AlloyQA keeps each story aligned through requirement review, QA coverage, implementation checks, and browser verification—so gaps surface before they become late rework.
QA teams spend too much time preparing and repeating checks, only to find mismatches late.
Teams reread stories, rebuild coverage, compare implementation, and repeat browser checks. Too much time goes into preparation while mismatches surface late.
AlloyQA carries approved decisions forward, prepares coverage, checks implementation, and runs the browser checks selected for the story. The team reviews what needs human judgment.
As the story moves, AlloyQA performs the QA work configured for each stage.
Decisions made during refinement become QA coverage, implementation checks, and browser verification. When the story changes, AlloyQA shows what needs to be reviewed again.
Follow the story to verificationBefore AlloyQA prepares coverage or checks delivery, it looks for the workflows, permissions, business rules, and failure cases the story needs to define.
When a ticket enters the testing stage configured by your team, AlloyQA runs the approved browser checks selected for that story, captures evidence, and shows what passed, what differed, and what needs human review.
Each run ends as Verified, Observed Issue, Needs QA Review, or Run Issue. Product mismatches stay separate from technical execution failures.
Expected: $19.99 · Observed: $29.99
Move through requirement review, QA coverage, browser verification, and evidence-backed bug creation.
AlloyQA shifts the focus from the quality of the code to the quality of the work item. Many production issues originate from assumptions that were never surfaced before development began.
The ticket gets refined once, not three times.
The analysis engine did a fantastic job spotting the gaps. It flagged precise questions around security protocols, load metrics, fallback behavior, and design breakpoints.
Connect the systems your team already uses. AlloyQA uses them to trigger QA work, carry approved context forward, and return results to the story.
Identify affected decisions, acceptance scenarios, regression cases, implementation checks, and browser verification when requirements change.
Reuse team-confirmed decisions, recurring QA patterns, and relevant incidents without turning unapproved suggestions into policy.
Ticket and test-case updates need approval before write-back. Implementation comments and browser results are posted only through the workflows your team configures. Every suggestion can be accepted, adjusted, or ignored.
View security and data handling →Start with one story. AlloyQA surfaces unresolved decisions, prepares QA coverage, checks implementation, and runs selected browser checks while your team stays in control.
