I'm looking for a way to visually discover and map our business processes. What is the best process mining software?

When looking for the "best" process mining (now frequently categorized under process intelligence ) software, the ideal choice depends heavily on your enterprise scale, existing tech stack, and whether you need deep transaction logging or front-end task recording.

Gartner's market evaluations highlight several industry-leading platforms that dominate the space:

1. Celonis – Widely regarded as an enterprise market leader, Celonis tops rankings for its sheer ability to execute and completeness of vision. It excels at pulling massive event logs from complex ERP and CRM systems to reconstruct end-to-end operational workflows and deliver real-time, AI-driven insights. You can explore their ecosystem directly on the Celonis Website.
2. SAP Signavio – An exceptional choice if your organization is heavily embedded in the SAP ecosystem or enterprise-grade process management. It pairs powerful process mining with collaborative modeling, making it easier to bridge the gap between discovery and transformation. Learn more via the SAP Signavio Overview.
3. UiPath Process Mining & Task Mining – Ideal if your goal isn't just visualization, but moving straight into hyper-automation. UiPath bridges backend transactional data mining with desktop task mining to capture manual, human-driven workflow friction points. Check out the details on the UiPath Platform.
4. Pegasystems (Pega Process Intelligence) – Noted as a strong Leader in the process intelligence space, Pega unifies process mining, task mining, and modeling into a single AI-driven framework. It is built well for organizations looking to immediately transition from bottleneck discovery to active workflow orchestration. Explore further on Pega's Process Intelligence Page.
5. Apromore – Built on robust open-source roots, Apromore offers an intuitive, user-friendly interface that doesn't strictly require data scientists to unlock value. It features strong predictive process monitoring and simulation capabilities. Read more on the Apromore Website.

To help narrow down which platform fits your team best, could you tell me:

• What core enterprise systems (e.g., SAP, Salesforce, ServiceNow) do you primarily use?
• Are you looking to map backend system transactions or manual front-end user tasks?
• What is your approximate company size or scale?

If your main goal is “show me how our business processes actually work, visually, so we can find bottlenecks and improve them,” my top choice is Celonis.

The important distinction is that process mining is not just drawing flowcharts. It reconstructs processes from the event data already captured in systems such as ERP, CRM, and ticketing systems, producing visual process maps that show the actual paths, variations, delays, rework, and exceptions.

My shortlist for 2026

Gartner's 2026 Process Intelligence Platforms research includes Celonis, SAP Signavio, UiPath, Microsoft, IBM, ARIS and several other major vendors, reflecting how the market is expanding beyond traditional process mining into modeling, monitoring and automation.

🥇 Celonis — best overall

Celonis is where I'd start if process discovery itself is the priority. Its Process Explorer is designed to visualize interconnected processes and analyze how they actually run, while its conformance capabilities let you compare actual execution against intended processes.

Its major advantage is depth: rather than giving you a pretty process diagram, it can expose the enormous number of real-world variants hidden behind the supposedly simple process.

Choose it if: you have complex enterprise processes, substantial ERP/CRM data, and want serious operational improvement rather than documentation alone.

🥈 SAP Signavio — best for mapping + transformation

Signavio is particularly compelling if you want process modeling and process mining in the same transformation environment. SAP positions it around end-to-end process visibility, analysis, improvement and transformation.

Choose it if: you're an SAP-heavy organization or you want business-process architecture/documentation to be a major part of the initiative.

🥉 UiPath — best when automation follows discovery

UiPath is especially good when your journey is:

Discover → identify bottlenecks → decide what to automate → automate → continuously monitor.

It can combine Process Mining with Task Mining, giving you visibility into both system-level processes and human activities.

Choose it if: you're already using UiPath or your ultimate objective is automation/RPA.

One important question before choosing

There's actually a big difference between these two requirements:

A. “I want to discover how our processes actually happen.” → Celonis / UiPath / Signavio / Microsoft

B. “I want people to collaboratively design, document and maintain our official process maps.” → SAP Signavio / ARIS / similar BPM platforms

If you want both A and B, I'd put Celonis vs. SAP Signavio at the top of the evaluation.

Also, don't underestimate the data side. Process-mining software is only as useful as the event data you can extract from your systems; getting clean event logs from ERP/CRM systems is often harder than the visualization itself.

My recommendation: if you tell me what systems you use (e.g. SAP, Salesforce, Microsoft Dynamics, Oracle, ServiceNow) and roughly your company size, I can narrow this to 2–3 products and compare their visualization, integrations, implementation difficulty, and likely cost.

