Detailed comparison

Your QA team today vs with AutoQALabs.

What we add to an in-house QA team, area by area: automation, regressions, reviews, coverage, test plans, CI/CD and releases. Every screenshot comes from real work.

Works with your team
Works in your tools
Real screenshots

At a glance

We do not replace your QA team. We take on the work it rarely has time for.

Area	Your QA team today	With AutoQALabs
Automation	Automation waits until someone has time	Your test cases automated, in your repository
Regressions	A manual pass that takes days, often cut short	Every test on every change, flaky tests fixed
Reviews	One-line tickets developers have to decode	Steps, evidence and confidence, reviewed by a QA engineer
Test case coverage	Coverage nobody can describe	Coverage listed per area, gaps written down
Test plans	In someone's head, or out of date	Risk-rated plan built from a map of your app
CI/CD pipelines	Run on a laptop, if at all	Set up in GitHub Actions, Jenkins or Azure DevOps
Faster releases	Releases wait on QA sign-off	One report your team reads in a minute

Automation

Test cases become automated tests in weeks, not quarters

Your QA team today

Test cases live in a spreadsheet or a test tool and are run by hand.
Automation is a side project that slips whenever a release is late.

With AutoQALabs

We automate your test cases in Playwright, Cypress or Selenium, in your repository.
AI drafts the tests and a QA engineer reviews each one, so you get speed without guesswork.
On our demo store, the AutoQA Agent wrote 34 tests in 17 minutes.

A Playwright test file, cart.spec.ts, with tests for shipping charges below and just under the free shipping threshold. — A test from the demo-store suite. Page objects keep it readable, and money values are recomputed from the catalogue prices, not copied from the page.

Regressions

The full regression suite on every change, in under a minute

Your QA team today

A full regression pass is manual and takes days.
When a release is late, regression is what gets cut, and old bugs come back.

With AutoQALabs

The whole suite runs on every change. The demo store's 34 tests run in about 40 seconds.
Every new test is run 3 times before handover, so flaky tests are fixed before they reach you.
When your app changes, we update the tests, so a failure always means something.

Playwright HTML report: 34 tests, 34 passed, 0 failed, 0 flaky, total time 40.6 seconds. — The Playwright report for the demo-store suite: 34 of 34 passed, 0 flaky, in 40.6 seconds.

Reviews

Every bug report is reviewed and ready to act on

Your QA team today

Bugs arrive as one-line tickets, and developers spend time working out how to reproduce them.
Nobody reviews the tests themselves, so weak checks pass quietly.

With AutoQALabs

Every finding has steps to reproduce, expected and actual results, evidence and a confidence rating.
A QA engineer reviews each test case and bug report before it reaches your tracker.

Bug report BUG-01 with severity, area, environment, steps to reproduce, expected and actual results. — One of the 2 bugs found on the demo store, written up with steps, expected and actual results and evidence.

Test case coverage

You can see exactly what is covered, and what is not

Your QA team today

Coverage grows wherever someone happened to write a test.
Nobody can say for sure which flows are protected and which are not.

With AutoQALabs

Coverage is listed area by area, down to edge cases such as shipping at $49 and at $50.
Desktop and mobile are both covered, and anything left out is written down with the reason.

Coverage table listing six spec files with their test counts and what each covers. — The coverage table from the demo-store report: 31 tests on desktop Chrome and 3 on a mobile phone.

Test plans

A written test plan, ordered by risk

Your QA team today

The plan lives in one person's head, or in a document that stopped matching the app months ago.
Everything gets the same attention, so the risky paths get no more than the rest.

With AutoQALabs

We map your application's journeys first, then write the plan from that map.
Each journey is rated by impact and likelihood, so payment and checkout are tested before the 404 page.

Test plan with a risk rating table: eight journeys rated by impact, likelihood and risk. — The demo store's test plan: eight journeys, each rated by impact and likelihood before any test is written.

CI/CD pipelines

Tests that run in your pipeline, on every pull request

Your QA team today

Tests run on a tester's machine, when there is time.
The pipeline only checks that the code builds, not that the product works.

With AutoQALabs

We set the suite up in GitHub Actions, Jenkins or Azure DevOps, on every pull request or on a schedule.
Reports and traces are saved with each run, so a failure can be checked without running it again.

GitHub Actions workflow file with an end-to-end and accessibility job that installs Playwright and runs the suite. — The pipeline that tests this website: Playwright end-to-end and accessibility tests on every push and pull request.

