Process Intelligence Platform
One platform to discover, optimize, and deploy AI-ready processes from anywhere
mindzie brings together process mining, business process modeling, task mining, AI intelligence, and agent support in one platform, giving enterprise teams full visibility into how their processes run and the insights to improve them.
The challenge
Most companies don’t truly understand how their business actually runs
Process maps go stale instantly
A consulting project can document how a process works at one point in time. Soon after, teams create workarounds, exceptions change, and the map no longer reflects how work actually moves.
Bottlenecks hide in plain sight
A process may feel slow, but the cause is not always obvious. Delays can come from approval steps, rework loops, missing data, or exception paths that only appear when you analyze real process activity.
AI without process context is guessing
AI agents and copilots need to understand process steps, SLAs, exception paths, and approval rules. Without that context, AI can create more work for people to review and correct.
Processes change faster than people can map them
Manual process mapping struggles to keep up with daily operational change. Teams need a platform that keeps the process view current as work moves across systems.
The answer
mindzie is a process-aware intelligence platform
We turn how your business actually works into a living, measurable asset, one your teams, your leaders, and your AI agents can all act on.
Model
Business Process Modeling
Understand
تعدين العمليات
Monitor
Process Monitoring & Predictions
تحسين
Operational Intelligence
Core capabilities
One integrated platform to transform your business processes
تعدين العمليات
Map out your workflow
Discover real workflows from system event logs, including every case, variant, bottleneck, rework loop, and exception.
Object Centric Process Mining
Follow work across every related object
Analyze processes that span related objects such as orders, invoices, shipments, tickets, and claims. Model them once in Data Designer and compare every perspective in one project.
Business Process Modeling
Build effective processes with BPMN 2.0
Design, document, and govern process models in BPMN 2.0, then compare them against how work actually happens.
استخراج المهام
Find the work your systems miss
Capture desktop-level activity to reveal patterns such as manual work, repeated steps, and productivity gaps that system data alone cannot explain.
Process Monitoring & AI Predictions
Catch process risk before it spreads
Monitor live processes, track SLAs and compliance, detect stuck cases, and predict risks early so teams can act before escalations, costs, or customer issues grow.
AI Operational Intelligence
Prioritize decisions with AI-driven insight
Use AI-powered reports, insights, and recommendations to understand process performance and identify what needs attention.
ETL and Data Transformation
Prepare enterprise data for analysis
Structure and transform process data from different systems so it is ready for mining, analysis, and reporting.
AI Agents
Connect automation to business rules
Give AI agents reliable process context so they can support decisions, recommendations, and automation within real business rules.
Simulation
Test process changes before they go live
Process improvement should not be guesswork. mindzie process simulation lets teams model a proposed change and evaluate its impact on cycle time, workload, resource allocation, and process performance before anything reaches production. Simulation sits alongside process mining and BPMN 2.0 modeling in the same platform, so the team that discovers a process can also test how a change to it would behave. Ask what if questions, see where the impact lands, and build the case for change with evidence rather than opinion. When a question calls for custom logic, integrated Python scripting extends the analysis.
Model the change
On the governed BPMN 2.0 model
Run the scenario
Ask what if questions
Evaluate the impact
Cycle time, workload, resources
Roll out with confidence
Fewer surprises after go live
Prediction
Know which cases are at risk before the SLA is missed
Most teams learn about an SLA problem after the case has already missed its target. mindzie changes the timing. Process Monitoring and AI Predictions watches live cases, tracks SLAs and compliance across every active case, and uses predictive analytics to surface the cases most likely to miss their service targets while there is still time to intervene. Early warnings reach the people who can act through alerts in Microsoft Teams, Slack, or email, and the automated action engine turns thresholds and conditions into escalations instead of waiting for someone to notice.
Monitor live cases
SLAs, compliance, stuck cases
Predict the risk
At risk cases surfaced early
Alert the owner
Microsoft Teams, Slack, or email
Act before the breach
Automated escalations and actions
Customer results
Real processes. Measurable results.
الخدمات المصرفية
14 days → 4.1 days average
23% down to 7.4%
Across 3 channels
From faster onboarding and fewer drop-offs
التصنيع
From fewer rush orders and operational delays
Deployment
Your data, your rules
On-Premises Edition
Run mindzie within your own environment for enterprise security, data control, and compliance needs.
إصدار سطح المكتب
Start process mining from your desktop with a flexible option for analysts, consultants, and smaller teams.
Cloud Edition (SaaS)
Use mindzie as a fully managed SaaS platform built for fast deployment, secure access, and enterprise-grade data protection.
How mindzie is used
The right tool for every team
Process Teams
نمذجة BPMN
Document processes for training, compliance, and operational excellence.
Technical Teams
مصمم البيانات
Connect systems and stream live event data with low-code connectors.
Analysts
No-Code BI Tools
Explore, analyze, and understand what's happening across processes.
Key Leaders
Dashboards & Monitors
Monitor KPIs, SLAs, and process health in real time.
Scientists
Predictions & Python
Build predictive models and advanced analytics with integrated Python.
Executives
Intelligence Reports
Generate AI-driven intelligence reports with recommendations and cost-impact analysis.
AI Teams
MCP Server & APIs
Expose business context to AI agents through our Model Context Protocol (MCP) server.
The journey
From documentation to intelligent action
Model
Document your designed processes in BPMN 2.0. Establish the baseline.
Mine
Connect your systems. See the real as-is process vs. the designed one.
Monitor
Track SLAs in real time. Get alerts before problems escalate.
Predict
AI warns of future risks, giving leaders more time to act.
Report
AI intelligence reports give leaders the diagnosis and recommendations.
Transform
Feed context to AI agents. Automate with guardrails and governance.
Each step builds on the last. Start where you are and grow into a fully connected, process-aware intelligent enterprise.
Why mindzie
The business case for process intelligence
Typical efficiency gain
Within the first optimized process
Not months
To first measurable insight
Case coverage
Across every case, variant, and exception without sampling
- Full visibility into how processes actually work, not how they’re documented.
- Early warnings that give teams time to intervene before problems escalate.
- Continuous compliance monitoring across every case and process.
- AI agents grounded in real process context that are safe, governed, and auditable.
- Whether you deploy mindzie in the cloud, on premises, or on your desktop, your data stays where your security requires.
- One platform for modeling, mining, and intelligence, eliminating tool sprawl.
Contact us now
Build a clearer path from process insight to action
With mindzie, your team can uncover hidden inefficiencies, strengthen process governance, reduce delays, and create a stronger foundation for AI-ready operations. See how one platform can help your organization understand, improve, and scale the way work gets done.