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Business leaders often have excellent plans for how work should get done. But the way work actually gets done can be a different story.
Process mining helps organizations discover how workflows truly run, uncovering hidden bottlenecks, inefficiencies, and redundancies. And every one of these process flaws presents an opportunity for improvement.
Today's process mining software streamlines the workflow monitoring process and generates AI-powered insights on how to improve—making sure those best laid plans fulfill their intentions.
Here, discover how 10 of the best process mining tools help teams make data-backed decisions on improvements and potential future automations, transforming businesses into their most efficient, productive versions yet.
The 10 best process mining tools in 2026
1. Scribe Optimize
Scribe Optimize leverages Workflow AI to perform task mining, workflow mining, and process mining, surfacing inefficiencies and recommending insights teams can use to make data-based decisions on process improvements or automations.
Key features
- Workflow visibility
- Bottleneck detection
- Step-by-step time analysis
- Process variation insights
- Recommendations for optimization or automation
- Works with workflow captures, not just system logs
Pros
- Easy-to-use
- Leverages AI to suggest process improvements and potential automations
- Helps teams prioritize which processes to improve
Cons
- Requires a paid enterprise plan
Best for
Operations, IT, and Center of Excellence (CoE) teams that need workflow clarity before starting a project or deciding which processes to automate
2. Celonis
Celonis is a process intelligence platform that creates digital twins of business processes across ERPs, CRMs, and other tools, pinpointing inefficiencies and optimizing operations through automations.
Key features
- Real-time process mining
- Identifies workflow deviations and performs root-cause analysis
- Automatically detects bottlenecks
Pros
- Real-time feedback
- Enterprise scale
- Organizes extensive analytics into dashboards
Cons
- May be too expensive and high-powered for small operations
- Setup takes time and technical resources
- Is best for rigid processes (like manufacturing)
Best for
Large enterprises that use SAP or Oracle or have complex, sprawling workflows
3. UiPath Process Mining
UiPath Process Mining analyzes data from CRMs and ERPs to map actual workflows, identifying deviations and potential automation opportunities.
Key features
- Process mining that links to robotic process automation (RPA) tools
- A data transformation layer that cleans up confusing event log data into legible formats
- Dashboards that show data on cycle time and compliance
Pros
- AI-driven root-cause analysis for dysfunctional workflows
- Helps turn insights into automation
- Iterative discovery and execution loops
Cons
- Less flexible at organizations not already using UiPath
- Requires external support
- Not as powerful as Celonis or Scribe Optimize for deep enterprise processes
Best for
Robotic process automation, especially at companies that are scaling or already use UiPath
4. SAP Signavio
SAP Signavio is a business transformation tool that works well in SAP environments, identifying and analyzing processes to make them more efficient.
Key features
- Performs process modeling and root-cause analysis
- Maps customer journeys
- Collaboration features that support cross-functional organizations
Pros
- Strong option for SAP-based organizations
- Ideal for SAP S/4HANA transformations
Cons
- Less functional in non-SAP environments
- Can get expensive
- Works best with rigid workflows
Best for
SAP-based organizations transforming their ERP or other digital products
5. Software AG ARIS Process Mining
Software AG ARIS Process Mining is an ARIS-based tool that analyzes event logs, monitoring and optimizing workflows.
Key features
- Business process modeling and notation (BPMN)
- Event log analysis
- Governance management
- Conformance checking
Pros
- Great governance tools
- Longstanding product with a good track record
Cons
- There's a learning curve
- The user interface can feel clunky
Best for
Optimizing enterprise-level business systems
6. IBM Process Mining
IBM Process Mining analyzes event logs to surface inefficiencies, simulate improvements, and recommend automations.
Key features
- Automatic process mining
- AI-driven insights on process improvements
- Integrates with IBM Cloud Pak for Business Automation
Pros
- Works well at organizations already using IBM automation products
- AI-powered improvement recommendations
- Scalable
Cons
- Integrations at companies not using IBM can be difficult and require additional infrastructure
- Less user-friendly than other options
Best for
Enterprises with an IBM-based environment
7. Skan
Skan is an AI-backed process intelligence tool that provides real-time data on how end-to-end workflows actually happen.