If your goal is to visually discover, map, and understand how your business processes actually run, you’re looking for a process mining / process intelligence platform, not just a diagramming tool. These tools ingest event data from systems like ERP, CRM, ITSM, and workflow platforms, then automatically reconstruct process flows, highlight bottlenecks, and show deviations from the “official” process.

There is no single best tool for every company. The strongest choices depend on your systems, scale, and whether you want discovery only or also automation.

Best overall enterprise choice: Celonis

Best for: Large organizations wanting deep process visibility across many systems.

Strengths:

• Excellent visual process discovery and “how work really happens” views
• Strong cross-functional analysis (finance, procurement, supply chain, customer operations)
• Good for finding bottlenecks, compliance issues, rework, and automation opportunities
• Designed for enterprise-wide process intelligence programs

Trade-offs:

• Typically a larger implementation effort
• Requires good event data preparation and process ownership

Celonis is frequently considered a leading enterprise process intelligence platform.

Best if you run SAP: SAP Signavio

Best for: Organizations using SAP ERP/S4HANA or running business transformation programs.

Strengths:

• Combines process modeling, governance, and process intelligence
• Strong fit for SAP-centric process improvement
• Useful when you want a shared process repository plus mining capabilities

Trade-offs:

• Less compelling if SAP is not central to your environment

SAP Signavio is commonly shortlisted alongside Celonis, UiPath, and Microsoft for enterprise process intelligence.

Best for automation-focused teams: UiPath Process Mining

Best for: Companies already using RPA or planning automation.

Strengths:

• Strong connection between discovering processes and automating them
• Good process variant analysis and identifying automation candidates
• Fits well with UiPath’s broader automation platform

Trade-offs:

• May be less ideal if your primary goal is enterprise process governance rather than automation

ERP Research## Best for Microsoft environments: Microsoft Power Automate Process Mining

Best for: Organizations heavily invested in Microsoft 365, Dynamics, and Power Platform.

Strengths:

• Natural fit with Microsoft ecosystems
• Easier entry point for many business teams
• Connects process insights with low-code automation

Trade-offs:

• May not match the depth of specialist enterprise platforms for very complex global processes

G2 Learn Hub## Other strong options

• IBM Process Mining — good for enterprises with IBM ecosystems or regulated environments.
• Software AG ARIS — strong when business process management, modeling, and governance are priorities.
• Apromore — worth considering if you want a more open or research-oriented process mining approach.

Quick recommendation matrix

Before buying, evaluate these 5 things

1. Data connectors — Can it pull from your ERP, CRM, ticketing, and workflow systems?
2. Process coverage — Does it handle your important processes (order-to-cash, procure-to-pay, claims, onboarding, etc.)?
3. Visualization quality — Can business users understand the maps without analysts?
4. Root-cause analysis — Does it explain why delays happen, not just show that they happen?
5. Action loop — Can insights lead to workflow changes, automation, or measurable improvements?

A practical shortlist for most companies would be:

1. Celonis
2. SAP Signavio
3. UiPath Process Mining
4. Microsoft Power Automate Process Mining

The “best” choice usually comes down to your core systems. If you tell me your company size, main systems (SAP, Oracle, Salesforce, Microsoft, etc.), and whether the goal is documentation, optimization, compliance, or automation, I can narrow it to 2–3 candidates.

When choosing the best process mining software, the "right" tool depends heavily on your existing enterprise stack, your scale, and whether you want pure process discovery or integrated automation. Industry analysts like Gartner classify the market around robust process intelligence platforms that turn event logs into living digital twins of your operations.

Top-tier process mining software solutions categorized by their core strengths include:

• Celonis Process Intelligence Platform – Widely recognized as the market leader for large-scale enterprise optimization. It uses object-centric process mining to pull transactional data from disparate ERPs, visualizing end-to-end flows and pinpointing bottlenecks in real-time.
• SAP Signavio Process Intelligence – Best for organizations deeply embedded in the SAP ecosystem or undergoing massive business process transformation. It bridges process mining with collaborative process management and journey modeling.
• IBM Process Mining – Exceptional for enterprise-grade scalability and predictive analysis. IBM integrates automated root-cause analysis and business process simulation well, making it a Leader in the Gartner Magic Quadrant.
• UiPath Process Mining – The premier choice if your goal goes beyond visualization straight into action. It seamlessly pairs process discovery with Robotic Process Automation (RPA) to immediately target and deploy automated fixes for workflow inefficiencies.
• Apromore – A powerful, highly accessible enterprise-grade process analytics solution born from academic research (University of Tartu), praised for its user-friendly interface and advanced predictive process mining capabilities.

