
Managed QA services for product teams that need reliable testing, automation, release coverage, and ongoing quality engineering without building a larger QA operation.
Dedicated QA ownership aligned with your product roadmap, engineering process, release cadence, and quality priorities
Broader release coverage across functional, regression, integration, API, exploratory, and end-to-end testing
Risk-based test planning focused on critical workflows and areas where defects would have the highest business impact
Scalable test automation for repeatable regression scenarios that should not depend on manual execution every release
Clear quality visibility through structured reporting, defect tracking, test results, release risks, and coverage insights
Integrated engineering workflows with QA working inside your development process rather than operating as a disconnected testing team
A continuously improving QA practice that evolves as your product, architecture, release cadence, and testing needs change
Validate features, workflows, business rules, permissions, states, edge cases, and expected application behavior before release.
Maintain repeatable coverage across critical product journeys so changes can be validated consistently as the application evolves.
Test service contracts, data exchange, authentication, business logic, failure conditions, and dependencies across connected systems.
Build and maintain automation for high-value regression scenarios across interfaces, APIs, integrations, and critical user journeys.
Validate customer and internal workflows across supported browsers, devices, operating environments, and application states.
Investigate high-risk areas beyond scripted test cases to uncover workflow gaps, unexpected behavior, and product quality issues.
Coordinate pre-release testing, defect verification, regression checks, quality reporting, and release-risk visibility before deployment.
A stable QA team works as part of your engineering organization, taking ownership of planning, execution, automation, reporting, and ongoing quality improvement.
QA engineers and automation specialists strengthen your existing team where additional capacity or specialist expertise is needed.
We review your product, architecture, release process, existing test coverage, automation, defect patterns, environments, and QA bottlenecks.
We define coverage around workflows, requirements, risk, release priorities, and traceability using practical test management processes.
We execute structured testing across features, business rules, end-to-end workflows, regression scenarios, and critical user journeys.
We validate service behavior, integrations, data flows, contracts, errors, authentication, and dependencies between connected systems.
We design, build, stabilize, and maintain automated QA testing across high-value UI, API, integration, and regression scenarios.
We work with appropriate QA testing software, automation frameworks, defect systems, and test management tools without adding unnecessary tooling complexity.
We track defects, test results, recurring failure patterns, coverage gaps, and automation health to continuously improve the QA practice.
A practical framework for prioritizing tests based on business criticality, change frequency, technical complexity, defect history, and customer impact.
A structured way to decide which tests should be automated, which should remain manual, and where automation produces meaningful long-term value.
A framework for defining testing ownership, release responsibilities, quality signals, automation maintenance, reporting, and continuous improvement.
We review your product, architecture, release cadence, current testing process, test coverage, automation, tools, environments, and recurring quality problems.
We define testing priorities, ownership, manual and automated coverage, release workflows, reporting, and collaboration with engineering teams.
We align test environments, QA testing software, automation frameworks, test data, defect workflows, and test management practices with your delivery process.
Our QA team executes functional, regression, API, integration, exploratory, and automated testing as part of your normal development and release cycle.
We track quality trends, improve coverage, reduce repetitive manual work, stabilize automation, and adapt the QA model as your product grows.



Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.
Managed QA services provide an ongoing testing function that can cover QA strategy, test planning, manual testing, regression, automation, API testing, release validation, reporting, and continuous quality improvement.
A managed QA model focuses on ownership of the testing function rather than simply supplying additional people. It can include processes, coverage planning, automation, reporting, quality metrics, and ongoing improvement alongside day-to-day testing.
We can support functional testing, regression testing, API and integration testing, exploratory testing, web and mobile testing, automated QA testing, end-to-end validation, and release testing depending on the product and engineering environment.
Yes. We can operate as a complete QA function or work alongside an existing team to add testing capacity, automation expertise, specialist coverage, or stronger QA processes.
Yes. We can assess current automation, identify flaky or duplicated tests, improve framework maintainability, strengthen reporting, reduce maintenance effort, and expand useful coverage.
Tool selection depends on your technology stack, application architecture, existing processes, and testing requirements. We can work with suitable tools already in place or help evaluate alternatives where the current setup creates limitations.
Useful measures can include critical workflow coverage, regression execution, automation stability, defect patterns, escaped defects, test-cycle efficiency, release risk, and the amount of repetitive manual testing reduced over time.
Build consistent test coverage, strengthen automation, and give your engineering team a QA function that can scale with the product without creating additional management overhead.