From Jira workflow data to practical action
Process Advisor for Jira turns Jira history into process-mining evidence, then uses AI to produce practical outputs: executive assessments, service improvement priorities, process health findings, redesign recommendations, implementation guidance and automation recommendations that teams can actually act on.
How it works
- Connect Jira projects and reconstruct actual workflow behaviour across one or many work types.
- Mine workflows to expose variants, bottlenecks, rework loops, handoffs, waiting time and performance patterns.
- Prioritize improvements with AI-generated advisory outputs and implementation-ready guidance across process, governance and automation.
See the real workflow, not just the configured one
Configured workflows describe intent. Process mining reveals reality: detours, loops, rework, handoffs, idle states and waiting time that create poor service, slow delivery and unnecessary cost.
AI findings with evidence and business impact
Surface the issues that matter most: high rework, slow resolution, complex routing, repeated handoffs, approval gaps and compliance drift, all backed by workflow evidence and supporting metrics.
Turn insight into action
Move from diagnosis to delivery. Generate practical implementation guidance to reduce delays, rework and manual effort, with structured recommendations for common Jira automation tools when automation is the best fix and clear non-automation actions when it is not.
- Automation for Jira (A4J)
- ScriptRunner
- JMWE
- JWT
Works across ITSM, operations and 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.