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AI QA Automation

Manual Testing
Is Costing You
Weeks.
Every Sprint.

Your QA team is running the same regression tests by hand, finding the same bugs too late, and blocking every release cycle. AI-powered test automation with Playwright and intelligent code generation runs your full test suite in minutes — not days — and catches issues before they reach production.

See How It Works ↓
AI QA AUTOMATION · PIPELINE
● RUNNING
TESTS RUN TODAY
4,847
Across 3 environments
PASS RATE
98.6%
▲ was 71% manual
SUITE DURATION
4m 12s
Was 3 days manual
PLAYWRIGHT TEST SUITE — LIVE RUN
checkout.flow.spec.ts
0.84s
PASS
user-auth.spec.ts
1.12s
PASS
invoice-generation.spec.ts
0.63s
PASS
job-dispatch.e2e.spec.ts
2.18s
RUNNING
api.integration.spec.ts
QUEUED
TEST COVERAGE — BY MODULE
Core flows
96%
API layer
88%
Integrations
74%
Mobile
61%
🤖
AI ANALYSIS 1 regression detected in payment-gateway.spec.ts — new discount code logic introduced in PR #341 breaks edge case where coupon + loyalty points applied simultaneously. Failing test written by AI from user story 3 days ago.
95%
Reduction in manual regression testing time after AI automation
10×
More test coverage from the same QA team headcount
AI
AI writes Playwright scripts from your user stories and flows
0 flaky
Smart wait strategies eliminate flaky test false failures

What is AI QA Automation?

AI QA automation uses machine learning and intelligent code generation to create, execute, and maintain automated test suites. It reduces manual testing effort, improves test coverage, and helps teams detect regressions earlier in the development cycle.
— The problem with manual QA

Manual testing doesn't scale. And it never did.

Every time your product grows — more features, more integrations, more edge cases — the manual test effort grows with it. Eventually QA becomes the bottleneck that slows every release. That's the problem AI automation solves.

🐢

Regression cycles block every release

Running a full regression manually takes 2–5 days for a mid-sized application. So every sprint ends with a QA bottleneck. Features are ready, engineers are waiting, and the release is blocked on testing that could be done in 4 minutes.
🎯

Humans miss things machines don't

Manual testers get tired, skip steps, and make assumptions. They miss the edge case that happens only when a specific combination of data conditions align. Automated tests run exactly the same way, every time, without fatigue or assumption.
💰

QA headcount scales with product complexity

Without automation, QA headcount is roughly proportional to product scope. Every new feature needs new manual test cases that someone has to run. With automation, one engineer maintains a suite that runs thousands of test cases in minutes.
🔥
Bugs reaching production that shouldn't
Regressions — bugs introduced by changes to existing code — are the most preventable category of production incident. They're also the most common. A regression test suite catches them at the commit stage, not after deployment.
📋

Test documentation that's always out of date

Manual test plans are living documents that nobody maintains. When the feature changes, the test plan isn't updated. Automated tests are the living documentation — they either run or they don't, and when they fail, you know exactly why.

QA engineers doing repetitive work

Your best QA engineers are running the same 200-step checkout flow for the 400th time. They should be writing new test scenarios, analyzing failure patterns, and improving coverage — not executing regression scripts manually.
— The tools we use

Playwright and Cypress — the two tools that changed everything

Modern test automation frameworks have solved the problems that made earlier tools painful — flaky tests, slow execution, poor browser support, and JavaScript-async handling. These are the two we deploy most, chosen based on your stack and requirements.

Playwright

by Microsoft · Our primary recommendation
Playwright is the test automation framework that changed the game. Built by Microsoft, it runs tests across Chromium, Firefox, and WebKit with a single API. It handles modern JavaScript-heavy SPAs natively — no brittle waits, no timing hacks, no flakiness from async rendering. And it's where AI code generation is most mature today.
Cross-browser — Chromium, Firefox, WebKit in one suite
AI-assisted test generation from user stories and Figma designs
Auto-wait — no manual sleep() or timing guesswork
Parallel execution — 4,000+ tests run in under 5 minutes
Visual screenshot comparison built in — pixel-perfect regression
Full tracing and video recording of failed tests
API testing alongside UI testing in the same framework
Primary recommendation for enterprise and SaaS

Cypress

For React / Next.js front-end heavy applications
Cypress runs in the same browser process as your application — which means it sees everything your app sees, in real time. For React and Next.js applications, Cypress component testing is exceptional — you can test individual components in isolation without a full browser session. Fast developer feedback loop, excellent debugging experience.
Component testing — React, Vue, Angular components in isolation
Real-time test execution visible in the browser
Time-travel debugging — step through any test failure
Network stubbing and API mocking built in
Excellent for CI/CD pipeline integration with GitHub Actions
Strong community and plugin ecosystem
Cypress Studio — record tests by clicking through the app
Recommended for React / Next.js front-ends
— The AI layer

AI doesn't just run tests. It writes them.

AI-Powered Test Generation

From user story
to working Playwright test
in seconds.

