensing complexity higher than simpler tools |
| Supports merging of multiple user traces into comprehensive task graphs for deeper insight | Effective use may depend on capturing sufficient user-activity data over time to reveal patterns |
Final Verdict
UiPath Task Mining is a robust tool for organisations wanting to go beyond high-level process discovery and gain a clear understanding of task-level activity across desktops. If your automation initiative is scaling, you have many users and tasks that might be ripe for automation, and you want objective, data-driven prioritisation, then Task Mining is a strong choice. For smaller teams, simpler processes, or organisations just beginning automation, you might consider starting with lighter discovery tools or direct process mining before investing in task-level mining.