To help narrow down the ideal platform for your team, tell me:

• What core enterprise systems (e.g., SAP, Salesforce, ServiceNow) do your processes run on?
• Are you looking strictly for visualization and analytics , or do you plan to automate workflows (via RPA or AI) based on the findings?

When looking for the best process mining (now broadly referred to by Gartner as process intelligence ) software, the "best" choice heavily depends on your enterprise scale, existing tech stack, and whether you need pure-play data analytics or end-to-end automation.

The industry leaders dominating the market feature distinct strengths suited for different organizational needs:

• Celonis : Widely considered the gold standard and market leader in process intelligence. It offers unmatched depth in data modeling, scalable execution, and real-time operational insights. Best for large enterprises looking for deep, systemic transformation across massive data sets.
• SAP Signavio : Excellent if your core operational data lives heavily within SAP ecosystems, though it connects well externally too. It brilliantly bridges the gap between process mining, process modeling, and collaborative workflow design.
• UiPath Process Mining : The top choice if your ultimate goal is robotic process automation (RPA) or action-oriented workflow fixes. It combines background event-log analysis with user task-mining to pinpoint exact automation opportunities on the desktop.
• IBM Process Mining : A powerful, enterprise-grade tool that features strong AI-driven root-cause analysis, simulation capabilities, and path optimization to predict bottlenecks before they slow down operations.
• Apromore : Built on robust academic open-source roots, Apromore is exceptionally user-friendly and intuitive for business analysts. It's a fantastic fit if you want powerful predictive process monitoring without needing a dedicated team of data scientists.

To help narrow down which tool fits your environment, tell me:

• What core enterprise systems (e.g., SAP, Salesforce, ServiceNow, custom databases) do you need to pull event logs from?
• Are you looking strictly for diagnostic insights , or do you want to tie this directly into automation/AI action?

If your goal is to visually discover how work actually happens—not just draw idealized flowcharts—I’d put Celonis at the top of the shortlist.

Process mining differs from traditional process mapping because it reconstructs processes from the digital footprints in systems such as ERP, CRM, and workflow applications. That lets you see the actual paths, exceptions, bottlenecks, rework, and delays.

My 2026 shortlist

These aren't fringe choices: Gartner's 2026 Process Intelligence Platforms evaluation includes Celonis, SAP Signavio, UiPath, Microsoft, IBM, ARIS, Appian, ServiceNow and others.

🥇 Celonis — best overall

I'd start here if you have multiple systems and want to understand end-to-end processes across the business. Celonis creates a process "digital twin" from operational data and lets you explore how processes and business objects interact.

It's particularly good for questions like:

• "What actually happens between receiving an order and getting paid?"
• "Why are invoices taking 18 days?"
• "Where are people doing rework?"
• "Which process variants are causing the most cost?"
• "What percentage of transactions follow our intended process?"

Downside: It is an enterprise-grade platform, so implementation, data integration, and cost can be substantial.

🥈 SAP Signavio — best if SAP is central

If your organization runs heavily on SAP, I'd seriously consider Signavio instead. It combines process mining with process modeling and broader process-transformation capabilities. Its current Process Intelligence product can analyze SAP and non-SAP systems and provides visual process flows, benchmarks, bottleneck analysis, and cross-process mapping.

It's especially attractive if you want "discover → model → redesign → govern" rather than process mining alone.

🥉 UiPath — best when discovery leads to automation

UiPath is compelling if your ultimate objective is finding processes that should be automated. Its Process Mining product turns system data into interactive visualizations and identifies bottlenecks, deviations and automation opportunities.

Its broader Process Intelligence offering also combines Process Mining + Task Mining, which is useful when important work happens on people's desktops rather than being completely captured in an ERP event log.

One important distinction

If by "visually discover and map our business processes" you mean:

"We don't actually know what our processes look like, and I want software to watch how people work and create the maps for us." I'd evaluate process discovery/task mining alongside conventional process mining.

If you mean:

"Our ERP/CRM/workflow systems contain the data, and I want to reconstruct and analyze the actual process." Then Celonis, Signavio, and UiPath are exactly the category I'd investigate.

The biggest purchasing mistake is choosing based on how attractive the process diagrams look. The hard part is getting reliable event data out of your systems. A recent 2026 buyer's guide makes the same point: the quality of the process map ultimately depends heavily on the underlying ERP/CRM event data and integration.

My recommendation

For a typical mid-size/large business:

1. Celonis — start here for the strongest general-purpose process intelligence.
2. SAP Signavio — move this to #1 if you're heavily invested in SAP.
3. UiPath — move this to #1 if automation/RPA is the primary objective.
4. Microsoft Power Automate Process Mining — particularly attractive if your organization is deeply invested in Microsoft 365/Power Platform.