The most time-consuming part of test automation has always been writing the test scripts. AI changes this. Feed in a user story, a feature description, or a Figma design — AI generates the Playwright or Cypress test code. Our engineers review, refine, and commit. Test authoring time drops by 70–80%.
User story → AI generates test scenarios → engineers review and commit
API specification → AI generates integration test suite automatically
Failing test → AI diagnoses root cause and suggests fix
New feature PR → AI updates existing tests impacted by the change
Production bug → AI writes regression tests to prevent recurrence
checkout.flow.spec.ts — AI GENERATED
🤖 AI-written
// AI-generated from user story US-441
// "As a customer, I want to apply a discount
//  code at checkout and see the updated total"

import { test, expect } from '@playwright/test';

test.describe('Checkout — Discount Code Flow', () => {

  test('valid code reduces total correctly', async ({ page }) => {
    await page.goto('/checkout');
    await page.fill('[data-testid="discount-input"]', 'SAVE20');
    await page.click('[data-testid="apply-discount"]');

    await expect(page.locator('.discount-badge'))
      .toContainText('20% applied');
    await expect(page.locator('.order-total'))
      .toContainText('$64.00'); // was $80
  });

  test('expired code shows error, total unchanged', async ({ page }) => {
    await page.fill('[data-testid="discount-input"]', 'EXPIRED10');
    await page.click('[data-testid="apply-discount"]');
    await expect(page.locator('.error-msg'))
      .toBeVisible();
  });
});
— What we deliver

End-to-end QA automation services

🔄

Regression Test Automation

Full regression suite covering all critical user flows — written in Playwright or Cypress, integrated into your CI/CD pipeline. Every commit triggers a full suite run. Regressions caught before merge, not after deployment.
PlaywrightCI/CD IntegrationGitHub Actions
🤖

AI-Assisted Test Generation

Feed in user stories, API specs, or feature descriptions — AI generates the test code. Our engineers review, refine, and commit. Test authoring time reduced by 70–80% compared to writing manually.
AI Code GenPlaywrightLLM Integration
🔌

API & Integration Testing

Automated test coverage for every API endpoint — happy path, error handling, edge cases, auth, and rate limits. Playwright's built-in API testing layer means UI and API tests run in the same suite.
REST API TestingPlaywright APIContract Testing
📱

Mobile & Cross-Browser Testing

Playwright runs the same test suite across desktop Chrome, Firefox, Safari, and mobile viewports simultaneously. One suite, all browsers, no duplication — cross-browser coverage that would take weeks manually runs in minutes.
Cross-BrowserMobile ViewportsPlaywright
👁️

Visual Regression Testing

Pixel-perfect screenshot comparison catches unintended UI changes — broken layouts, missing components, CSS regressions — that functional tests miss entirely. Every UI change is compared against a verified baseline.
Visual ComparisonScreenshot DiffPlaywright

Performance & Load Testing

Automated performance benchmarks run alongside functional tests — page load times, API response times, Lighthouse scores. Alert when a code change degrades performance before it reaches users.
Lighthouse CIk6 Load TestingPerformance Budgets
— The transformation

What changes when QA is automated with AI

● Before — Manual QA

How your team works today

Full regression takes 2–5 days — blocks every release
QA testers run the same flows repeatedly, every sprint
Bugs missed due to human fatigue, assumption, and time pressure
No test coverage for edge cases — only happy paths
Regression bugs reach production regularly
Test documentation always out of date
Cross-browser testing takes an extra day manually
QA team morale low from repetitive, unrewarding work
✦ After — AI QA Automation

How your team works after

Full regression runs in 4–8 minutes on every commit
QA engineers write new scenarios and analyse patterns
Machines run 4,000+ test cases exactly the same way every time
AI generates edge case tests from user stories automatically
Regressions caught at PR stage — never reach production
Tests are the living documentation — always current
Chromium, Firefox, and WebKit tested simultaneously
QA team focused on strategy, coverage, and quality culture
— Proof

QA automation we've deployed

QA Automation · Print SaaS · Playwright
PrintPlanr — Full Regression Suite Cutting Release Cycles from Days to Minutes
95%
Manual testing eliminated
3 days → 6min
Regression cycle time
PrintPlanr's production environment handles job creation, press scheduling, prepress, finishing, and invoicing — a complex workflow with multiple integration points. AI-generated Playwright test suite covers 96% of core flows. Every deploy triggers a full regression in under 6 minutes. The release cycle that used to require 3 days of QA now happens on every merge.
Playwright · AI Code Gen · GitHub ActionsLearn more →
QA Automation · Service Management Platform · In Progress
Enterprise Service Management Platform — Automated Testing at ServiceNow Scale
In
Active deployment
2,000+
Test scenarios being built
A complex enterprise service management platform — comparable in scope to ServiceNow — with ticketing, workflow automation, approval chains, SLA management, and multi-tenant access control. Manual testing at this complexity was taking 3 weeks per release cycle. We're building a Playwright + AI test suite targeting 2,000+ automated scenarios across all modules.
Playwright · Cypress · AI Gen · In ProgressDeploying now →
QA Automation · Field Service Management · Upcoming
Field Service Management System — Next Deployment
Next
QA deployment
Mobile +
Web + API coverage
A field service management platform serving enterprise clients — work orders, technician dispatch, mobile app, inventory, and billing. The QA challenge: a React Native mobile app alongside the web platform and a complex API layer. Our next Playwright + mobile automation deployment will cover web, API, and mobile flows in a unified suite.
Playwright · React Native Testing · UpcomingEnquire about early access →
🚀
Growing QA practice
We're building our QA automation portfolio — and offering preferred pricing for early engagements
If you're evaluating QA automation, now is a good time to talk to us. We're actively building this practice, our engineers are hands-on with Playwright and AI code generation daily, and we're offering preferred rates for the next few QA automation projects we take on.
Still relying on manual testing?
Let us show you what AI automation looks like on your stack.
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