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QA automation services
We design, implement and maintain automated test suites around the workflows your product and revenue depend on. Critical journeys such as registration, checkout, billing and account access are tested continuously, with results integrated directly into your development and release process.
What our QA automation services cover
Each testing layer protects against a different category of risk. We select the appropriate combination based on your architecture, release process and the business impact of a failure.
Web application testing
We automate the user journeys that matter most, from authentication and account management to checkout and payment. Tests run in real browsers and validate outcomes from the user's perspective rather than relying only on internal page structure.
API and contract testing
We test endpoint behaviour, error handling, permissions and data integrity. Contract tests verify that independently developed services continue to work together as teams release changes.
Mobile application testing
We automate critical iOS and Android workflows across emulators, simulators and real devices. Coverage can include permissions, offline behaviour, interrupted sessions and upgrades from earlier application versions.
Mobile app developmentPerformance and load testing
We model realistic traffic patterns before launch, major campaigns and expected demand peaks. Response times, throughput and error rates are measured against agreed performance targets.
Accessibility and visual regression testing
Automated accessibility checks identify common WCAG issues, while visual comparison tools highlight unintended interface changes. Findings that require judgement remain subject to manual review.
Test strategy and automation audits
We assess the current testing process, identify high-risk gaps and determine which checks should be automated first. The result is a practical automation roadmap aligned with your product and release priorities.
When QA automation creates the most value
Companies typically involve us when manual regression work is slowing delivery, the existing suite has become unreliable or product risk has grown beyond what the current process can control.
Manual regression delays every release
Repeated checks take days to complete, encouraging larger and less frequent releases and increasing the cost of every change.
The work
- The most repeated checks automated first
- A regression suite that runs overnight
- Manual testing kept for new features
Bugs in revenue-critical workflows
Problems in registration, checkout or billing are discovered in production, often by customers rather than internal monitoring.
The work
- Paid flows covered end to end
- Payment providers tested in sandbox mode
- Scheduled checks against production
The team no longer trusts the automated suite
Tests fail intermittently, developers rerun them until they pass and genuine regressions become difficult to distinguish from test instability.
The work
- Flaky tests found from run history
- Each one fixed, quarantined or deleted
- Merges blocked by a failing test again
Refactoring is constrained by missing coverage
Engineers avoid improving legacy code because there is no reliable way to confirm that existing behaviour has been preserved.
The work
- Characterisation tests on current behaviour
- API behaviour pinned before a rewrite
- Coverage added where changes are planned
Multiple teams contribute to the same release
Services change independently, and integration problems appear late because ownership and testing are distributed across several teams.
The work
- Contract tests between services
- One staging suite run per release
- Failures routed to the owning team
Customers or auditors require evidence of testing
Enterprise buyers, regulators or investors need proof that defined requirements are tested consistently before each release.
The work
- Test reports kept for every release
- Each requirement traced to its tests
- Security and accessibility scans in CI
From product risk to a test suite the team can trust
Our QA automation process begins with the cost and likelihood of failure.
- 01
Product risk assessment
We review critical user journeys, sensitive data flows, recent incidents and recurring defects. These risks are ranked according to business impact and probability.
Inputs: incident history, defect reports and release priorities - 02
Test strategy
We determine which risks require unit, API, contract, end-to-end or manual testing. Slower and more expensive tests are reserved for workflows that justify them.
Deliverables: test pyramid, coverage map and automation roadmap - 03
Framework and environment setup
We establish the appropriate framework for each testing layer, create repeatable test data and connect environments that reflect production closely enough to produce reliable results.
Typical tools: Playwright, Appium and API testing frameworks - 04
Test implementation
Automated tests are written from acceptance criteria and prioritised according to the risk map. Each test validates a meaningful user or business outcome.
Typical components: page objects, API clients and reusable test data - 05
CI integration and release gates
Fast checks run on every pull request, broader suites run before release and confirmed failures block the relevant merge or deployment.
Typical tools: GitHub Actions and GitLab CI - 06
Maintenance and continuous improvement
New tests are added as the product evolves, obsolete tests are removed and suite health is monitored over time. This keeps automation aligned with the product rather than allowing it to become a separate legacy system.
Deliverables: suite health reporting and maintenance ownership
Where we can join your quality engineering process
We can introduce the first automated suite, restore confidence in an existing one, embed QA automation within a product build or provide dedicated quality engineering capacity.
Build the first automated regression suite
We identify the highest-value workflows, select the frameworks and implement the first tests in CI for a product currently tested primarily by hand.
Stabilise and improve an existing suite
We address slow and unreliable tests first, then close the most important gaps across high-risk workflows. The objective is to restore trust before adding more coverage.
Integrate QA automation into product development
QA engineers work in the same iterations as the development team, translating acceptance criteria into tests while features are being built.
Add QA engineers to a dedicated or internal team
Our specialists can join a dedicated ImproveIT team or work within your existing engineering organisation under your delivery model and technical direction.
