- Introduction
- Getting started
- Build on any canvas
- Build with Case
- Reference
- Defining case keys (system vs. external)
- Establishing task I/O and write-back contracts
- Modeling primary and secondary stages
- Triggering a case from Data Fabric
- Implementing stage-level personas and permissions
- Setting SLAs and automated escalation rules
- Configuring a rework loop (re-entry)
- Configuring and testing the Case Manager Agent (preview)
- Build with Flow
- Build with BPMN
- Operating
- Monitoring
- Optimizing
- Reference information
Understanding Process optimization
Process optimization capabilities in Maestro Orchestrate, combining built-in analytics and Process Mining to reveal inefficiencies, delays, and rework patterns over time.
Process optimization helps you analyze how your processes perform over time and turn execution data into improvement opportunities.
It combines the built-in analytics in Maestro Orchestrate with Process Mining insights to reveal inefficiencies, delays, and rework patterns that affect business outcomes.
You can access Process optimization from:
- The Optimize tab inside Maestro Orchestrate, or
- The Process Optimization app in Process Mining, automatically linked to each published process.
Use Process optimization to:
- Visualize end-to-end execution paths. Compare actual process flows with their modeled versions.
- Measure performance trends. Track KPIs such as duration, automation rate, and conformance over time.
- Identify improvement areas. Detect bottlenecks, rework loops, and low-automation steps.
- Simulate changes. Test process adjustments and measure their impact before deployment.
Optimization connects process execution and process intelligence, helping you move from monitoring what happened to understanding why it happened and how to make it better.
Process optimization dashboards are available for processes built on the BPMN and Case canvases. They are not yet available for processes built on the Flow canvas.