Event-log preparation
Build event logs from stable case identifiers, activities and timestamps, then document exclusions and data gaps so the process model reflects the real workflow.
Enterprise Platforms & Automation
Process Mining & Process Intelligence
Gromnii uses event data to reveal how work flows, where it breaks and what to improve.
Request
Workflow
Rules
Systems
Approval
Measure
When this is useful
Use process mining and process intelligence when actual workflow behavior is difficult to understand from documented procedures or interviews alone. Event data can reveal variants, delays, rework and control gaps, but interpretation still requires process owners and business context.
How the workflow connects
This reference shows one possible Process Mining and Process Intelligence arrangement. The actual design depends on the systems, constraints and controls involved.
01Systems
02Event logs
03Process model
04Analysis
05Improvement
06Monitor
What Gromnii builds
Process discovery
Connect Process discovery to authoritative system state before an automated step can proceed.
Conformance analysis
Compare observed process paths with required or expected flows to find skipped controls, repeated work, unauthorized variants and avoidable rework.
Bottleneck & rework analysis
Define success, failure and compensation behavior for bottleneck and rework analysis across connected systems.
Continuous monitoring
Route exceptions from Continuous monitoring to an owned queue with the context needed to resolve them.
What it can improve
Clearer view of actual process behavior
Reconstruct process paths from event records so teams can see how work really moves rather than relying only on intended procedures.
Better bottleneck identification
Measure delays, loops and rework by process variant to focus improvement on the points creating real friction.
Ongoing process monitoring
Track conformance and performance after changes so improvements can be verified rather than assumed.
What matters in production
Data quality
Check whether event logs have stable case IDs, ordered timestamps and complete activities before interpreting process variants or performance from them.
Privacy
Prepare event logs so process analysis uses the minimum necessary personal or sensitive information while still preserving the sequence needed for analysis.
Interpretation
Distinguish correlation in observed process paths from proven cause, and validate important findings with process owners before changing operations.
Change ownership
Assign owners to proposed process changes and the metrics that will confirm whether the change reduced delay, rework or control failure after implementation.
Related solutions and industries
Discuss a Project
Describe what Process Mining and Process Intelligence should change, the systems it must work with and the constraints that matter.