Illustrative engagement — describes the type of work we deliver; client details are withheld.
Business challenge
Each release needed a long manual regression cycle, which limited how often new features reached customers.
Existing environment
- Mostly manual test cases in spreadsheets
- Shared, unstable test environments
- Security checks done only before major releases
Technical challenges
- Test data for regulated scenarios
- Flaky UI tests
- Covering web, mobile and API layers
Our approach
- 1Prioritised critical customer journeys for automation
- 2Built API-first automated suites with stable test data
- 3Added UI and mobile tests for key journeys
- 4Integrated tests and code scanning into CI pipelines
Architecture overview
- APIREST Assured contract and functional suites
- UIPlaywright web and Appium mobile journeys
- PipelineGitHub Actions with parallel test stages
- Quality gatesSonarQube, dependency and security scanning
Technologies used
- Playwright
- REST Assured
- Appium
- GitHub Actions
- SonarQube
Implementation
- Phase 1
Assess
Coverage gaps and journey prioritisation
- Phase 2
Automate
API suites first, then UI and mobile
- Phase 3
Integrate
Quality gates on every pull request
- Phase 4
Sustain
Flaky-test tracking and team training
Results
- Regression feedback within the pipeline
- Higher confidence in each release
- Security scanning on every change
Business impact
The team can release smaller changes more often, with quality evidence attached to each build.