Top Task Mining Tools in 2025

Compliance Chaos Control It with Skan

 

Enterprises need task mining solutions to gain visibility into workflows, optimize processes, and enhance operational efficiency.   

Task mining is distinct from its sister function process mining. Task mining captures user interactions at the desktop level to analyze individual tasks, while process mining uses event logs from enterprise systems to visualize human actions within a single system, not a complete process.  

Although some process intelligence platforms do both, not all are created equal. Global industry leaders in banking, insurance claims and healthcare payers want task mining tools to help with AI-driven automation to analyze how their employees interact with systems, identifying inefficiencies and opportunities for optimization. 

With the rise of agentic AI—the next generation of autonomous AI systems—choosing the right task mining platform has never been more critical. The right solution can mean the difference between lagging behind competitors or leading the way in operational excellence. Understanding the unique strengths and limitations of each tool is crucial for making an informed decision. 

In this article, we’ll explore the top task mining tools in the market, evaluating their strengths and weaknesses so you can evaluate the best solution to help your enterprise harness the power of Agentic AI.

The Best Task Mining Tool

1. Skan AI: Focusing on Optimizing People, Process and Technology

Why Skan AI Stands Out

Unlike traditional task mining solutions that only focus on automation opportunities, Skan AI was built to deliver exactly the kind of intelligence needed to enhance process teams and power the future of agentic AI. Skan AI helps companies create baseline measurements to understand their current operations to eliminate redundant or non-value-added actions. From there, Skan AI becomes your partner for future success by providing roadmaps to efficient process, optimizing workforce productivity and lasting changes that maximize ROI.

Skan AI offers:

The Most Complete Process Observation: This goes beyond capturing keystrokes and clicks—it builds a comprehensive understanding of human actions across any size team and any duration process.

Observations for Every Application: Skan AI can observe work activities across every application, including legacy mainframes, homegrown apps, Excel workbooks, and individual websites.

Non-intrusive with Zero Integration: Works across diverse enterprise environments, including VDI workstations.

Scalable & Secure Design: Designed for enterprise-grade deployment across thousands of operators, ensuring data security and compliance while delivering unparalleled insights.

Unmatched Focus on Data Quality: Ensures that the data captured is accurate, contextualized, and relevant—unlike many competitors that suffer from noisy or incomplete data collection.

2. Celonis

Celonis is primarily known for process mining. With a focus on enterprise process mining, Celonis provides analytics capabilities that identify inefficiencies within single business applications. Celonis does offer customs integrations with ERP and CRM systems, but only provides process insights within single applications at a time.

Pros:

  • Process mining capabilities
  • Strong ERP and CRM integration

Cons:

  • Primarily focused on process mining, not task mining
  • Steep learning curve and high setup requirements
  • Intrusive to users as the setup is manual
  • Requires manual configuration of process steps, no automated learning
  • Lack of focus on task mining roadmap

3. EdgeVerve

EdgeVerve, an Infosys subsidiary, delivers task mining as part of its AssistEdge platform. It focuses on robotic process automation (RPA) strategies by highlighting activities it believes are best for automation.

Pros:

  • RPA integration for automation enablement
  • AI-driven insights for process optimization

Cons:

  • Primarily focused on RPA, limiting broader process intelligence applications
  • Requires additional setup for non-RPA use cases

4. ServiceNow

ServiceNow is widely known for IT service management, but its task mining capabilities help organizations optimize workflows beyond IT. With strong automation capabilities and AI-powered insights, ServiceNow is an excellent choice for businesses already using its ecosystem.

Pros:

  • Seamless integration with existing ServiceNow platforms 
  • AI-powered insights for workflow optimization

Cons:

  • More limited task mining capabilities compared to standalone tools 
  • Primarily beneficial for ServiceNow users

5. Microsoft

Microsoft’s task mining functionality is embedded in Power Automate, providing organizations with an option for process automation within the Microsoft ecosystem. It integrates with Office 365 and other Microsoft products, making adoption easy for existing users.

Pros:

  • Focus on the Microsoft ecosystem 
  • Easy to enable for existing Microsoft customers

Cons:

  • Limited contextualization compared to competitors 
  • Less sophisticated task mining compared to specialized tools

6. UiPath

UiPath is a leader in RPA and offers task mining as a key component of its automation suite. It helps businesses identify automation opportunities by analyzing employee workflows and interactions.

Pros:

  • Task mining capabilities tailored for RPA
  • Automation recommendations

Cons:

  • Best suited for RPA use cases rather than broad process intelligence
  • Less flexible for enterprises seeking deeper business process analysis
  • Focused on selling more of their RPA solutions

7. Automation Anywhere

Automation Anywhere provides task mining within its Discovery Bot solution, aiming to accelerate automation initiatives as their primary focus.

Pros:

  • AI-driven process discovery
  • Strong automation capabilities

Cons:

  • Focused heavily on bot-driven automation 
  • May lack depth in non-automation use cases

8. IBM

IBM offers task mining as part of its broader AI automation suite. With Watson AI capabilities, IBM provides deep insights into business processes and operational inefficiencies.

Pros:

  • Powerful AI-driven analytics 
  • Enterprise-grade automation and process mining

Cons:

  • High implementation costs 
  • Complex setup and maintenance

9. StereoLogic

StereoLogic is a task mining tool with a focus on healthcare, compliance, and regulatory processes. It helps organizations monitor operational risks and ensure compliance with industry standards.

Pros:

  • Excellent for compliance and regulatory monitoring 
  • Strong healthcare industry applications

Cons:

  • Limited versatility outside compliance-heavy industries 
  • Less focus on broader process intelligence

The Competitive Edge: Data Quality Matters

One of the key differentiators of Skan AI is its rigorous focus on the completeness and quality of observation data. Many competitors rely on fragmented or surface-level data collection methods, often leading to incomplete or misleading insights. Skan AI, however, ensures that the data captured is rich, contextual, and actionable, allowing enterprises to make informed, high-value decisions. 

While other solutions may overwhelm businesses with raw data that lacks coherence, Skan AI’s AI-driven contextualization transforms data into intelligence, ensuring that insights lead to meaningful process improvements. This unparalleled commitment to data integrity makes Skan AI the most reliable and effective task mining solution on the market.

Final Thoughts: Making the Best Choice for Your Enterprise’s Future

Task mining is no longer just about capturing user interactions; it’s about intelligent, autonomous process enhancement. While other tools offer strong capabilities, they often lack the adaptability, scalability, and AI-driven intelligence needed to power the future of automation. Skan AI’s unique approach—integrating agentic AI for real-time, autonomous process improvement—makes it the premier choice for enterprises looking to gain a true competitive edge.

Beyond AI-driven automation, Skan AI’s dedication to data quality ensures that businesses can trust their insights, enabling precise and effective decision-making. Unlike competitors that struggle with fragmented data, Skan AI delivers high-fidelity, contextualized insights that drive real impact.

As businesses continue to evolve towards an AI-powered workforce, enterprises will require complete data to be able to model decision-making….and only Skan AI can provide that level of granularity.

Accelerate your agentic AI journey with the right kind of intelligence. Let’s talk.