QA Automation · AI Generated Test Scaffolding

QA automation that ships with the code, not after it

We build risk based test pyramids using Playwright, Vitest, Postman/Newman, k6, SIPp, and axe. AI scaffolds the boilerplate so senior QA engineers spend their hours on edge cases, contract tests, and load profiles that matter. 80%+ coverage from day one is the floor, not the ceiling.

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RG INSYS designs and operates QA automation programmes for web apps, mobile apps, APIs, and VoIP platforms. We treat the test suite as a deliverable that protects revenue, not a tax on engineering. Coverage targets, flake budgets, and performance thresholds are agreed before the first test is written.

What we deliver: A maintained Playwright/Vitest/Postman/k6 test suite wired into your CI, plus a written test strategy, a flake dashboard, and weekly quality reports.
Typical timeline: 2 weeks for an audit and first automated suite, 6–12 weeks to reach 80%+ coverage on a mature codebase.
Pricing from: $4,000/month retainer or fixed price projects from $6,000.
Stack: Playwright, Vitest, Jest, Postman/Newman, k6, Locust, SIPp, axe-core, Percy, GitHub Actions.
Compliance-ready for: HIPAA, GDPR, SOC 2, PCI DSS, WCAG 2.2 AA accessibility.

What's included

Everything you need, end to end

🧱

Risk based test pyramid

Most teams over invest in slow end to end tests and under invest in fast unit tests. We design a pyramid that fits your risk profile: heavy unit coverage on business logic, integration tests on boundaries, focused E2E on revenue critical journeys.

🎭

Playwright end to end

Cross browser E2E suites in TypeScript. Page object models, network mocking, parallel sharding, and trace based debugging. Auth state reuse and seeded test data so a 200 test suite runs in under 10 minutes on a standard runner.

⚡

Vitest and Jest unit tests

Fast unit and component tests with React Testing Library, MSW for HTTP mocking, and Istanbul/V8 coverage reports. AI generates the first pass; senior engineers harden assertions and add the negative cases the AI tends to miss.

🔌

API and contract tests

Postman collections committed to git and run in CI via Newman. Contract testing with Pact for microservices boundaries. OpenAPI driven schema validation so a breaking change in a downstream service fails a pull request, not production.

📈

Load and performance

k6 and Locust scripts that mirror real traffic shape, not synthetic round trips. Stress, soak, and spike profiles. Latency and error budgets defined per endpoint, with Grafana dashboards and Slack alerts on regression.

📞

VoIP and accessibility

SIPp scenarios for call setup, transfer, codec negotiation, and RTP impairment. axe-core baked into every Playwright run for WCAG 2.2 AA. Visual regression via Playwright snapshots or Percy for design critical surfaces.

Our method

How QA automation actually unfolds

Audit and strategy

One week. We read the codebase, map the riskiest user journeys, agree coverage and flake budgets, and produce a written test strategy you can hand to any auditor.

Scaffold with AI

Claude Code and Cursor generate the first pass of unit, integration, and E2E tests directly from the existing code and OpenAPI specs. Reviewer keeps what is correct, deletes the rest.

Wire into CI

Suite runs on every pull request and main merge. Coverage gates, flake quarantine, and a single results dashboard. P1 regressions fail the build automatically.

Maintain and harden

Weekly quality report, monthly flake review, quarterly load profile refresh. The suite evolves with the product so it stays fast and stays trusted.

Our tech stack for QA automation

The right tool depends on the layer being tested and the risk being mitigated. We pick boring, well documented frameworks that your team can take over without a six month learning curve. Everything here is open source unless you specifically need an enterprise reporting tier.

Playwright Vitest Jest React Testing Library Postman / Newman Pact (contract) k6 Locust SIPp (VoIP) axe-core Percy / Playwright snapshots GitHub Actions

Proof

A representative case study

Insurance · AI Document Processing UK insurance platform, regulated workflow

From zero automated tests to 84% coverage and a green CI pipeline in 10 weeks

An AI document processing platform for an insurance client had grown to 90k lines of TypeScript with no automated tests and a manual QA team that could only validate a single release per fortnight. RG INSYS rebuilt the test pyramid using Playwright, Vitest, and Newman, scaffolded by Claude Code, hardened by two senior QA engineers, and wired into GitHub Actions. Defect escape rate dropped sharply within the first release cycle.

84%Line coverage

10 wksTo stable green

<1%Flake rate

4×Release frequency

Read full case study →

Pricing

Transparent pricing

From $4,000/month

Senior QA engineer plus AI tooling, dedicated to your suite. Fixed price projects from $6,000.

2 week audit and strategy: $2,000 fixed
Initial Playwright + Vitest suite: from $6,000
Ongoing QA retainer: from $4,000/month
Dedicated QA engineer: from $2,400/month

Full pricing & engagement models →

Transparent. No hidden fees. Free 48-hour estimate.

FAQ

Common questions

What coverage target do you commit to?

We target 80%+ line and branch coverage on backend services and 70%+ on frontend components by default. For regulated systems we go higher and instrument mutation testing to verify the tests actually catch bugs, not just touch lines.

Can you start with an existing codebase that has no tests?

Yes. Most engagements begin that way. We start with a one week audit, agree the risk based test pyramid, and then use Claude Code and Cursor to scaffold characterisation tests around the highest risk modules first so the test suite begins protecting revenue from week two.

Do you replace our existing QA team or work alongside them?

Both models are common. We frequently sit alongside an in house manual QA team, taking over automation, CI, and load while they continue exploratory and acceptance testing. We never gate releases behind ourselves.

How do you handle flaky tests?

Flake is a defect class, not a fact of life. We instrument retries with stable identifiers, use Playwright traces for root cause, isolate state between tests, and run the suite on a stable container image. Any flake rate above 1% triggers a Jira ticket the same day.

Do you test VoIP and telephony platforms?

Yes. SIPp scenarios for call setup, transfer, hold, and codec negotiation, plus RTP loss and jitter simulation. We have built FreeSWITCH and Asterisk test harnesses for several telecom clients across the last 7 years.

What about accessibility testing?

axe-core runs in every Playwright suite by default. We treat WCAG 2.2 AA as a hard quality gate for UK and EU clients. Critical violations fail the build the same way a unit test failure does.

Can you run the suite in our CI?

Yes. GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins, Azure DevOps, CircleCI, all supported. We can also self host runners inside your VPC if your test data cannot leave your network.

How is this priced?

Fixed price projects start at $6,000 for a focused engagement. Monthly QA retainers start at $4,000 covering a senior QA engineer plus AI tooling. Dedicated QA engineers can also be hired from $2,400/month, see the Hire Developers page.