IBM RPA and IRPA AI Webinar

See how RPA and process mining can help your organization speed, scale and prioritize digital transformation.


 What is process mining?

Process mining is when businesses apply specialized data mining algorithms to processes, cases and events logged by enterprise applications to understand real work done by employees, locating hidden bottlenecks and pinpointing where automation will lead to the biggest process improvements.

 Learn more about process mining →

See IBM Process Mining reviews (PDF, 252 KB)→


How it’s used

What you get

Process mining features

Model and rule refinement

Detect business rules and logic. Add contextual data to what-if scenarios for automatic rules management.

Bots, resources allocations

Adjust resource allocations based on your desired automation level, projected ROI, and resource costs.

As-is/what-if comparisons

Compare the activity, performance and costs of your current process with what-if process scenarios.

Critical resource analysis

Identify process key users, relations between resources and roles, and ensure compliance.

Activity map

View all the resources and roles involved in each activity and perform drill-down analyses.

Conformance checking

Compare process performance with process model, find unexpected behavior and uncover root causes of deviations to standardize.

Multi-level process mining

Map out and analyze complex processes with multiple systems, tackling biased statistics and data duplication.


Create unlimited what-if scenarios and find risk-free automation decisions for maximum ROI before implementation.

Task mining

Discover, monitor and analyze employee desktop interactions. See patterns, improve productivity and get RPA recommendations.

Variants comparison

Compare two or more variants to highlight inefficiencies in time and money and identify improvement opportunities.

Automation foundation

Shared components

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Build once and reuse

A set of common AI and automation components power each IBM Cloud Pak® and provide security-rich integrations between them — so you can build once and then reuse across your business and IT operations. Key components include:

  • Process mining to identify trends, patterns and details of how a process unfolds
  • Task mining to find low-hanging RPA opportunities
  • Robotic process automation to automate repetitive tasks
  • Unified asset repository to store and share reusable automation artifacts
  • Single event hub to process event data in real time and feed machine learning

Work orchestration

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Personal, interactive AI

Give workers their own interactive AI — in tools they already use, like email, calendars and Slack® collaboration software — to help them perform routine and mission-critical tasks faster. Initiate work easily through chat and then a powerful AI engine goes to work combining prepackaged skills based on organizational knowledge and prior interactions.

Enterprise-grade containers

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Deploy anywhere

The automation foundation and IBM Cloud Paks are containerized software that run on Red Hat® OpenShift®, an enterprise-ready Kubernetes platform. Such containers are ready to deploy anywhere: hybrid cloud, multicloud and edge. Red Hat OpenShift offers one point of control to simplify orchestration across all of your environments.

IBM certifies and manages the container templates to automate the software lifecycle from configuration to monitoring, scaling, compliance and patching. Security hardening techniques reduce the chance of even common vulnerabilities.

Jumpstart your automation journey

End repetitive tasks and speed processes. Discover where automation works best for you. IBM Robotic Process Automation gets you there.

Key use cases

Business operations

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Mine common business operations processes, including account openings and offer approvals, in addition to industry-specific ones like loan applications, insurance underwriting and claims.

Human resources

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Clearly see where you can improve your recruitment pipeline and hiring and onboarding processes. Enhance employee performance tracking, training, compliance, relations and requests.

Finance and accounting

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Analyze maverick buying, on-time payments and invoice processing times to reduce deviations and reworks and identify excessive human resources to increase automation and save costs.

Software delivery

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Fully understand software build, testing and deployment processes and source-code access controls. Analyze and pinpoint efficiencies for migrations, software updates and patch delivery and management.

IT and security processes

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Get to the bottom of your help desk processes, discovering ticket routing from reception to resolution. Simulate future network operations and hybrid cloud management processes and understand security controls and server management.