From Jira issues to quality confidence.
Native test management in Jira Cloud — with AI that writes complete scenarios, integrated BDD, closed-loop CI and executive quality visibility across all projects.
Why Smart QA AI
Quality intelligence for your entire Jira instance.
From Story scenarios to portfolio executive reports — AI, BDD, CI and multi-project governance in one Forge-native app.
Quality Governance
Executive view across all Jira projects: average coverage, risk score, open bugs, automation maturity and manager-ready summaries.
Forge-native architecture
Built for Atlassian Jira Cloud with tenant-first architecture and operational simplicity.
AI-assisted authoring
AI reads the Story and generates 3–8 structured scenarios with steps and expected results. You review and approve before saving — on each request.
BDD-ready workflows
Work with Gherkin-friendly structures so product, QA and engineering share the same language.
CI integration flow
Import JUnit and Cucumber JSON from your pipeline and close the loop between automation and quality visibility.
Traceability by design
Connect Stories, test cases, executions, bugs and evidence in an auditable lifecycle.
Key features
From executive governance to release confidence.
Quality Governance
Risk heatmap, average coverage, at-risk projects and executive KPIs across all Jira projects — with CSV export and snapshots.
Complete AI scenarios
AI reads the Story and generates 3–8 structured scenarios with steps and expected results. You review and approve before saving — on each request.
Native BDD/Gherkin
Generate Gherkin alongside manual steps, validate in the editor and export `.feature` files with `@TC-XXXX` tags.
Integrated CI
Import JUnit and Cucumber JSON from your pipeline; results close the loop in the same execution.
Plans, runs and GO/NO-GO
Organize runs, record evidence and see whether the release is ready — all inside Jira.
Coverage matrix
See which Stories have tests, which are uncovered and where gaps remain by release.
Pricing aligned to team size
Smart QA AI follows a transparent per-user model with a free tier for small teams and progressive pricing for larger Jira sites.
| Cloud users | Price / user / month | Example monthly total |
|---|---|---|
1–10 usersFREE forever | US$ 0.00 | US$ 0 / month |
11–100 users | US$ 0.99 | US$ 99 / month (100 users) |
101–500 users | US$ 0.79 | US$ 395 / month (500 users) |
501–2 000 users | US$ 0.55 | US$ 1 100 / month (2 000 users) |
2 001+ users | US$ 0.38 | US$ 0.38 per user over 2 000 |
Pre-launch pricing reference. Contact us to join early access while the official listing is being published.
Frequently asked questions
Is Smart QA AI already live on Atlassian Marketplace?
Will there be a free tier and trial?
How does AI work in Smart QA AI?
Where is data stored?
Will CSV import/export be available?
How do I request access or support?
Do you support Jira Data Center?
Smart QA AI is opening early-access onboarding
Contact our team to request access before official Atlassian Marketplace release.