- Client Challenge
- Large regression suite with high maintenance effort; UI changes broke dozens of tests every sprint.
- Existing Process
- Manually written UI scripts, fixed by hand after each release; long regression cycles.
- Solution
- AI-assisted test generation + self-healing automation, with API checks replacing slow UI steps.
- Technologies
- Playwright + AI + API + CI/CD
- Implementation
- Suite assessment → locator strategy → AI-generated tests reviewed by the team → self-healing layer → pipeline integration.
- Results
- Reduced maintenance effort and improved regression coverage.
- Business Impact
- Faster, more predictable releases; testers freed to focus on exploratory and edge-case testing.
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Case Studies
How we solve real quality problems
Each engagement follows the same disciplined path – and ends with a team that owns the result.
Client Challenge→Existing Process→Solution→Technologies→Implementation→Results→Business Impact
- Client Challenge
- Regression done fully manually; release dates driven by test effort.
- Existing Process
- Spreadsheet test cases, manual execution before every release.
- Solution
- Risk-based automation roadmap and a maintainable hybrid framework.
- Technologies
- Java, Selenium, TestNG, Cucumber, Rest Assured, Jenkins
- Implementation
- Prioritise high-value flows → build framework → automate in sprints → nightly Jenkins runs.
- Results
- Critical regression automated and running unattended.
- Business Impact
- Shorter release cycles and earlier defect detection.
- Client Challenge
- Slow and flaky Selenium suite blocking the pipeline.
- Existing Process
- Sequential runs, explicit waits everywhere, frequent re-runs to get a green build.
- Solution
- Phased migration to Playwright with auto-waiting, fixtures and parallel execution.
- Technologies
- Playwright, TypeScript, Playwright API testing, GitHub Actions
- Implementation
- Pilot module → shared fixtures and page objects → migrate module by module → retire old suite.
- Results
- Faster, more stable test runs with far fewer re-runs.
- Business Impact
- Reliable pipeline feedback that developers trust.
- Client Challenge
- Business logic tested only through the UI; slow feedback and late defects.
- Existing Process
- Ad-hoc Postman checks without assertions or CI.
- Solution
- BDD-style API automation framework with contract and data-driven tests.
- Technologies
- Rest Assured, Cucumber, Postman/Newman, Karate, Jenkins
- Implementation
- API inventory → framework → critical endpoints automated → CI gating on every build.
- Results
- Defects found at the API layer before UI testing starts.
- Business Impact
- Lower cost of defects and faster integration testing.
- Client Challenge
- Unknown system behaviour under peak traffic ahead of a major launch.
- Existing Process
- No workload model; performance checked informally.
- Solution
- Workload modelling, load/stress/soak tests and bottleneck analysis.
- Technologies
- JMeter, Gatling, monitoring dashboards
- Implementation
- Model peak traffic → script key journeys → staged load tests → tune and re-test.
- Results
- Bottlenecks identified and fixed before go-live.
- Business Impact
- Confident launch with a known capacity limit.
- Client Challenge
- Automation existed but ran manually on individual laptops.
- Existing Process
- No shared execution environment or reports.
- Solution
- Containerised test execution integrated into the CI/CD pipeline.
- Technologies
- Jenkins / GitHub Actions / Azure DevOps, Docker, Selenium Grid on Kubernetes
- Implementation
- Dockerise tests → grid setup → pipeline stages with quality gates → shared reports.
- Results
- Automated tests run on every build with visible reports.
- Business Impact
- Quality becomes part of delivery, not a separate phase.
- Client Challenge
- Frequent UI changes causing broken locators and false failures.
- Existing Process
- Engineers manually updated locators after every UI release.
- Solution
- Resilient locator strategy plus AI-based self-healing with human review of healed steps.
- Technologies
- Selenium / Playwright, AI-assisted locator recovery
- Implementation
- Locator audit → stable test-ids with developers → healing layer → healed-step reporting.
- Results
- Far fewer false failures from UI changes.
- Business Impact
- Less time fixing tests, more time testing.
- Client Challenge
- Limited time for exploratory testing of new features.
- Existing Process
- Exploratory testing squeezed in at the end of each sprint.
- Solution
- AI test agent that explores flows, suggests test ideas and drafts bug reports for human triage.
- Technologies
- Python, LLMs, MCP browser tooling, Playwright
- Implementation
- POC on one module → guardrails and review workflow → rollout to more modules.
- Results
- More scenarios explored per sprint with testers in control.
- Business Impact
- Earlier discovery of usability and edge-case issues.
- Client Challenge
- Organisation needed a consistent automation skill level across several QA teams.
- Existing Process
- Self-learning and uneven skills between teams.
- Solution
- Role-based learning paths with assessments and progress reporting for L&D.
- Technologies
- Java/Python, Selenium, Playwright, API testing, CI/CD
- Implementation
- Pre-assessment → batch-wise instructor-led training → capstone project → post-assessment.
- Results
- Measured skill improvement between pre- and post-assessment.
- Business Impact
- Teams able to contribute to automation from the next sprint.
- Client Challenge
- Manual-heavy QA team needed automation skills without pausing delivery.
- Existing Process
- All testing manual; automation outsourced or missing.
- Solution
- Assessment → custom curriculum → project-based training on the client’s own application.
- Technologies
- Java/Python, Selenium, Playwright, API
- Implementation
- Skill-gap analysis → part-time training → guided automation of real modules → post-training support.
- Results
- Team started automating its own regression.
- Business Impact
- Automation capability built in-house.
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