Product

From Jira history → process insight → automation

AI Process Optimizer mines your issue event history to build real process models, variants and metrics — then applies findings and generates automation packs to drive measurable improvement.

How it works

  1. Connect Jira projects and analyze issue history across any work type.
  2. Mine workflows automatically to build process models, variants and metrics.
  3. Prioritize fixes with findings and generate automation packs.
AI Process Dashboard screenshot
Process map screenshot
Visualize

See the real workflow — variants, loops, waits

Go beyond the configured Jira workflow. Understand what actually happens in practice: detours, loops, rework, handoffs and waiting states.

Process map
Discover dominant paths and bottlenecks.
Variants
See top variants and high‑rework patterns.
Findings

AI findings with evidence & impact

Highlight what matters most: high rework, slow resolution, complex paths, repeated handoffs, and compliance drift — with supporting metrics.

Compliance
Workflow adherence and control gaps.
Performance
Cycle time drivers and rework loops.
Performance findings table screenshot
Insights modal screenshot
Automation packs screenshot
Automation Packs

Turn insight into action

Generate ready‑to‑use automation guidance to reduce delays and rework. Packs are structured for common Jira automation tools.

  • Automation for Jira (A4J)
  • ScriptRunner
  • JMWE
  • JWT
Use cases

Works across ITSM + Software workflows

Incidents

Reduce rework loops and improve time‑to‑resolution.

Requests

Identify waiting states and handoff delays.

Stories / Delivery

Find complex paths and automation opportunities.

Browse use cases
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