Process Intelligence Features
Make complex processes easier to measure and optimize
mindzie gives enterprise teams the tools they need to understand how work really happens, find what slows performance, and implement the right process optimization plan with confidence.
Module 01
Business Process Modeling
Document, design, and govern the processes your organization runs on to build the foundation for operational excellence, compliance, and knowledge transfer.
BPMN 2.0 Modeling
Create standards-compliant process models with a simple drag-and-drop experience. Publish, manage, and govern process models across the organization.
Training & Knowledge Transfer
Capture institutional knowledge in clear, current process models. Help new hires understand how work should move without relying on scattered documentation.
Compliance & Governance
Define the approved process that becomes the benchmark for execution. Track changes, manage versions, and maintain a clear record of process ownership.
Excelência operacional
Model the target state, then compare it with how work actually runs through process mining. Identify gaps between design and execution faster.
ETL and Data Transformation
ETL and Data Transformation with Data Designer
Data Designer is the ETL and data transformation layer of mindzie. Connect to the systems that run your processes, clean and join their records, define the case, activity, and timestamp, and publish event logs that are ready for mining, monitoring, and AI. Low code for analysts, Python for power users, scheduled refresh for everyone.
Explore Data DesignerModule 02
Mineração de processos
Understand how work actually moves through your business. mindzie reconstructs real processes from the data your systems capture, revealing variants, bottlenecks, and rework loops.
Automated Process Discovery
Rebuild process paths from raw event logs without interviews or assumptions. See what is actually happening across teams, systems, and cases.
Bottleneck & Variant Analysis
Compare the different ways a process runs in practice. Identify which variants increase cost, slow performance, or create compliance risk.
As-Is vs. To-Be Conformance
Compare mined process activity against your BPMN model. See which cases deviate from the intended path, where they drift, and how much impact they create.
Análise da causa raiz
Move from identifying problems to understanding why they happen. AI highlights the attributes most closely linked to bottlenecks, exceptions, and process delays.
Object Centric Process Mining
Analyze processes that span related objects such as orders, invoices, shipments, and claims. Model the objects once in Data Designer, generate an order view, an item view, and an invoice view, and compare them in one project.
BPMN 2.0 Generation
Turn mined process behavior into BPMN 2.0 models that teams can edit, publish, and govern inside mindzie, so the documented process starts from what actually happens.
Module 03
Process Monitoring & AI Predictions
Watch processes run in real time. Ensure compliance, keep things moving, and predict problems before they happen, giving your team more time to act.
Real-Time Process Monitor
- SLA tracking across active cases
- Continuous compliance conformance monitoring
- Alerts via Teams, Slack, and email
- Stuck case detection and auto-escalation
AI Predictions & Early Warnings
- Predict SLA breaches before they happen
- Identify at-risk cases early in the process
- Give teams more time to act and intervene
- Reduce fire-fighting, increase proactive management
More time to act = fewer escalations, lower cost, happier customers
Simulation
Simulate a process change before rollout
Every process change carries a question: what happens if we do this? mindzie process simulation answers it before rollout. Teams propose a change to a process model and evaluate its effect on cycle time, workload, resource allocation, and overall process performance, so the decision rests on evidence instead of a meeting room estimate. Because simulation lives next to BPMN 2.0 modeling and process mining, the same workspace covers discovery, design, and testing. Power users can go further with integrated Python scripting when a scenario needs custom calculations.
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
AI predictions and early warnings
Dashboards tell you what happened. AI Predictions and Early Warnings tell you what is about to happen. mindzie applies predictive analytics to live process data to identify at risk cases early and predict SLA breaches before they occur, giving teams time to intervene while the outcome can still change. The Real Time Process Monitor tracks SLAs across active cases, runs continuous conformance monitoring, and detects stuck cases, with alerts delivered through Microsoft Teams, Slack, or email. Analysts and data scientists can build custom predictive models with integrated Python scripting on the same event data.
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
Module 04
Operational Intelligence
AI-generated reports turn process data into clear recommendations for analysts, managers, and executives. Go beyond dashboards with diagnosis, context, and next-step guidance.
For Analysts
- Deep-dive process analytics
- Customizable KPI dashboards
- No-code exploration tools
- Python scripting for advanced users
For Managers
- Team performance monitoring
- SLA compliance views
- Exception and bottleneck alerts
- Continuous improvement tracking
For Executives
- AI-generated insight reports
- Cross-process efficiency scoring
- Cost-impact quantification
- Strategic improvement priorities
The differentiator
Intelligence for your AI agents
Every enterprise is racing to deploy agents. Few are giving them what they need most: a grounded understanding of how the business actually runs. mindzie is a platform that gives AI agents the process context, exception logic, and governance controls they need to support real enterprise workflows.
Grounded in your real process
Agents work from the actual end-to-end flows your teams run, not generic process assumptions.
Aware of exceptions and SLAs
mindzie gives agents the rules, variants, thresholds, and service targets that define how work should move.
Governed and auditable
Every agent action can be traced back to the process step, data, and rule that informed it.
MCP server for AI teams
Expose process context through mindzie’s Model Context Protocol (MCP) server, giving AI teams a stronger foundation for building business-aware agents.
Deployment
Your data, your rules
On-Premises Edition
Keep process intelligence within your environment
- Keeps process data inside your network and behind your firewall
- Supports stronger control over data residency, security boundaries, and internal policies
- Lets your team manage upgrade timing, testing, and validation windows
- Supports offline or air-gapped deployment requirements
- Enables customer-managed AI through your own on-premise LLM or private endpoint
- Includes enterprise features such as process mining, BPMN modeling, AI agents, AI Copilot, templates, dashboards, and KPIs
Desktop Edition
Mine for insights with less setup
- Gives analysts and consultants a focused workspace for process analysis
- Includes core features such as process mining, task mining, BPMN modeling, AI agents, AI Copilot, dashboards, KPIs, and templates
- Supports local projects without requiring a full cloud or server deployment
- Helps teams analyze process data, validate opportunities, and build improvement cases quickly
Cloud Edition (SaaS)
Deploy faster with enterprise-grade protection
- Processes data in mindzie’s managed cloud environment
- Supports faster rollout with less infrastructure to manage internally
- Uses a shared responsibility model between mindzie and your team
- Follows vendor-led release cycles for updates and improvements
- Supports customer use of their own LLM for AI needs
- Includes process mining, dashboards, KPIs, and secure access for distributed teams
Security & Trust
Enterprise-grade by default
mindzie is built for organizations that need to protect sensitive process data across regulated, security-conscious environments. Whether deployed in the cloud, on premises, or on your desktop, mindzie gives teams the controls needed to support enterprise security requirements.
- SOC 2 Type II controls, with reports available upon request
- GDPR support and data processing agreements
- Encryption at rest and in transit
- SSO, SAML, SCIM, and role-based access control
- Data residency options for cloud deployments
- Regular penetration testing and security reviews
- Sub-processor transparency
- Uptime SLA commitments for cloud customers
Frequently asked questions
What is a process intelligence platform?
How is process intelligence different from business intelligence?
How does process intelligence work?
Can process intelligence help improve automation?
How much does mindzie cost?
Pricing depends on your deployment model, number of users, scope, and the process mining capabilities your team needs. Visit our pricing page or contact mindzie for a plan tailored to your organization’s process intelligence goals.