Head-to-head · Task Mining Software
Automation Anywhere Process Discovery vs StereoLOGIC Process Mining
Automation Anywhere Process Discovery leads on 0 checks, StereoLOGIC Process Mining on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAutomation Anywhere Process Discovery · 9.4/10
- Most featuresAutomation Anywhere Process Discovery · 3 of 3
Automation Anywhere Process Discovery scores higher on our rubric for task mining software: 9.4 against 8.7 out of 10; our editors rank them #1 and #4.
Automation Anywhere Process Discovery is the better fit for large enterprises needing broad task discovery. StereoLOGIC Process Mining is the better fit for enterprises needing task and process intelligence.
- Automation Anywhere Process Discovery fits best
Large enterprises needing broad task discovery
- StereoLOGIC Process Mining fits best
Enterprises needing task and process intelligence
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Side by side
| Feature | Automation Anywhere Process Discovery 9.4/10 Visit ↗ | StereoLOGIC Process Mining 8.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 8.7 |
| Ranking | #1 in Task Mining Software | #4 in Task Mining Software |
| Best for | Large enterprises needing broad task discovery | Enterprises needing task and process intelligence |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | Not checked yet | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Desktop | Cloud, Desktop, Self-hosted |
| Platforms | Web, Windows | Web, Windows, Linux |
| Integrations | 11 integrations | 8 integrations |
| Features Automation Anywhere Process Discovery 3/3 · StereoLOGIC Process Mining 0/3 | ||
| Task clustering | ✓ (best) | Not checked yet |
| Automation opportunities | ✓ (best) | Not checked yet |
| Task-level maps | ✓ (best) | Not checked yet |
| Specs | ||
| Desktop platforms | Windows 10, Windows 11; Citrix VDI on Windows Server 2016 | Not checked yet |
| Capture method | Desktop_agent | Not checked yet |
| Data retention | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Automation Anywhere Process Discovery is task mining software for enterprise teams that need to understand how work moves across applications and systems. It captures user activity with a desktop Process Discovery Sensor, analyzes… Read the review → |
StereoLOGIC Process Mining is an enterprise platform for discovering, mapping, measuring, and improving business processes across applications and office tools. It is designed for transformation, process improvement, compliance, and RPA… Read the review → |
Strengths and trade-offs
Automation Anywhere Process Discovery — where it wins
- Captures workflows across Windows, web apps, mainframes, and VDI
- Maps variations, deviations, pathways, and common workflows
- Prioritizes automation opportunities with ROI analysis
Where it doesn't
- Pricing requires contacting sales
- Desktop capture requires a Process Discovery Sensor
- Desktop support centers on Windows and compatible Citrix VDI
StereoLOGIC Process Mining — where it wins
- Maps end-to-end processes without prepared database event logs
- Combines task mining with root-cause, conformance, and KPI analysis
- Supports hybrid deployment with PII obfuscation and real-time monitoring
Where it doesn't
- Pricing is contact-sales rather than published plan-based pricing
- ERP support is described without named ERP data connectors
- Its breadth may exceed the needs of teams seeking focused task mining
- Automation Anywhere Process Discovery9.4/10 · Pricing on request
Broad task discovery across desktop, web, mainframe, and VDI environments.
Request a demoFull verdict → - StereoLOGIC Process Mining8.7/10 · Pricing on request
A broad enterprise platform for discovering, measuring, and improving work across applications.
Visit StereoLOGICFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






