Process Mining Software for Enterprises

Gain end-to-end visibility into how your processes actually run

Your systems already capture every order, approval, handoff, and exception. mindzie turns that process data into a clear, real-time view of your business processes, showing what’s actually happening, where work slows down, where rework happens, and where you can improve.

masthead process mining software

You can’t improve what you can’t see

Most companies still manage existing processes with slide decks, interviews, and assumptions. The result is a static picture of how work should move, not how process execution actually happens across teams, systems, and exceptions.

Process maps go stale instantly

A consulting project may document a workflow once, but new workarounds appear almost immediately. As processes continue to change, teams can end up relying on outdated process maps that no longer reflect real operations.

Bottlenecks hide in plain sight

A process may feel slow, but the real cause could be an approval delay, a handoff, a rework loop, or a small exception affecting thousands of cases. Without a data-driven approach, teams may miss these patterns and continue making improvement decisions with an incomplete view.

Automation can miss the real problem

Robotic process automation and workflow automation can help, but automating the wrong step only speeds up a broken workflow. mindzie helps teams find the right automation opportunities before investing in fixes.

AI process mining

Understand every path, variant, and exception

img Understand every path, variant, and exception

mindzie is process mining software that turns the data your systems already capture into a measurable picture of how work actually happens. It combines automated process discovery, process analysis, and AI insight so teams can uncover what is slowing operations down and what to improve first.

Built for analysts. Accessible to everyone.

mindzie gives teams a complete toolkit for business process mining, from data ingestion and no-code exploration to AI recommendations, automation triggers, dashboards, and advanced scripting.

Customizable System Connectors

Connect the systems behind your processes

Use prebuilt connectors for SAP, Oracle, Dynamics, ServiceNow, NetSuite, Snowflake, and more, or extend the framework for your own enterprise systems and business applications.

Operational Intelligence Reports

Use AI-generated reports to guide smarter process decisions

AI-generated reports surface root causes, rank improvement opportunities, and explain what the data means for process improvement and decision-making.

Analysis template
library

Start with proven process use cases

Launch faster with templates for order to cash, procure-to-pay, IT service management, claims, finance operations, and other process mining use cases.

AI Copilot for all skill levels

Ask questions in plain language

Business users can ask about delays, service targets, process paths, and why issues happen without needing coding, queries, or dashboard setup.

Enrichment Engine

Add business context to process data

Clean, classify, and enhance data before analysis by merging sources, standardizing activity names, and adding dimensions such as customer, region, value, or product.

Automated actions engine

Turn process insights into next steps

Trigger workflows, alerts, tickets, webhooks, or record updates when process conditions are met, helping teams move from insight to process automation.

Root Cause Analysis

Prioritize fixes with evidence

mindzie identifies the attributes most closely tied to delays and exceptions, supporting better performance analysis and targeted improvement.

Customizable dashboards & KPIs

Monitor what matters to each team

Build dashboards with real-time metrics, filters, and views for operations, finance, compliance, IT, and process excellence teams. 

Python scripting

Extend analysis for advanced users

Power users can build custom analyses, visualizations, and scripts inside mindzie when teams need deeper data mining or advanced analytics.

Predictive AI & early warnings

Act before issues escalate

Use predictive analytics to identify cases at risk of missing service targets and trigger alerts that help teams respond before delays affect customers or operations.

BPMN 2.0 generation

Convert mined behavior into process models

Automatically convert discovered process flows into BPMN 2.0-compliant process models from event logs, accurately reflecting real work, enabling visualization, deviation detection, and process improvement across systems and teams.

No‑code analysis creation

Make process intelligence accessible

Create and customize analyses with a drag-and-drop experience, giving business users access to process intelligence capabilities without relying only on data teams.

How it works

From your ERP to a living process map

img From your ERP to a living process map

mindzie starts with the systems you already use, turns raw events into structured analysis, and helps teams improve business operations from one process mining platform.

Connect

Bring your operational systems together

Connect to SAP, Oracle, SAP, Oracle, Dynamics, ServiceNow, NetSuite, Snowflake and more through prebuilt connectors and guided setup.

Log

Structure the data behind each case

mindzie transforms raw tables into an event log with case IDs, activities, timestamps, and the attributes needed to analyze work accurately.

Discover

Reveal how the process actually runs

The platform reconstructs every path, calculates cycle times, identifies variants, and explains findings in plain language through the AI Copilot.

Improve

Move insights into daily operations

Set monitors, trigger alerts, generate BPMN models, feed agents with process context, or share analysis with stakeholders from one place.

Prebuilt connectors. Guided data preparation.

mindzie connects to the systems your business already runs on and helps teams prepare event logs for process intelligence. With prebuilt connectors and Data Designer ETL, teams can bring together log data, event data, and operational records from IT systems without building every data pipeline from scratch.

Frequently asked questions

How does process mining work?

Process mining works by reading event data from business systems. Each event usually includes a case ID, activity, timestamp, and related attributes, which the software uses to reconstruct process flows and analyze performance.
Common use cases include order to cash, procure-to-pay, IT service management, finance operations, shared services, supply chain management, claims, and compliance workflows. These areas often involve complex processes, multiple systems, and measurable performance goals.
Yes. Process mining reveals which steps are stable, repetitive, delayed, or exception-heavy, helping teams decide where automation should be applied. This is especially useful for automation initiatives, robotic process automation, and intelligent automation programs.
Traditional process mining tools often focus on discovery and analysis. mindzie combines process mining, BPMN modeling, AI operational intelligence, data transformation, dashboards, alerts, and agent-ready process context in one platform.
Yes. Process mining enables continuous compliance monitoring by comparing real process behavior against policies, controls, and regulations. Conformance checking can surface deviations in real time instead of waiting for quarterly audits, while automated audit reports highlight policy violations, control weaknesses, and timestamped process trails that support regulatory compliance.

Yes. mindzie supports object-centric process mining (OCPM) for workflows that involve multiple related business objects, such as orders, invoices, tickets, customers, claims, and assets. This helps teams analyze complex processes that do not follow one simple case path.