QA automation

• QA strategy and directionDefine what should be tested, where automation creates value and how quality should be governed across teams.
• Automation that can scaleBuild and improve reliable test automation that supports continuous delivery without creating unnecessary maintenance overhead.
• Coverage based on riskFocus testing on the customer journeys, integrations and business processes where failures have the greatest customer and business impact.
• Quality throughout deliveryBring testing into the development process so teams find problems earlier and release with greater confidence.
• Performance and resilienceVerify that important services remain stable and responsive when demand, complexity or change increases.
• QA transformationStrengthen teams, standards and working practices while transferring ownership to the organisation.

Our QA offering is built on years of hands-on experience with large test suites, distributed teams and digital services where quality failures have immediate customer and commercial consequences.

Our specialists have worked across industries and demanding operational environments, including multiple airlines since 2015. Proven automation patterns, testing approaches and ways of working can be adapted to different products, technology stacks and organisations.

Roles we fill

QA transformation lead · QA manager · QA Automation specialist · Data and Insights specialist · Test engineer · Performance specialist

Quality should be comparable without becoming a league table. Common measures make it possible to understand why some teams perform better, share their practices and verify whether changes improve the result.

• Common standards across teams, services and test environments.
• Clear priorities for maintaining existing automation and increasing coverage where it adds the most value.
• Faster onboarding with visible expectations and working practices.
• Reduced dependency on individual knowledge and expertise.
• Evidence that QA investment is improving production quality over time.

QA Cockpit helps QA and delivery teams spend less time investigating test failures and more time acting on them. It brings automated test results, delivery data and supporting evidence together in one place, using AI to help identify what failed, why it failed and where attention is needed.

This gives teams faster root-cause analysis, clearer release readiness and better visibility across products and teams. It also helps leaders identify recurring quality issues, compare trends and focus improvement efforts where they have the greatest impact.

QA Cockpit is built on our experience from complex QA environments and is supported by our broader QA capability.

Explore the QA Cockpit platform →