IBM Process Mining vs Microsoft Power Automate Process Mining
process mining head-to-head for ERP teams: evidenced capabilities, published pricing, and which ERPs each actually integrates with.
| Starting price | Tiered subscription with published starting prices for SaaS and on-premises tiers; custom quotes above that | From $15/user/mo (published) |
| Deployment | Cloud, On-premise | Cloud |
| Company size | Mid-market, Enterprise | — |
| Stated ERP integrations | None listed | Microsoft Dynamics 365, SAP |
| Vendor | IBM | Microsoft |
Our take
Where IBM Process Mining leads
- Stronger evidenced coverage on 18 of the 27 capabilities where they differ (led by object-centric process mining (ocpm) and digital twin of the process).
Where Microsoft Power Automate Process Mining leads
- Stronger evidenced coverage on 9 of the 27 capabilities where they differ (led by process variant analysis and cycle-time & throughput measurement).
- Published pricing where the alternative quotes.
- Stated Microsoft Dynamics 365, SAP integration the alternative doesn't list.
Where they differ
The 27 capabilities (of 46 in the process mining taxonomy) where the evidence separates them, biggest gaps first. “Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
| Capability | ||
|---|---|---|
| Object-centric process mining (OCPM)Process Discovery & Mapping | Core strength Object-centric multi-process mining linking related objects across up to 5 processes | Not evidenced |
| Process variant analysisProcess Discovery & Mapping | Not evidenced | Core strength Process variant discovery and comparison; Variant DNA view |
| Digital twin of the processProcess Discovery & Mapping | Core strength Builds a process digital twin from ERP and CRM data | Not evidenced |
| Cross-process / multi-process linkingProcess Discovery & Mapping | Core strength Object-centric multi-process mining across up to 5 linked processes | Not evidenced |
| Segregation-of-duties analysisConformance & Compliance Monitoring | Core strength Segregation-of-duties (SoD) analysis | Not evidenced |
| Root cause analysisPerformance & Root-Cause Analysis | Core strength Root-cause analysis for bottlenecks and process deviations | Not evidenced |
| Cycle-time & throughput measurementPerformance & Root-Cause Analysis | Not evidenced | Core strength Median and average case duration KPIs |
| Rework & loop detectionPerformance & Root-Cause Analysis | Not evidenced | Core strength Self-loop, loop, and rework case percentage KPIs |
| What-if scenario simulationPrediction & Simulation | Core strength Predictive/what-if simulation; simulated event-log generation from BPMN models | Not evidenced |
| Prescriptive improvement recommendationsPrediction & Simulation | Core strength Prescriptive, AI-generated improvement recommendations prioritized by ROI | Not evidenced |
| Triggered remediation actionsProcess Automation & Action | Core strength Action Hub for business-logic-triggered corrective actions | Not evidenced |
| Natural-language queryingReporting, Dashboards & AI Insights | Core strength Process Advisor AI Assistant for natural-language process questions | Not evidenced |
| Real-time streaming ingestionData Platform & ERP Connectivity | Core strength Real-time streams via IBM Event Streams, Apache Kafka or IBM MQ | Not evidenced |
| Public API for custom integrationData Platform & ERP Connectivity | Core strength IBM Process Mining REST API for programmatic project and data management | Not evidenced |
| Predictive outcome forecastingPrediction & Simulation | Supported Predictive and what-if scenario simulation | Not evidenced |
| Task-level time allocationTask Mining & Desktop Analytics | Not evidenced | Supported Task-level analytics report |
| Automation-candidate identificationTask Mining & Desktop Analytics | Not evidenced | Supported Identification of manual, error-prone, or automatable steps |
| RPA bot generation / handoffProcess Automation & Action | Supported Automated RPA bot-generation scaffolding | Not evidenced |
| Low-code workflow automationProcess Automation & Action | Supported Hooks for low-code automation platforms | Not evidenced |
| AI agent orchestrationProcess Automation & Action | Supported Process Advisor AI Assistant for natural-language process questions | Not evidenced |
| Closed-loop integration with source systemsProcess Automation & Action | Supported Action Hub for business-logic-triggered corrective actions | Not evidenced |
| Configurable KPI dashboardsReporting, Dashboards & AI Insights | Not evidenced | Supported Variants-by-frequency and variants-by-time charts; KPI cards |
| Custom report builderReporting, Dashboards & AI Insights | Not evidenced | Supported Power BI workspace connection; Fabric workspace connection (preview) |
| Deviation & exception detectionConformance & Compliance Monitoring | Core strength Process deviation and violation detection | Supported Self-loop and loop detection |
| Desktop activity captureTask Mining & Desktop Analytics | Supported IBM Task Mining agents deployed to capture user desktop activity | Core strength Recorded-action capture on user desktops |
| Task-to-process linkageTask Mining & Desktop Analytics | Partial Unified admin across Process and Task Mining; explicit case-level linkage not documented | Not evidenced |
| Prebuilt ERP connectorsData Platform & ERP Connectivity | Not evidenced IBM's own docs state no certified connector is published for SAP, Oracle or NetSuite | Partial Native template for Dynamics 365 SCM only; SAP/Salesforce via generic Power Query, not a certified connector |
Both grade identically on the other 19 capabilities — see each product's full profile: IBM Process Mining, Microsoft Power Automate Process Mining.
IBM Process Mining vs Microsoft Power Automate Process Mining — FAQs
Is IBM Process Mining or Microsoft Power Automate Process Mining better for ERP integration?
They state different ERP coverage: IBM Process Mining lists no ERP integrations publicly; Microsoft Power Automate Process Mining lists Microsoft Dynamics 365, SAP.
Which is cheaper, IBM Process Mining or Microsoft Power Automate Process Mining?
Microsoft Power Automate Process Mining publishes a starting rate ($15/user/mo); IBM Process Mining prices by quote, so a like-for-like number requires asking both.
Get pricing for both
Tell us your ERP, seat count and must-haves and we'll come back with an independent view of what IBM Process Mining and Microsoft Power Automate Process Mining should each cost you — and whether a third option belongs on your shortlist.