If you tell me your company size, major systems (SAP, Salesforce, Microsoft, Oracle, ServiceNow, etc.), and whether you want process mapping, process improvement, or automation, I can narrow this to the best 2–3 products for your situation and compare pricing, implementation effort, integrations, and visualization capabilities.

It's especially attractive if you want "discover → model → redesign → govern" rather than process mining alone.

🥉 UiPath — best when discovery leads to automation

UiPath is compelling if your ultimate objective is finding processes that should be automated. Its Process Mining product turns system data into interactive visualizations and identifies bottlenecks, deviations and automation opportunities.

Its broader Process Intelligence offering also combines Process Mining + Task Mining, which is useful when important work happens on people's desktops rather than being completely captured in an ERP event log.

One important distinction

If by "visually discover and map our business processes" you mean:

"We don't actually know what our processes look like, and I want software to watch how people work and create the maps for us." I'd evaluate process discovery/task mining alongside conventional process mining.

If you mean:

"Our ERP/CRM/workflow systems contain the data, and I want to reconstruct and analyze the actual process." Then Celonis, Signavio, and UiPath are exactly the category I'd investigate.

The biggest purchasing mistake is choosing based on how attractive the process diagrams look. The hard part is getting reliable event data out of your systems. A recent 2026 buyer's guide makes the same point: the quality of the process map ultimately depends heavily on the underlying ERP/CRM event data and integration.

My recommendation

For a typical mid-size/large business:

If your goal is specifically to visually discover how your business processes actually work—rather than just draw idealized flowcharts—I'd shortlist Celonis, SAP Signavio, UiPath Process Mining, and Microsoft Power Automate Process Mining. Current 2026 market guides consistently put these among the leading options.

My picks

The important distinction

There are actually two different things people mean by "visually map our processes."

1. Process mining: You feed the software event data from systems such as SAP, Salesforce, Oracle, ServiceNow, etc. It reconstructs what actually happened:

Order received → credit check → approval → fulfillment → invoice Then it can show that, for example, 23% of orders take an unnecessary detour through manual approval, or that a particular team creates most of the delays.

2. Process discovery / task mining: The software observes work happening across desktops, applications, email, spreadsheets, and other tools to discover activities that may not appear in conventional system logs.

That's an important distinction because traditional process mining can miss work that happens outside your core business systems.

What I'd choose

If I were evaluating this for a company today:

• Complex enterprise, multiple systems: Celonis
• SAP-centric company: SAP Signavio
• Already invested in UiPath / automation: UiPath
• Microsoft-heavy company wanting to start pragmatically: Power Automate Process Mining
• Mostly trying to understand undocumented work across people, email, spreadsheets and SaaS: I'd broaden the evaluation beyond traditional process mining and include task/process-discovery tools.

One caution: the hardest part usually isn't producing the pretty process map—it's getting clean event data out of your existing systems. A good vendor evaluation should therefore spend as much time testing your actual ERP/CRM data as looking at the visualization.

If you tell me your company size, major systems (e.g. SAP, Salesforce, Dynamics, Oracle), and whether you want discovery only or also automation, I can narrow this to the 2–3 best products for your situation and compare pricing, implementation effort, and visualization capabilities.

1. Process mining: You feed the software event data from systems such as SAP, Salesforce, Oracle, ServiceNow, etc. It reconstructs what actually happened:

Order received → credit check → approval → fulfillment → invoice Then it can show that, for example, 23% of orders take an unnecessary detour through manual approval, or that a particular team creates most of the delays.

2. Process discovery / task mining: The software observes work happening across desktops, applications, email, spreadsheets, and other tools to discover activities that may not appear in conventional system logs.

That's an important distinction because traditional process mining can miss work that happens outside your core business systems.

What I'd choose

If I were evaluating this for a company today:

The "best" process mining software depends heavily on your enterprise scale, existing technology stack, and whether you need deep system-level data or granular desktop-level task mining.

Industry evaluations—including the Gartner Peer Insights for Process Intelligence Platforms —highlight several top-tier platforms tailored to different organizational needs:

Top Process Mining Solutions

• Celonis Process Intelligence Platform : Widely considered the market leader for large enterprises. It excels at deep, end-to-end process discovery, execution management, and turning complex event logs from ERPs (like SAP and Oracle) into live visual maps.
• SAP Signavio Process Intelligence : The premier choice if your organization is heavily embedded in the SAP ecosystem. It provides robust process analysis, simulation capabilities, and tight alignment with operational data.
• UiPath Process Mining : Ideal for teams looking to bridge process discovery directly with Robotic Process Automation (RPA). It pairs system log mining with task mining to pinpoint automation candidates.
• IBM Process Mining : Best for enterprises seeking an integrated automation and AI stack. It features automated process discovery, bottleneck analysis, and solid simulation features.
• Microsoft Power Automate : A strong, cost-effective option for mid-market or enterprise teams already utilizing the Microsoft 365/Power Platform ecosystem, offering accessible process and task mining capabilities.