Key features
- Runs both process and task mining
- Uses computer vision (visual interpretation of the real world) to capture activity
- Pinpoints automation opportunities
- Performs compliance and deviation analysis
Pros
- Combines two types of mining for richer data
- Captures human interactions with computer vision
Cons
- Implementation is complicated
- Requires complex privacy management
Best for
Enterprises with lots of human interactions that need data on more than just event logs
8. Apromore
Apromore is an AI-driven process intelligence platform that uses both process mining and task mining to provide a robust picture of how work happens.
Key features
- Process discovery
- Conformance monitoring
- AI-powered insights
Pros
- Open-source (with a strong support community around it)
- Developed predictive analytics
- Affordable
Cons
- Setup implies a learning curve
- The user interface is less friendly than other options
Best for
Organizations with a limited budget that want comprehensive mining functionality
9. Microsoft Process Advisor (Power Automate)
Power Automate is a Microsoft Process Advisor feature that uses both process and task mining to identify inefficiencies and automation opportunities.
Key features
- Event log, task, and process mining
- Automation recommendations
- Integrates with Power Automate
Pros
- Low-code and accessible
- Uses data to drive automation opportunities
- Affordable
Cons
- More limited than the competition
- Less functional in enterprise-level implementations
Best for
Small and medium-sized businesses using Microsoft 365 and Power Platform
10. Minit (Microsoft)
Minit is a Microsoft-acquired process mining tool that monitors and optimizes business processes, using AI to analyze event logs.
Key features
- Pinpoints bottlenecks and inefficiencies
- Conformance monitoring
- Simulates digital twins and process variants
Pros
- Excellent visualizations
- Works well at the enterprise level
Cons
- Not a standalone tool
Best for
Organizations using Power Automate
How to choose the right process mining tool
There is a wealth of top-tier process mining tools on the market, and this is good news. It means there is software for all types of organizations and needs. Consider the following points to determine which is the right fit for yours.
- Complexity of processes: Enterprises with sprawling, complex processes need powerful tools that can analyze massive amounts of data in an organized way. But smaller businesses are likely to prefer lighter, less complicated tools.
- System landscape (SAP, Oracle, Microsoft, etc.): Some tools only integrate (or best integrate) with certain environments, like Microsoft or SAP. If your company is not already running on these platforms, integrating a process mining tool associated with them will imply a system overhaul, and in turn, may not be the best idea.
- Team skill level: Certain products require coding and even external support to integrate and manage, and can be unwieldy options for organizations that don't have dedicated IT teams or the funds to outsource this work.
- Need for automations: If your teams only need to document processes and visualize dashboard analytics on current workflows, then a simplistic process modeling tool will work out well. But if you hope to transform this data into automations, look for a tool that suggests and/or executes this type of improvement.
How Scribe Optimize goes beyond process mining
Traditional process mining tools analyze system event logs, which can help track activity in ERPs, CRMs, and other enterprise platforms. But process mining alone doesn't paint a complete picture of how work happens at an organization.
Enter: Scribe Optimize. This tool performs comprehensive task, process, and workflow mining, spotting inefficiencies, redundancies, and bottlenecks. Scribe Optimize then leverages the power of AI to suggest process improvements and potential automations, protecting your organization's resources and preventing rework.
FAQs
How do I know if my company is ready for process mining?
Your company can benefit from process mining if it has many digital workflows and is scaling up or looking for ways to become more efficient.
How long does it usually take to set up a process mining project?
The answer depends on the complexity of the project and the tools. Process mining tools that imply a learning curve or extensive programming will take longer to set up. And at businesses with many complex workflows, it can take months (sometimes, over a year) to gather rich data.
What’s the difference between using process mining for discovery versus continuous improvement?
In discovery, process mapping helps organizations visualize how work actually gets done, providing transparency. But in continuous improvement, process mining iteratively monitors workflows and tracks the success of new implementations, constantly seeking areas of opportunity.
What should I do if different tools show different versions of the same workflow?
This is a sign that your organization doesn't have a consistent single source of truth, and you'll have to determine the most accurate information source before performing further analysis.
