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Process Intelligence Platform

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Process Intelligence Platform

What's Included

All Architecture Features, Plus Intelligence & Optimization

At this stage, organizations use data and AI to understand, predict, and continuously improve performance. These capabilities help you get there: Process Mining shows actual behavior, Process Simulation lets you test changes, and Dashboards & KPIs track KPIs in real time.

See what's really happening

Discover how your processes actually run using data from your existing systems.

  • Multiple advanced mining engines detect parallelism, loops, and hidden patterns.
  • Automatically discover processes from event logs.
  • Connect to any data source: ERP, CRM, databases, CSV, Excel.
  • AI-powered data structure detection, field mapping, and data-quality checks with mapping confidence.
  • Overlay multiple datasets in color and re-mine in one click when data changes.
Explore Process Mining
Documentation
Automatic process discovery
Automatic process discovery

AI-assisted optimization

Use AI to identify opportunities and recommend improvements.

  • AI-generated operational insights and optimization recommendations.
  • Built-in AI assistant for analysis, modeling, and documentation tasks.
  • Out-of-the-box insights backed by 200+ data templates.
  • Detect anomalies and identify automation opportunities.
  • Data expression language for custom calculated attributes.
Explore AI Capabilities
Documentation
AI-powered insights
AI-powered insights

Compare reality with your design

Compare designed processes with how work actually happens.

  • Conformance checking identifies deviations and compliance gaps.
  • Bottleneck & variant analysis reveals inefficiencies.
  • Process animation replays operations over time.
  • Identify rework, deviations, and throughput issues.
Go to Conformance in Process Mining
Documentation
Auditor Use Case
Comparing reality with process design
Comparing reality with process design
Process variation comparison
Process variation comparison

Test before you deploy

Use industry-standard simulation to explore future operational scenarios.

  • Resource & capacity modeling for staffing and workload.
  • AI-generated simulation settings from mining data.
  • Date ranges and warm-up periods for stable scenario comparisons.
  • Compare simulation results with actual results to validate improvements.
  • Explore what-if scenarios without putting operations at risk.
Explore Process Simulation
Documentation
Compare simulation with reality
Compare simulation with reality
Simulation elements and settings
Simulation elements and settings

Track what matters

Track operational KPIs and monitor process performance.

  • Track throughput, cycle times, SLA breaches, workload, and rework.
  • Custom KPIs & charts tailored to your organization.
  • Drill down from any chart to the individual cases behind it.
  • Use advanced filters to focus your analysis on the segments that matter.
  • Duplicate a custom dashboard you built, and export as PNG.
  • Sustainability metrics for carbon impact and environmental KPIs.
  • Monitor performance in real time to support continuous improvement.
Explore Dashboards & KPIs
Documentation
Operational dashboards
Operational dashboards
Process efficiency dashboard
Process efficiency dashboard
Efficiency improvement recommendations
Efficiency improvement recommendations
Rework flow dashboard
Rework flow dashboard
Process smoothness dashboard
Process smoothness dashboard

Connect your systems

Connect ProcessMind to your enterprise systems.

  • REST and Data API on every plan, metered, for programmatic access to your processes and data.
  • Data ingestion API for automated event data import, from Process Intelligence up.
  • Simulation API for triggering scenarios programmatically.
  • Guidance and data templates for SAP, Salesforce, ServiceNow, and more.
Explore system support
Documentation
REST APIs and integrations
REST APIs and integrations

For Leaders: Build the Business Case

Turn process insights into decisions you can take to executives.

  • Quantify efficiency, cost, and cycle-time impact using evidence from real process data.
  • Use simulation to compare options before committing budget.
  • Share clear outcomes with stakeholders and decision-makers.
  • Estimate potential returns with the ROI calculator and align investment with expected value.
Use the Process Mining ROI Calculator
See Pricing
Executive business case insights
Executive business case insights
Executive process signals
Executive process signals
Prioritized improvement opportunities
Prioritized improvement opportunities
Design better processes. Build a connected architecture. Stay in control.
Start now

Drive continuous excellence

Move beyond static documentation to data-driven process management. Use Process Mining to see how work flows and where bottlenecks occur. Simulate changes before implementation to assess outcomes and reduce risk. Use AI to surface insights and recommendations that help you address operational issues early.
MATURITY LEVEL 1

Process Foundation

Model and document your processes to give teams clarity and a shared understanding.

Business Analyst Creates and maintains process documentation and BPMN models.
Process Owner Defines how work should be performed and ensures process standardization.
Explore Process Foundation
MATURITY LEVEL 2

Process Architecture

Define and manage your process landscape to align operations with strategy and compliance.

Process Architect Designs the enterprise process landscape, governance structure, and ownership model.
Transformation Manager Aligns processes with strategy, compliance requirements, and business change initiatives.
Explore Process Architecture
MATURITY LEVEL 3

Process Intelligence

Use data and AI to understand performance, anticipate outcomes, and improve continuously.

