Platform
An intelligence layer that assists, assesses, explains and recommends.
PARITY connects to your systems of record and turns operational work data into evidence leaders can act on.
Layer 1
AI Delivery Copilot
Assists the people doing the work.
- Story and feature refinement
- Acceptance criteria drafting
- Test scenario generation
- Quality coaching
Layer 2
Quality & Health Engine
Continuously assesses the work.
- Story quality and readiness
- Test and defect health
- Dependencies
- Release readiness
Layer 3
Delivery Intelligence
Explains and improves execution.
- What changed and what it affects
- Risk explanations
- Corrective actions
- Release briefings
Layer 4
Portfolio Intelligence
Compresses signals for leadership.
- Portfolio and initiative health
- Exceptions with reasons
- Roll-up from work item to portfolio
- Executive actions
Explainable health
Seven dimensions you can inspect and configure.
| Dimension | Example signals |
|---|---|
| Requirements quality | Clarity, completeness, acceptance criteria, ambiguity, traceability |
| Backlog readiness | Ready-item ratio, aging, dependencies, refinement state |
| Test health | Coverage, pass and fail, blocked and not-run, critical failures |
| Defect health | Severity, aging, recurrence, escaped defects |
| Flow | Cycle time, throughput, carryover, work in progress, blocked time |
| Release readiness | Scope completion, quality gates, testing, blockers, dependencies |
| Financial efficiency | Effort, rework and remediation cost, when the data supports it |
A management signal is always traceable to the stories, tests, defects, dependencies or process events behind it.
Expert Panel
Perspectives, not a single verdict.
Product Management, QA Engineering, Architecture, Security & Compliance and DevOps each review the work. Findings are marked clear, advisory or blocking, and each links to its evidence and a recommended action.
Release Workspace
Scope, milestones, health, risks and priority actions in one view.
Direction
Where the platform is heading.
Now
Jira and Azure DevOps integration, story quality, AI refinement, test generation, initiative health, portfolio roll-up, recommendations, role-based access and audit.
Next
Health history, corrective actions, role dashboards, alerts, and questions asked of the portfolio in natural language.
Later
Predictive risk, anomaly detection, cost and value intelligence, advanced governance and private deployment options.
Direction, not a delivery schedule. We publish capabilities as they ship.