How it works
The operating loop, and who stays in charge.
PARITY turns changes in your delivery data into an explained, reviewable next step.
The loop
Six questions, answered in order.
- What changed?
New and edited work since the last assessment.
- What does it affect?
The features, releases and initiatives that depend on it.
- What is at risk?
Quality, readiness, schedule and dependency exposure.
- Why does it matter?
The evidence, in plain language.
- What next?
Recommended actions for the right role.
- Did it improve?
The next assessment closes the loop.
Assessment
A full baseline, then only what changed.
A full assessment sets the baseline. After that, PARITY reassesses only changed work and carries the effect upward: story, feature, backlog, release, alerts and recommendations.
That keeps results current and keeps AI usage proportionate to the amount of change.
Governed synchronization
You are the custodian of the backlog.
PARITY never silently overwrites your source system. It keeps three things separate.
Source state
What is in Jira or Azure DevOps today.
Working state
What you are drafting and reviewing in PARITY.
Derived intelligence
What PARITY concluded, with the evidence behind it.
Changes are written back only after you approve them, and every change is auditable.
Connections
Works with the tools you already run.
Jira
Connect Jira projects and read work items, hierarchy, status and links.
Azure DevOps
Connect Azure DevOps projects with the same model and the same views.
Configurable hierarchy
Map work item types to your Agile or SAFe structure.