AI Process Optimizer turns Jira event history into process mining visualizations, AI-generated insights, and a Process Health Score with a clear remediation roadmap.
1
Extract
2
Process Mining
3
Visualize
4
AI Insights
5
Score & Roadmap
#1
Extract Jira Activity Logs
Capture complete, event-level history for every work item.
Status & workflow changes
Comments (customer + internal)
Worklogs, timestamps, assignees
Optional: SLA fields & metadata
Event log extraction
Output: clean event log ready for process mining.
#2
Process Mining & Discovery
Reconstruct real workflows from actual behavior (not configured states).
Process metrics (cycle time, variance)
Workflow variants
Transitions & activities
Hidden loops / rework patterns
Variants & transitions
Output: metrics + variants + transitions dataset.
#3
Visualize Real Workflows
Make bottlenecks, rework and flow efficiency obvious at a glance.
Variant flow / process maps
Heatmaps (time in status)
Bottleneck & wait-state highlights
Rework loops flagged for action
Dashboards & heatmaps
Output: stakeholder-ready dashboards.
#4
Generate AI Insights
AI explains why performance issues occur and what to change.
Root-cause narratives & drivers
SLA risk & compliance gaps
Automation opportunities & ROI hints
Best-practice findings (enterprise)
AI findings
Output: prioritized, actionable findings.
#5
Process Health Score + Remediation
A single score for execs, plus a practical improvement roadmap.