Operational Excellence Manager Uses data to identify bottlenecks, monitor KPIs, and drive continuous improvement.
Process Mining Analyst Analyzes actual process execution, discovers inefficiencies, and validates improvements.
Explore Process Intelligence

Mine. Design. Simulate. Compare. Implement.

The Intelligence Loop

Connect data, insight, and action in a continuous loop to make better process decisions and guide transformation with confidence.

Step 1

Mine

Use historical data to understand current performance and event data to discover how your process actually runs.

Process Intelligence

The Intelligence Gap

Operations Without Visibility

You can't see what's really happening in your processes. Decisions rely on assumptions while the facts remain hidden.

Process Mining reveals how work actually happens, using data from your existing systems.

Hidden Bottlenecks

Performance issues can go unnoticed until they cause problems. By then, it may be too late to prevent the impact.

Dashboards help you spot bottlenecks before they affect customers.

Risky Changes

You make process changes without knowing what will happen. Failures can be costly.

Simulation lets you test changes before committing resources.

Too Much Data

You have data everywhere, but few useful insights. Reports don't answer the questions that matter.

AI-powered analysis turns data into specific recommendations you can act on.

Slow Improvement

Improvement cycles take months. By the time you make a change, requirements may have shifted.

Continuous monitoring helps you iterate quickly and get feedback sooner.

The Cost

Organizations without Process Intelligence waste 25% of operational capacity on preventable inefficiencies.

Improve targeted processes and measure ROI using your own data.
Design better processes. Build a connected architecture. Stay in control.
Start now

The difference

ProcessMind vs. Traditional Process Analysis

Traditional Approach

Weeks of manual analysis

Spend time collecting and analyzing data across multiple tools.

ProcessMind

Minutes with automated discovery

Automatically extract and analyze data to reveal process insights in minutes.

Traditional Approach

Based on interviews and assumptions

Rely on subjective input that may be incomplete or inaccurate.

ProcessMind

Based on actual system data

Use real event data to see how your processes actually run.

Traditional Approach

Deploy and hope

Make changes without knowing their potential impact.

ProcessMind

Simulate before deployment

Test and validate changes in a simulated environment before taking action.

Traditional Approach

Generic best practices

Apply generic recommendations that may not fit your context.

ProcessMind

AI-generated, context-specific

Get recommendations tailored to your process.

Traditional Approach

ROI often measured over longer cycles

Wait longer for results with manual processes and limited visibility.

ProcessMind

Time to value depends on your data and scope

Get results faster with automation and continuous insights.

Maturity Levels

You've Reached the Top of the Maturity Journey

"You've built expertise in Process Intelligence, including mining, dashboards, simulation, and AI-driven insights. Now make those capabilities part of how you work. Continuous improvement isn't a project with an end date. It's a regular part of your organization's operations. Use what you've built to monitor, predict, and adapt. Let data guide decisions and AI surface opportunities you might otherwise miss. The journey continues, and ProcessMind gives you the tools to keep moving forward."
Step 3 of 3
MATURITY LEVEL 1

Process Foundation

Model and document your processes to give teams clarity and a shared understanding.

Business Analyst Creates and maintains process documentation and BPMN models.
Process Owner Defines how work should be performed and ensures process standardization.
Read More
MATURITY LEVEL 2

Process Architecture

Define and manage your process landscape to align operations with strategy and compliance.

Process Architect Designs the enterprise process landscape, governance structure, and ownership model.
Transformation Manager Aligns processes with strategy, compliance requirements, and business change initiatives.
Read More
Next Step
MATURITY LEVEL 3

Process Intelligence

Use data and AI to understand performance, anticipate outcomes, and improve continuously.

Operational Excellence Manager Uses data to identify bottlenecks, monitor KPIs, and drive continuous improvement.
Process Mining Analyst Analyzes actual process execution, discovers inefficiencies, and validates improvements.
Read More

Frequently Asked Questions

ProcessMind can use event data exported from systems such as ERP platforms like SAP, Oracle, and Microsoft Dynamics; CRM platforms like Salesforce; databases; and standard file formats including CSV, Excel, XES, Parquet, ORC, and JSONL. You don't need to install a connector. Export or query data with the tools you already use, then upload it. You can automate data transfer later through the REST API.

Most organizations see their first process insights within hours of uploading a dataset. How quickly returns build depends on how soon you implement the first recommended improvements.

No. ProcessMind is designed for business teams, not data scientists. AI handles complex analysis and presents insights in plain language, with specific recommendations you can act on.

ProcessMind's discrete-event simulation uses your actual process data to build realistic models. Simulation quality depends on the completeness and quality of your historical data. Results are most reliable when you calibrate models with your process data.

Efficiency gains depend on your processes and how you implement findings. Use our ROI calculator to estimate results with your own figures and process characteristics.

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