Find the bugs. Let AI write the paperwork.
Test cases, bug reports and UAT coordination handled at machine speed, so you hunt what actually breaks.
Where the hours actually go.
Writing cases from vague requirements
Every user story needs positive, negative and edge cases extracted from half a paragraph and a Figma link. The thinking is yours; the typing is endless.
Bug reports developers accept
Repro steps, environment, expected versus actual, screenshots. A sloppy report bounces back and the bug lives another sprint.
Regression before every release
The same hundred checks each cycle, tracked in spreadsheets. Manual regression is where sprint weeks disappear.
UAT herding
Business users test late, report issues in WhatsApp voice notes and sign off slower than the release needs.
Your toolkit inside kiap.ai
Live today inside the super app, or being built on the same API. Everything AI drafts, you approve.
Test case generator
Expands each user story into structured positive, negative and edge cases. You prune the over-eager ones and add the traps only you know.
Bug report formatter
Turns your rough notes and screenshots into a developer-ready report: steps, environment, expected, actual, severity.
Regression checklist builder
In the worksMaintains the regression suite from past defects and new features, so known bugs never slip twice.
UAT portal
Business users test against structured scenarios, log issues in the right format and sign off digitally, not by voice note.
Defect trend reports
Escape rates, flaky areas and regression counts per release, ready for the sprint retro without a spreadsheet session.
Release focus notes
Drafts what changed and where testing should concentrate from the merged tickets each sprint.
A day with AI doing the busywork.
New sprint stories already expanded into draft test cases. Prune, sharpen, add the nasty edge cases.
Found a bug in staging. Voice-note the repro and AI formats the report before your kopi goes cold.
Regression run for tomorrow's release: checklist updated, known-flaky areas flagged from last cycle.
UAT chasing is automatic. Business users logged three issues in proper format instead of voice notes.
Questions qa engineers actually ask.
Will AI replace QA engineers?
No. Exploratory testing, risk judgement and knowing where systems break under real user behaviour stay human. AI writes the cases and reports around the hunt; the hunt is yours.
Does it help with automation or only manual testing?
Both. It drafts structured cases for manual runs and skeleton cases your automation framework can build on. Your Cypress or Playwright setup stays yours.
How does UAT sign-off work?
Business users test against structured scenarios in the portal, attach evidence and sign off digitally. You get a clean record instead of a chat thread.
Does it work for mobile apps?
Yes. Test cases can cover device and OS matrices, and UAT scenarios work for app releases the same way they do for web.
Is this for solo QA in a small team?
Especially. When one person owns quality for the whole squad, the hours saved on case writing and reporting are the difference between coverage and hope.
Keep the craft. Drop the admin.
See your toolkit running inside kiap.ai. One call, a real walkthrough, no pressure.