Faster releases

Release decisions in minutes, with fewer hand-offs

Your QA team today

Releases wait for QA sign-off, and QA waits for a stable build. Each hand-off adds days.
The release call depends on who tested what, and how they remember it.

With AutoQALabs

Each run ends in one report: tests, passes, failures, flaky tests and bugs.
Your team sees the state of the release at a glance and decides without a meeting.

AutoQA report header: 34 tests, 34 passed, 0 failed, 0 flaky in 3 runs, 2 bug reports. — The top of the demo-store run report: 34 tests, 34 passed, 0 failed, 0 flaky in 3 runs, and 2 bug reports.

Screenshots come from the AutoQA Agent's run on our demo store and from this website's own CI pipeline. Your results will depend on your application.

See our services

Detailed comparison

Your QA team today vs with AutoQALabs.

What we add to an in-house QA team, area by area: automation, regressions, reviews, coverage, test plans, CI/CD and releases. Every screenshot comes from real work.

Works with your team
Works in your tools
Real screenshots

At a glance

We do not replace your QA team. We take on the work it rarely has time for.

Area	Your QA team today	With AutoQALabs
Automation	Automation waits until someone has time	Your test cases automated, in your repository
Regressions	A manual pass that takes days, often cut short	Every test on every change, flaky tests fixed
Reviews	One-line tickets developers have to decode	Steps, evidence and confidence, reviewed by a QA engineer
Test case coverage	Coverage nobody can describe	Coverage listed per area, gaps written down
Test plans	In someone's head, or out of date	Risk-rated plan built from a map of your app
CI/CD pipelines	Run on a laptop, if at all	Set up in GitHub Actions, Jenkins or Azure DevOps
Faster releases	Releases wait on QA sign-off	One report your team reads in a minute

Automation

Test cases become automated tests in weeks, not quarters

Your QA team today

Test cases live in a spreadsheet or a test tool and are run by hand.
Automation is a side project that slips whenever a release is late.

With AutoQALabs

We automate your test cases in Playwright, Cypress or Selenium, in your repository.
AI drafts the tests and a QA engineer reviews each one, so you get speed without guesswork.
On our demo store, the AutoQA Agent wrote 34 tests in 17 minutes.

Regressions

The full regression suite on every change, in under a minute

Your QA team today

A full regression pass is manual and takes days.
When a release is late, regression is what gets cut, and old bugs come back.

With AutoQALabs

The whole suite runs on every change. The demo store's 34 tests run in about 40 seconds.
Every new test is run 3 times before handover, so flaky tests are fixed before they reach you.
When your app changes, we update the tests, so a failure always means something.

Reviews

Every bug report is reviewed and ready to act on

Your QA team today

Bugs arrive as one-line tickets, and developers spend time working out how to reproduce them.
Nobody reviews the tests themselves, so weak checks pass quietly.

With AutoQALabs

Every finding has steps to reproduce, expected and actual results, evidence and a confidence rating.
A QA engineer reviews each test case and bug report before it reaches your tracker.

Test case coverage

You can see exactly what is covered, and what is not

Your QA team today

Coverage grows wherever someone happened to write a test.
Nobody can say for sure which flows are protected and which are not.

With AutoQALabs

Coverage is listed area by area, down to edge cases such as shipping at $49 and at $50.
Desktop and mobile are both covered, and anything left out is written down with the reason.

Test plans

A written test plan, ordered by risk

Your QA team today

The plan lives in one person's head, or in a document that stopped matching the app months ago.
Everything gets the same attention, so the risky paths get no more than the rest.

With AutoQALabs

We map your application's journeys first, then write the plan from that map.
Each journey is rated by impact and likelihood, so payment and checkout are tested before the 404 page.

CI/CD pipelines

Tests that run in your pipeline, on every pull request

Your QA team today

Tests run on a tester's machine, when there is time.
The pipeline only checks that the code builds, not that the product works.

With AutoQALabs

We set the suite up in GitHub Actions, Jenkins or Azure DevOps, on every pull request or on a schedule.
Reports and traces are saved with each run, so a failure can be checked without running it again.

Faster releases

Release decisions in minutes, with fewer hand-offs

Your QA team today

Releases wait for QA sign-off, and QA waits for a stable build. Each hand-off adds days.
The release call depends on who tested what, and how they remember it.

With AutoQALabs

Each run ends in one report: tests, passes, failures, flaky tests and bugs.
Your team sees the state of the release at a glance and decides without a meeting.

Screenshots come from the AutoQA Agent's run on our demo store and from this website's own CI pipeline. Your results will depend on your application.

See our services