IBM Process Mining
by IBM · Process Mining
AI-driven prescriptive process mining that builds a process digital twin from ERP and CRM data.
Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.
- Works with
- IBM Business Automation Workflow (BAW)Any ERP or business systemAny system (custom)
- Deployment
- Cloud, On-premise
- Company size
- Mid-market, Enterprise
- Pricing
- Tiered subscription with published starting prices for SaaS and on-premises tiers; custom quotes above that
- Headquarters
- Armonk, New York, United States (IBM Corporation)
Overview
IBM Process Mining is a process intelligence platform that converts business-system data into what IBM calls a "process digital twin" -- a data-driven model of how workflows actually execute, as opposed to how they are designed. It ingests event-log and business-object data through file upload, database extraction, real-time streaming, or scheduled cloud-storage retrieval, then applies AI-driven (IBM's term is "prescriptive") analysis to surface bottlenecks, deviations and improvement opportunities across ERP, CRM and other core systems.
Beyond process discovery and conformance checking, the platform includes a conversational AI assistant (Process Advisor) for non-technical users, predictive what-if simulation, object-centric multi-process mining that links related business objects (orders, invoices, deliveries) across up to five interconnected processes, segregation-of-duties and compliance monitoring, and an Action Hub that can trigger corrective actions -- such as KPI alerts or overdue-invoice payment workflows -- when defined business logic is met. A separate but integrated companion module, IBM Task Mining, captures desktop-level user activity and is bundled into the same administration console and pricing tiers.
IBM sells IBM Process Mining as either an AWS-hosted SaaS subscription or a self-managed on-premises deployment on Red Hat OpenShift, with published starting prices for both and a 30-day free trial. IBM was named a Leader in the 2025 Gartner Magic Quadrant for Process Mining.
Screenshots & demo
Demo video from the vendor's YouTube channel.
Features & capabilities
AI-Powered Process Insights
Prescriptive analytics and conversational AI layered on top of standard process discovery.
- Prescriptive process mining with AI-generated improvement recommendations
- Process Advisor AI Assistant for natural-language process questions
- Optimizations prioritized by estimated ROI impact
- Predictive and what-if scenario simulation
- Root-cause analysis for bottlenecks and process deviations
Process Discovery & Modeling
Builds a process digital twin from event-log and object data, including cross-process views.
- Automated process discovery from uploaded event logs
- Object-centric multi-process mining linking related business objects (orders, deliveries, invoices) across up to 5 processes
- Simulated event-log generation from BPMN models when no real log data exists
- Table joins connecting event logs and object tables
- Reference-model comparison for conformance checking
Compliance & Governance
Monitors process execution against expected behavior and internal controls.
- Process deviation and violation detection
- Segregation-of-duties (SoD) analysis
- Fact-based compliance checking
- Process standardization tracking
Action & Automation
Turns mined insights into triggered actions and downstream automation.
- Action Hub for business-logic-triggered corrective actions (e.g., KPI alerts, overdue-invoice payment triggers)
- Automated RPA bot-generation scaffolding
- Hooks for low-code automation platforms
Data Ingestion & Connectivity
Source-agnostic data ingestion rather than certified per-ERP connectors.
- CSV/event-log file upload with a guided data-mapping wizard
- Real-time data streams via IBM Event Streams, Apache Kafka or IBM MQ
- Scheduled retrieval from AWS S3, Azure Blob Storage or IBM Cloud Object Storage
- Prebuilt process app connector for IBM Business Automation Workflow (BAW)
- IBM Process Mining REST API for programmatic project and data management
Task Mining (companion module)
Desktop-level activity capture sold and administered alongside Process Mining.
