Process mining · IBM

IBM Process Mining

Process mining platform that builds a digital twin of operations from ERP and CRM event logs, with AI-driven recommendations and task mining.

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IBM Process Mining extracts event data from ERP, CRM and other core systems to construct a real-time "digital twin of an organization," comparing how processes actually run against the intended design to surface inefficiencies, compliance violations and automation candidates. It builds on technology from myInvenio, which IBM acquired in 2021, and now includes natural-language AI assistants for querying process data, predictive simulation to test changes before deployment, and task-mining agents that capture desktop-level work. It ships as a SaaS offering hosted on AWS or as a fully managed on-premises deployment on Red Hat OpenShift, giving buyers a choice IBM publishes starting prices for, unlike most vendors in this category. This pairs IBM's process mining with its wider watsonx AI and automation portfolio, distinguishing it from point-solution miners.

At a glance

Vendor IBM
Pricing model Quote only
Free tier No
Deployment Cloud, Self-hosted
Open source No
Best for Organizations already invested in IBM/watsonx that want process mining with published starting prices and a choice of SaaS or managed on-premises deployment.

Pricing

Published starting prices: SaaS from $4,250/month (annual, 20 GB storage, 3 business + 1 analyst user) or on-premises from $2,885/month (3 projects, 20M events, 3 business + 1 analyst user, 2 task-mining agents); larger scopes are quoted.

Plan Price Notes
Platform (SaaS) From USD 4,250/month, billed annually 20 GB storage, 3 business users, 1 analyst user; hosted on AWS
Platform (On Premises) From USD 2,885/month, billed annually 3 projects, 20 million events, 3 business users, 1 analyst user, 2 task-mining agents; deployed on Red Hat OpenShift, managed by IBM

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Automated process discovery and digital twin of the organization
  • Predictive simulation of process changes before deployment
  • Natural-language AI assistant for process queries
  • Task mining agents for desktop-level activity capture
  • Compliance and conformance violation detection with root-cause analysis
  • SaaS (AWS) or on-premises (Red Hat OpenShift) deployment with published starting prices

Integrations

Profile last reviewed September 21, 2026

Alternatives

Celonis Process mining and execution management platform that rebuilds real process flows from system event logs to find and fix inefficiencies. UiPath Process Mining Process mining module in the UiPath Platform that mines event logs from SAP, Oracle and Salesforce to find and prioritize automation opportunities. SAP Signavio Process Intelligence Process mining component of the SAP Signavio suite that mines event logs from SAP and other systems to compare real execution against modeled processes. Apromore Process intelligence platform with an open-source core that mines event logs from SAP, Salesforce and other systems to discover, simulate and monitor processes.

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Terms to know

Process mining Reconstructing how a business process actually runs from system event logs rather than from how it is documented. Anomaly detection Identifying data points or patterns that deviate significantly from expected or normal behavior. KPI (key performance indicator) A measurable value tracked over time to show whether a team or process is on track toward a goal. Machine learning Building models that learn patterns from data to make predictions or decisions, rather than following hand-coded rules. AI copilot An AI tool embedded in a work application that assists a human with suggestions or drafts, rather than working unsupervised. Digital twin A live virtual model of a physical asset or process, kept synchronized with real sensor data, used to simulate and predict behavior.

Related guides

How to choose a process mining tool Process mining tools differ in whether they act on findings or just report them, and in whether they're native to a platform you already run.