Dedicated development teamsBroader coverage through AI-assisted quality engineering
Coding agents help our QA engineers prepare test cases, page objects, test data and diagnostic summaries more efficiently. Senior specialists remain responsible for deciding which scenarios are relevant, whether a test proves the intended behaviour and whether a failure should block a release.
AI-native product developmentMore edge cases considered before release
Coding agents can propose variations such as expired sessions, duplicate submissions, missing data and interrupted payments. QA engineers select the scenarios that reflect credible product and user risks.
Flaky tests investigated at the source
Agents can compare repeated runs, logs and timing patterns to help locate instability. Engineers then resolve the underlying data, environment or synchronisation problem instead of masking it with additional retries.
Generated tests validated against known defects
AI-assisted tests are reviewed by a QA engineer and checked against deliberately introduced defects where appropriate. A test is retained only when it can detect the failure it was designed to prevent.
Technology stack for QA automation
We work in the languages, repositories and CI environments already used by your engineering team. The selected tools must fit the product architecture and remain understandable to the people who will maintain the suite.
Web end-to-end testing
We automate user journeys across modern browser engines and can continue working with established Cypress or Selenium suites where they remain appropriate.
- Cypress
- Selenium
API and contract testing
We validate endpoint behaviour and service contracts in code, using controlled test data and recorded responses where third-party dependencies need to be isolated.
- Postman
- REST Assured
- Pact
Mobile application testing
We combine platform-native automation with cross-platform tools and device clouds, based on the application architecture and device coverage required.
- XCUITest
- Espresso
- BrowserStack
Performance and load testing
We create repeatable traffic models for normal use, expected peaks and failure conditions, then integrate the relevant checks into release planning.
- k6
- JMeter
Test effectiveness and code coverage
Coverage reporting shows which code has been executed by tests, while mutation testing helps demonstrate whether the suite can detect meaningful defects.
- Stryker
- PIT
Accessibility and visual testing
Automated checks identify common accessibility issues and unintended visual changes, supplemented by manual keyboard and screen-reader review where required.
- axe
- Percy
Questions clients ask us about QA automation
How much do QA automation services cost?
Cost depends on the number and complexity of the workflows you want to automate, the platforms involved, and the current state of your test environments. We start with a risk assessment to identify where automation will have the greatest impact. From there, we provide a written scope, recommended implementation plan, timeline, and estimate. This keeps the budget focused on tests that reduce meaningful release risk, rather than increasing coverage for its own sake.
When does QA automation start paying off?
Teams usually see the first benefits once repetitive regression checks for stable, business-critical workflows are automated. These tests reduce manual effort and give developers faster feedback on every change. Over time, the return becomes more significant through shorter release cycles, fewer production issues, and greater confidence when updating existing functionality.
Which testing tools do you use?
We use Playwright, Cypress, and Selenium for web applications; Postman, REST Assured, and Pact for API and contract testing; Appium, XCUITest, and Espresso for mobile products; k6 and JMeter for performance testing; and axe and Percy for accessibility and visual regression testing. We select the stack based on your product architecture, programming languages, existing test coverage, and CI environment.
Should developers or QA engineers write automated tests?
Both should contribute, but they typically own different testing layers. Developers usually handle unit and component tests close to the code. QA engineers focus on product behavior across services, platforms, and complete user journeys. The most effective approach defines clear ownership across the test pyramid instead of assigning all quality responsibilities to one role or team.
Will automation replace manual testing?
No. Automation works best for repeatable checks with clear expected results. Manual testing remains important for new features, exploratory testing, usability, and scenarios that require human judgment. A strong QA strategy combines both approaches and uses each where it delivers the most value.
Who maintains the automated tests after implementation?
Our QA engineers can continue maintaining the suite, or we can transfer ownership to your internal team. The tests remain in your repository, along with documentation covering the framework, conventions, and process for adding new coverage. We define the maintenance model during implementation so ownership remains clear as the product evolves.
Can you test mobile applications on real devices?
Yes. We combine simulators and emulators with physical devices and cloud-based testing platforms such as BrowserStack. The device matrix is based on your user base, supported operating systems, application behavior, and the business impact of device-specific issues.
Additional expertise for a more reliable release process
QA automation works best when the surrounding delivery process is just as dependable. We can also improve your CI infrastructure, stabilize an AI-built application, or provide QA automation as part of a broader product team.
Discuss your QA automation priorities
During the initial consultation, we review your product architecture, release process, current testing approach, and the failures that create the greatest business or operational risk.
Based on that context, we identify the workflows that should be automated first and prepare a preliminary scope, implementation plan, timeline, and estimate. If part of your testing process is better handled manually, we will make that clear instead of recommending automation where it adds little value.
- 1Product, release process, and risk review
- 2Prioritized automation scope and preliminary estimate
- 3Discovery kickoff within one week
We sign an NDA before discussing anything in detail. We reply within 24 hours.