Task mining has evolved from a process improvement add-on into a critical enabler for AI transformation. By capturing and analyzing how employees actually work—clicks, keystrokes, system navigation—task mining surfaces inefficiencies, identifies automation opportunities, and now plays a pivotal role in mapping, evaluating, and grounding enterprise AI use cases.
As companies shift from pilots to scaled AI adoption, task mining provides the foundation to ensure agents are not only intelligent but also contextually aligned with real business operations. Here are the top 10 task mining tools leading the way in 2025.
ClearWork is redefining task mining for the AI era. Beyond mapping tasks and processes, ClearWork ties user-level activity directly to AI use case planning and orchestration. By grounding agents in two key data layers—process data (steps users take to complete tasks) and business data (organization-specific context)—ClearWork ensures AI workflows are trusted, accurate, and relevant. Its browser-based approach makes it easy to capture activity, analyze inefficiencies, and directly feed insights into future-state design and AI deployment.
UiPath remains a leader in connecting discovery with automation. Task mining integrates directly with UiPath Studio, helping enterprises accelerate automation pipelines while also supporting broader process optimization initiatives.
Celonis leverages its process intelligence roots to bring deep system-level and task-level insights together. This “digital twin of operations” helps organizations see not just what tasks happen but how they connect to enterprise workflows.
Skan focuses on frictionless task mining with continuous monitoring. Its non-intrusive data capture provides leaders with a real-time pulse of how work is executed, making it well-suited for continuous improvement and AI readiness.
Microsoft has woven task mining into its Power Platform ecosystem. For enterprises already invested in Microsoft 365, this provides a natural extension into low-code automation and AI copilots, with task insights feeding directly into workflow creation.
Automation Anywhere combines task mining with its robust RPA capabilities. Its platform links captured tasks to automation templates and bots, accelerating the move from discovery to execution.
Appian integrates task mining into its low-code automation suite, enabling enterprises to connect insights from user activity directly to redesigned workflows, case management, and AI-powered process orchestration.
Blue Prism extends beyond bots with task mining and AI-assisted prioritization. Its platform helps enterprises surface repetitive work, streamline compliance, and feed automation initiatives.
Bizagi brings strong process modeling to the task mining space. By layering user-captured activity into BPM workflows, it provides business leaders with a seamless bridge from insight to design.
ARIS leverages its long BPM history with a task mining module that validates process maps against real user data. This ensures documentation reflects how work is truly executed, improving accuracy for transformation programs.
In 2025, task mining is no longer optional. It has become the starting point for AI adoption, ensuring organizations don’t just deploy agents but ground them in the reality of day-to-day work. The top tools are converging process discovery, BPM, and automation into unified platforms—but the differentiator will be how well they help enterprises identify, evaluate, and deploy AI use cases at scale. Without a true understanding of how your business operates today, how are you supposed to improve it?
Task mining has evolved from a process improvement tool into a foundational capability for AI transformation. By capturing real user activity—clicks, keystrokes, and navigation—it provides ground-truth process data. This ensures AI use cases are based on reality, not assumptions, helping enterprises design, deploy, and scale agents with confidence.
ClearWork goes beyond capturing tasks. It grounds AI agents in two critical data layers: process data (the exact steps users take) and business data (organization-specific rules, policies, and context). Its lightweight, browser-based approach delivers fast visibility, automatic process mapping, and direct integration into AI orchestration—helping leaders move from discovery to deployment in days, not months.
In addition to ClearWork, notable platforms include:
Task mining captures human-level work, while process discovery and BPM tools model workflows at a higher level. Together, they bridge “how tasks are really done” with “how processes should be designed.” This integrated view allows organizations to validate assumptions, identify automation opportunities, and create AI-ready workflows grounded in evidence.
In 2025, task mining is no longer optional—it’s the starting point for AI transformation. The organizations that succeed will use task mining to uncover inefficiencies, ground AI agents in operational reality, and continuously align automation with business value. Without visibility into how work is actually performed, it’s impossible to design AI systems that deliver sustainable impact.
Successful AI deployments often isn't challenged by the technology - it's challenged by your internal processes, business complexity, and even identification of the right use cases for AI. With ClearWork task mining & process discovery you can build your AI deployment strategy on a foundation of fact.
Enjoy our newsletter!