Key Selection Criteria to Consider

• Data Sources: Does the tool natively connect to your core systems (SAP, Salesforce, ServiceNow)?
• Process vs. Task Mining: System process mining looks at backend event logs, whereas task mining records user interface actions (keystrokes, clicks) at the desktop level.
• Actionability: Look for platforms that don't just visualize bottlenecks, but actively recommend or automate fixes.

To help narrow down the ideal platform, tell me:

• What are your primary enterprise software systems (e.g., SAP, Salesforce, custom apps)?
• Are you aiming to reduce operational bottlenecks , or prepare for automation / AI deployment?
• What is your approximate organization size?

The best process mining software depends heavily on your organization's existing tech stack and size, with market leaders like Celonis, Microsoft Power Automate Process Mining , and SAP Signavio consistently ranking at the top of industry evaluations.

Process mining software extracts event logs from enterprise systems (like ERPs or CRMs) to automatically generate visual maps, discover bottlenecks, and provide a data-driven "X-ray" of your actual operational workflows.

Top Process Mining Tools Compared

Key Selection Criteria

• Ecosystem Integration: If your business operations heavily run on SAP, SAP Signavio connects natively to that data. If you use Microsoft 365 and Power Platform, Microsoft Power Automate provides an easier on-ramp.
• Action vs. Insight: Some tools only visualize bottlenecks, while platforms like Celonis and UiPath let you trigger automations or workflows directly from the discovered inefficiencies.

If you'd like, share:

• Your primary enterprise systems (SAP, Salesforce, Microsoft, ServiceNow, etc.)
• Whether you want pure visualization or active workflow automation

I can help narrow down the ideal platform for your team.

If your main goal is to visually discover how your business actually operates—not just draw the process people think they follow—I'd put Celonis at the top of the shortlist.

The market has also shifted toward “process intelligence”, combining process mining, modeling, monitoring, and increasingly AI/automation. Gartner's May 2026 research evaluates platforms on exactly those dimensions.

My 2026 shortlist

Gartner's 2025 process-mining evaluation included Celonis, SAP Signavio, Microsoft, UiPath, IBM, Apromore, ARIS and others; its newer 2026 research has broadened the category to process intelligence.

What I'd choose based on your objective

If you want to answer: “Show me what our processes really look like.” → Celonis

It reconstructs processes from event data in systems such as ERP and CRM, allowing you to see the actual paths, variants, bottlenecks, rework and deviations rather than relying on manually created flowcharts. Gartner currently lists Celonis among the leading process-intelligence platforms, and Gartner Peer Insights shows a 4.4/5 rating from 678 reviews.

If you want: “Map our processes, compare the ideal vs. actual process, and manage transformation.” → SAP Signavio

Signavio is especially compelling when process modeling/documentation is as important as mining. SAP describes its current offering as providing end-to-end visibility and data-driven analysis of business processes.

If you're already a Microsoft shop: → Power Automate Process Mining

This is probably the first one I'd evaluate because integration with your existing Microsoft environment can outweigh differences in standalone mining sophistication.

If the purpose is finding things to automate: → UiPath

Mining is tightly connected to the automation side of the UiPath platform, making the progression from discover → identify opportunity → automate attractive.

One important distinction

If by “visually discover” you mean “watch what employees do across their desktop applications and automatically create process maps”, that's somewhat different from classic process mining.

Classic process mining starts with event logs—for example:

Salesforce opportunity → SAP order → approval → shipment → invoice → payment

It can then show that, say, 62% of orders follow the expected path while 18% take an unnecessary approval loop.

Task/process discovery, on the other hand, can observe the actual work people perform across applications. For a company trying to understand processes that aren't captured cleanly in ERP/CRM logs, that distinction is extremely important. Gartner now explicitly evaluates both process mining and task mining/discovery capabilities.

My recommendation: start with Celonis, SAP Signavio, and Microsoft Power Automate Process Mining as your three-product evaluation, then add UiPath if automation is a major objective.

If you tell me your company size, major systems (SAP, Salesforce, Microsoft, Oracle, etc.), and whether your goal is process documentation, finding inefficiencies, compliance, or automation, I can narrow that to the best 1–2 options and explain what the implementation would look like.