Maximize Business Performance with AI-Powered Process Mining
Empower your business with end-to-end process visibility, data-driven insights, and AI-powered automation.
Overview of IBM Process Mining
IBM Process Mining 2.0 revolutionizes business process management by offering comprehensive insights into operations, inefficiencies, and improvement opportunities. By integrating AI-powered automation, businesses can optimize workflows, predict outcomes, and enhance efficiency at scale. Seamlessly connected to ERP, CRM, and other enterprise systems, IBM Process Mining enables organizations to gain real-time visibility across end-to-end processes, facilitating data-driven decision-making and digital transformation.
Why IBM Process Mining?
Gain full visibility across systems, uncover hidden inefficiencies, and optimize workflows.
Predict outcomes, simulate changes, and implement automation with WatsonX AI.
Connect ERP, CRM, and other enterprise systems to unify data-driven decision-making.
Ensure regulatory adherence with real-time tracking and risk mitigation tools.
Streamline business operations, eliminate redundancies, and improve resource allocation.
Accelerate business transformation with industry-specific process apps and automation.
What the Numbers say?
Features
Get actionable recommendations for workflow optimizations.
Map processes across departments for comprehensive insights.
Simulate process changes before implementation.
Leverage no-code process automation to trigger actions or generate RPA bot scaffolds automatically.
Deploy pre-built applications tailored for various industries.
Track KPIs and detect inefficiencies instantly.
Key Facts
AI-driven analytics for smarter, data-backed decisions.
Seamless integration with enterprise systems (ERP, CRM, BPM tools).
Automated compliance monitoring for risk management.
What The Users Say
“Super easy to see all processes in one place! The intuitive interface and AI insights are game-changers.”
Verified User, Information Technology Services
“IBM Process Mining transformed our operations by revealing inefficiencies and accelerating decision-making.”
Lisa H., Head of Information Technology, McKinsey & Company
FAQ's
IBM Process Mining provides visibility into real operational workflows by analyzing event logs from enterprise systems. It helps uncover inefficiencies, deviations, and bottlenecks across processes.
Process mining uses real-time system data to reconstruct actual workflows, whereas modeling is often based on assumptions or designed workflows. It ensures accuracy and uncovers hidden steps.
It integrates with ERP, CRM, BPM, and legacy systems, including SAP, Salesforce, Oracle, and IBM systems to extract event logs and build a comprehensive process map.
Organizations can detect delays, compliance violations, rework loops, and inefficiencies—allowing for data-driven decisions on process reengineering or automation.
By maintaining a timestamped, tamper-proof audit trail of all process steps, IBM Process Mining ensures compliance with internal policies and external regulations.
Yes. It can feed insights into IBM Cloud Pak for Business Automation and Robotic Process Automation (RPA) tools to automate high-friction processes.
AI models identify patterns, root causes, and optimization opportunities in large datasets, supporting prescriptive recommendations for process improvements.
Nexright delivers implementation planning, data integration support, use case prioritization, and optimization consulting to help clients unlock operational efficiency with IBM Process Mining.
