BRD and requirement intake
Start from a BRD, user story, acceptance criteria, API contract, application URL or flow, connected documentation, or a plain-language testing objective.
AI Test Case Generator
Turn requirements and product context into reviewable test cases.
QTXpert helps quality teams convert requirements into structured test coverage while keeping risks, expected results, priorities, and human review visible throughout the design process.
Coverage lenses before generation
Define what matters for the flow, including happy paths, error handling, security, accessibility, responsiveness, and other relevant coverage dimensions.
Editable structured output
Review priorities, preconditions, steps, expected results, and suggested coverage improvements before approving the suite for downstream use.
Traceability back to intent
Keep test design connected to its source context so reviewers can understand why a case exists and what requirement or risk it addresses.
Explore QTXpert's AI quality engineering workflow
Continue with the product demo, review the security posture, or bring a real requirement and discuss where governed AI-assisted testing fits.