Testing that ships with confidence — and thinks with you.

Challenge / Initial situation

Trade-in valuation ran in four languages across separate market sites, and every release needed slow, error-prone manual regression that could not keep up with configuration changes.

Approach / Measures

• Designed a scalable Playwright framework in TypeScript supporting all locales
• Filter-driven dynamic testing for vehicle configurations
• Wired the suite into GitHub Actions with parallel execution and Allure reporting

Results

• Manual testing time reduced significantly across all four markets
• Consistent, repeatable coverage of every locale on each release
• Full reporting visibility for stakeholders after every pipeline run

Challenge / Initial situation

Mission-critical medical imaging systems relied on lengthy manual verification while still having to satisfy strict healthcare regulatory requirements.

Approach / Measures

• Architected an enterprise automation framework with RobotFramework, Selenium and Python
• Embedded regulatory-compliant QA processes into the delivery workflow
• Automated regression execution through Jenkins pipelines

Results

• 60% reduction in testing cycles
• 75% fewer defects escaping to production
• Audit-ready, repeatable evidence for every release

Challenge / Initial situation

Test authoring lagged behind delivery velocity, with requirements scattered across Jira tickets and PDF specifications that nobody had time to translate into cases.

Approach / Measures

• Built Jira integration that generates XRay-format cases with a local, privacy-safe LLM
• Stored and retrieved generated cases through a Qdrant vector database
• Added Playwright script generation and gap analysis on top of the generated suites

Results

• 70% faster test creation with improved coverage
• Traceability from requirement to test case to automated script
• Test design work kept entirely offline and privacy-safe

Challenge / Initial situation

Quality had to be proven across web, mobile apps and physical camera hardware, with manual device checks that could not scale to the release cadence.

Approach / Measures

• Built end-to-end IoT device automation covering real camera flows
• Extended coverage across web and mobile platforms with Appium
• Containerised execution and integrated it with GoCD pipelines

Results

• 70% increase in testing efficiency
• Cross-platform test coverage in a single suite

Challenge / Initial situation

Regression for a complex energy platform was manual, and multiple environments made it hard to reproduce and verify issues reliably.

Approach / Measures

• Designed the automation framework architecture and rolled it out with the team
• Integrated QA automation with DevOps practice and Jenkins CI/CD
• Enabled multi-environment testing on OpenShift (OKD)

Results

• 60% less manual regression effort
• Faster, more predictable release cycles

Challenge / Initial situation

Four large logistics systems were validated by hand, making peak-season releases risky and slow to sign off.

Approach / Measures

• Built automation frameworks with QTP/UFT integrated into Jenkins
• Implemented continuous testing pipelines for the logistics systems
• Ran proofs of concept and client demonstrations to validate the approach

Results

• Continuous regression across four core systems
• Standardised test strategy and documentation

Challenge / Initial situation

Several mission-critical airline products each had their own testing practices, with no shared standard or reusable automation.

Approach / Measures

• Established a Testing Center of Excellence to standardise practice
• Drove enterprise-wide automation adoption across the product lines
• Automated regression for reservation and operations systems

Results

• 50% reduction in regression testing time
• Multiple airline systems automated on one standard

Challenge / Initial situation

Legacy tooling and undocumented test practice let too many defects reach production on a regulated platform.

Approach / Measures

• Introduced a BDD framework with Cucumber and Playwright
• Established an automated security testing pipeline
• Aligned the team on shared living documentation

Results

• 75% lower bug escape rate
• Shared, readable specifications across QA and product

Challenge / Initial situation

Mobile releases depended on manual checks on a small device set, so visual and device-specific defects slipped through.

Approach / Measures

• Created a cross-platform Appium suite for iOS and Android
• Added visual regression testing to catch UI drift
• Scaled execution on AWS Device Farm with Docker

Results

• 90% test automation coverage
• Device-specific regressions caught before release