- IBM Task Mining agents deployed to capture user desktop activity
- Task-mining agent allotments bundled into Process Mining pricing tiers
- Unified home page and administration across Process Mining, Task Mining and org settings
Common use cases
- Procure-to-pay analysis to identify supply-chain bottlenecks and cut cycle time
- Order-to-cash and customer-journey optimization in retail, as documented at Max Mara
- Loan-processing and foreign-trade workflow optimization in banking, as documented at Credem and BBVA Argentina
- Insurance process-efficiency improvement, as documented at BoB-Cardif Life Insurance
- IT service management process streamlining
- Scoping an RPA automation strategy against mined, real process paths rather than assumed ones
- Digital-transformation initiatives that need before/after process evidence to manage risk and prioritize investment
Strengths & considerations
Strengths
- Prescriptive rather than purely descriptive: surfaces AI-generated recommendations ranked by ROI impact on top of standard process maps
- Object-centric multi-process mining that links interconnected processes through shared business objects, rather than a single flat case view
- Bundles a companion Task Mining module and an Action Hub for triggering corrective actions within the same suite
- Offered as both AWS-hosted SaaS and IBM-managed on-premises (Red Hat OpenShift) deployment, with published starting prices for both
- Named a Leader in the 2025 Gartner Magic Quadrant for Process Mining
ERP integrations
Python-based BAW Connector script extracts process/task instance data via the BAW API and loads it as a process app; the only named prebuilt system connector in IBM's documentation.
CSV/event-log file upload with a guided column-mapping wizard. IBM does not publish a certified connector for specific ERPs such as SAP, Oracle or NetSuite.
IBM Process Mining REST API for programmatic project, data-source and asset management.
Real-time ingestion via IBM Event Streams, Apache Kafka or IBM MQ; scheduled batch retrieval from AWS S3, Azure Blob Storage or IBM Cloud Object Storage.
Pricing
SaaS tier ('Platform', AWS-hosted) starts at $4,250/month annual with 20 GB storage, 3 business users and 1 analyst user; purchasable via IBM/partner sales or self-service on AWS Marketplace. On-premises tier (Red Hat OpenShift, IBM-managed) starts at $2,885/month with 3 projects, 20 million events, 3 business users, 1 analyst user and 2 task-mining agents. IBM's pricing page cites a 176% three-year ROI and 30-70% time reductions for specific processes. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- SaaS hosted on AWS, or self-managed on-premises via Red Hat OpenShift (IBM-managed)
About the vendor
- Headquarters
- Armonk, New York, United States (IBM Corporation)
- Employees
- ~264,300 (IBM Corporation, 2025)
- Ownership
- Public (NYSE: IBM)
- Notable customers
- BoB-Cardif Life Insurance, Credem, BBVA Argentina, Max Mara, Comparus GmbH
Alternatives to IBM Process Mining in Process Mining
IBM Process Mining — frequently asked questions
Is IBM Process Mining available as SaaS or on-premises?
Both. IBM offers a SaaS 'Platform' tier hosted on AWS, purchasable via IBM/partner sales or self-service on AWS Marketplace, and an on-premises tier that IBM manages on Red Hat OpenShift infrastructure.
What does IBM Process Mining cost?
Published starting prices are $4,250/month (annual) for the SaaS tier -- 20 GB storage, 3 business users, 1 analyst user -- or $2,885/month for the on-premises tier -- 3 projects, 20 million events, 3 business users, 1 analyst user and 2 task-mining agents. Both offer a 30-day free trial.
Does IBM Process Mining connect directly to SAP or other ERPs?
IBM's documentation does not publish a certified per-ERP connector. Data is ingested generically via CSV/event-log upload, database extraction, streaming (Kafka, IBM MQ, IBM Event Streams) or scheduled cloud-storage retrieval; the only named prebuilt system connector is for IBM Business Automation Workflow.
What does IBM mean by 'prescriptive' process mining?
IBM uses the term for AI-generated recommendations, prioritized by estimated ROI impact, layered on top of standard process discovery and conformance checking -- distinct from a purely descriptive process map.
Is there a companion task-mining product?
Yes. IBM Task Mining is a separate but integrated module for capturing desktop-level user activity, administered from the same home page; task-mining agent allotments are bundled into the Process Mining pricing tiers.
Evaluating Process Mining?
Tell us your ERP and requirements and we'll send an independent shortlist — including IBM Process Mining and the best-fit alternatives — with honest pros and cons.