Testers HUB AI
Move from requirements to reviewed test coverage, manual execution, defects, retesting, regression and release reporting in one connected QA workflow.
Available through managed Testers HUB QA engagements. Broader product access is being evaluated.
AI-assisted planning. Human-led delivery.
Turn your requirements into an actionable manual regression plan with Testers HUB. AI helps draft and organize coverage; QA engineers review the business rules, execute approved tests and maintain the suite as your product changes.
Provide your website/app, user stories, designs or requirements. Agree the critical journeys, roles, environments and release scope with QA.
AI-assisted test case generation organizes modules and suggests scenarios or a checklist with steps and expected results. Treat assumptions as questions to resolve.
QA validates business logic, removes duplicates, adds missing risks and confirms priorities, test data and browser/device coverage before execution.
Engineers execute approved cases and explore adjacent risks. Record Pass, Fail, Blocked, Hold or Not Run with environment details and observations.
Connect failures to test cases with reproduction steps, expected vs actual behavior, severity and screenshots or other useful evidence.
Verify fixes, add cases for confirmed failures and update affected journeys after changes. Report execution status and open risks for release decisions.
AI output is a draft. Human review determines whether the coverage is relevant and ready to run.
AI assistance
QA ownership
Illustrative SaaS example · not a client result
Suppose a SaaS release includes onboarding, paid subscriptions, admin/member roles and notifications. The following shows a possible initial draft and the questions a QA engineer would resolve before execution.
Initial draft: Sign up, verify email and complete the first-run setup.
QA adds: Expired or reused invitation links, interrupted setup and session expiry. Confirm recovery behavior with the product owner.
Initial draft: Select a plan, complete checkout and confirm access.
QA adds: Failed payments, repeated submission and delayed payment confirmation. Agree the expected subscription state and use approved test payment data.
Initial draft: Check admin and member permissions.
QA adds: Direct-link access, role changes during an active session and cross-workspace data visibility. Turn the approved permission rules into a role matrix.
Initial draft: Trigger an event and check that a notification arrives.
QA adds: Recipient and preference rules, duplicate or delayed delivery, and links opened by signed-out users. Check layout and interactions on agreed browsers/devices.
Ready for execution: Each approved case needs a requirement or risk, preconditions, test data, steps, expected results, priority and environment. Unresolved rules remain flagged; after execution, confirmed defects and product changes inform the next regression cycle.
Working capabilities
Current screens show real Testers HUB AI functionality. We label roadmap items separately and do not publish unmeasured speed or quality claims.
AI-assisted test design
Review modules, risks and estimated coverage, then approve only the drafts that fit the real product workflow.
Manual execution and reporting
Create reusable suites, monitor live execution status and generate evidence-led summaries for product decisions.
One connected workspace
Organize projects, modules, test suites, runs and current QA status.
Draft coverage from approved requirements, then review and save useful cases.
Record Pass, Fail, Blocked, Hold and Not Run states with practical notes.
Connect issues to cases with steps, severity, screenshots and status.
Verify fixes, reopen unresolved defects and retain an auditable history.
Reuse approved coverage around critical paths, changes and prior failures.
Summarize execution progress, open risks and release readiness.
Expanded automation assistance is in development and is not presented as available today.
Product evidence
Our controlled benchmark records approved drafts, QA edits, rejected or duplicate scenarios, missing cases added by testers, draft time, review time and final approved coverage.
Results will be published only after the underlying evidence is complete and reviewable.
Choose the right path
Frequently asked questions
No. It connects AI-assisted test design with human approval, manual execution, defects, retesting, regression planning and QA reporting.
Yes. Approved client, product, development and QA stakeholders can receive secure access to follow test cases, execution progress, defects, evidence and summaries during a managed QA engagement.
No. AI accelerates analysis and drafting. Experienced testers review product context, approve coverage, execute workflows, document evidence and make release recommendations.
A project can begin from a website or web application URL, mobile build, PRD, BRD, Figma design, user stories or other approved requirements and workflow documentation.
Expanded automation support is on the roadmap. Current working capabilities focus on AI-assisted test design, human review, manual execution, defects, retesting, regression organization and reporting.
Early product access
Tell us how your team manages requirements, cases, execution, defects and regression. We will review the fit for a managed pilot or early product evaluation.
