01
AvailableUser Story Analysis
Review requirements before test design begins.
- Ambiguities, gaps, contradictions, and risks
- Open decisions and readiness signals
- Evidence-aware test requirements and traceability
AI-assisted quality engineering
Turn requirements into test-ready QA.
Find ambiguity, missing decisions, risks, and coverage gaps—then create structured, reviewable QA artifacts without losing traceability.
Built for QA engineers, SDETs, test leads, and software teams. Human review stays in control.
Real product evidence
Explore real platform outputs.
Navigate the current product and its roadmap from one extensible preview. Real captures are used whenever a workflow is available—not generic AI mockups.
Choose a capability to update the product preview
AvailableIn developmentPlanned
Core capabilities
Focused QA workflows built from your requirements.
Every capability is represented according to its current implementation state.
02
AvailableTest Case Generator
Create and refine structured cases for UI, API, E2E, and mobile.
- Positive, negative, boundary, security, and performance coverage
- Preconditions, test data, steps, and expected results
- CSV, Excel, Word, PDF, and Markdown exports
03
In developmentPostman Script Generator
Explore the planned workflow for configuring API validation intent while generation and export continue to be refined.
- Endpoint, payload, response, and validation-rule design
- Connection settings provide the integration foundation
- Not presented as a completed production workflow
04
AvailableHistory & Artifacts
Keep QA outputs searchable and reusable in one place.
- Search, filters, lifecycle status, and details
- Edit, duplicate, archive, restore, and export
- Requirement-to-test continuation
05
AvailableBug Report Generator
Create workspace-owned reports from verified defect evidence.
- Ordered steps, actual and expected behavior
- Severity, priority, technical context and evidence
- Saved lifecycle and supported exports
06
AvailableQA Workspaces
Organize QA artifacts by initiative with real context, activity and lifecycle controls.
- Context types and uniquely named workspaces
- Real indicators, activity and next actions
- Authorized artifact movement and ownership
07
PlannedPlaywright Automation
A future workflow for turning reviewed test intent into maintainable browser automation.
- Planned for Playwright-based web scenarios
- No generated automation is marketed as available today
User Story Analysis
Resolve requirement risk before it becomes test rework.
QA Copilot does more than summarize a story. It separates evidence from inference, identifies unresolved product decisions, and projects actionable QA work for professional review.
- Missing or untestable acceptance criteria
- Ambiguities and conflicting behavior
- Risks, dependencies, and scope boundaries
- Readiness, coverage, and requirement traceability
From analysis to execution
Keep test design connected to reviewed intent.
Use the reviewed requirement as input, choose the coverage you need, then inspect and edit the generated artifact. The Postman workspace shown here remains in active development.
Requirement → finding → test requirement → test case
How it works
A reviewable workflow from requirement to QA artifact.
- 01
Add the source
Paste a requirement, upload a supported document, select a saved analysis, or import a Jira story when configured.
- 02
Configure the review
Choose language, analysis mode, platform, coverage, and the artifact details that matter for your context.
- 03
Review structured findings
Inspect evidence, decisions, risks, readiness, scenarios, and traceability. Edit with professional judgment.
- 04
Save or export
Continue into test cases, keep artifacts in History, download supported formats, or use a configured integration.
History & traceability
Keep every QA artifact visible, searchable, and reusable.
Review real artifact status, workspace context, timestamps, exports, and refinement signals from one operational history.
Integrations
Connect QA work to the tools your team already uses.
Integrations require user configuration and validated credentials. Availability never implies an automatic connection.
Jira Software
Connect Jira, import story evidence, and use configured project context.
Xray Cloud
Validate Xray credentials, browse Test Repository folders, and send generated manual tests.
Postman
The workspace connection is operational; script generation and export behavior are still being refined.
Security & control
AI assistance with server-side controls and human review.
QA Copilot protects authenticated workflows without making unsupported certification claims.
Human-reviewed
AI-assisted
AI-assisted
- Secure authentication and verified account flows
- Server-side authorization for protected operations
- User and workspace ownership controls
- Protected integration credentials
- Human review before generated work is relied upon
- No invented compliance badges or security certifications
Plans
Start during the current testing phase.
Paid pricing and billing are not publicly finalized, so this page does not invent prices or enterprise packaging.
Testing access
Create an account and use the currently available QA workflows. Usage is presented in-product as available during the testing phase.
Create an accountPaid plans
Billing and final paid-plan terms will be published only when the complete purchase flow and pricing are ready.
FAQ
Questions QA teams ask before starting.
What is QA Copilot?
QA Copilot is an AI-assisted quality engineering platform for analyzing software requirements and creating structured, traceable QA artifacts.
Who is it for?
It is designed for QA engineers, testers, SDETs, automation engineers, QA leads, and software teams that need clearer requirements and more consistent test design.
Can it analyze user stories?
Yes. The current workflow detects gaps, ambiguities, contradictions, risks, open decisions, readiness issues, and test requirements with traceability to source evidence.
Can it generate and export test cases?
Yes. It generates editable UI, API, E2E, and mobile test cases and supports CSV, XLSX, DOCX, PDF, and Markdown exports.
Can it generate Postman tests?
An initial generator and integration workspace exists, but generation and export are still being refined and are not presented as a completed workflow.
Which integrations are available?
Jira and Xray Cloud have implemented configuration flows. The Postman workspace is in development. Each integration requires valid user credentials and may require project or workspace setup.
Is there a free plan?
Account access is available during the current testing phase. Final paid pricing and billing terms are not yet published.
Does AI replace QA review?
No. AI accelerates analysis and artifact drafting; a QA professional remains responsible for reviewing context, resolving decisions, and approving the result.
QA Copilot
Build better QA work from the requirements you already have.
Start with a user story. Leave with structured findings, traceable coverage, and artifacts your team can review.