Shift-left quality engineering
QA starts at sprint planning, not after features are done. Tests are written alongside the code and defects are caught before they compound: 70% less rework.
Quality assurance delivered as scoped workstreams on the Scrums.com platform: test automation frameworks, AI-generated regression suites, CI/CD quality gates, performance and security testing. Scrums.com owns the outcome, milestone by milestone, with every test run, coverage metric and defect trend visible in one dashboard.
Delivering since 2012 · Trusted by 400+ enterprises · 40-60% cost savings versus US and UK firms
Software testing and QA on Scrums.com is delivered as scoped workstreams: a test strategy, the automation frameworks, AI-generated regression suites and the CI/CD quality gates, run to milestones on the SEOP platform with Scrums.com accountable for the outcome. AI agents generate test cases, execute regression suites and analyse results; QA engineers keep the work that needs judgment: exploratory testing, UX validation and test strategy.
QA starts at sprint planning, not after features are done. Tests are written alongside the code and defects are caught before they compound: 70% less rework.
Test execution, coverage metrics, defect trends and quality KPIs in one SEOP view, with Jira, TestRail, Jenkins and Sauce Labs connected.
Agents take the repetitive work: test generation, regression execution, result analysis. Human plus AI delivers 80%+ automation coverage with human judgment kept for exploratory and UX testing.
Functional, automation, performance, security, accessibility, cross-browser and mobile testing, plus compliance testing for regulated industries, all reporting through SEOP. Built for FinTech, Healthcare and Banking where audit trails and evidence are part of the release.
Scalable test automation frameworks built for your technology stack with industry-standard tools. Modular, maintainable automation across unit, integration, API and end-to-end workflows, reducing manual testing effort by 60% while improving coverage and reliability.
AI agents generate test cases, identify edge cases, execute regression suites and analyse results. Test creation time drops by 50%, defects surface earlier through pattern recognition, and coverage improves continuously from production usage and code changes.
Automated testing integrated into your pipelines with quality gates that stop defective code before production: execution triggers, performance thresholds, security scanning, coverage requirements and automated rollback, without slowing release velocity.
Expert QA engineers cover the scenarios that need human judgment: UX validation, accessibility testing, edge-case exploration and complex user workflows. Structured exploratory testing finds what automation misses.
System performance validated under real-world conditions: concurrent users, peak traffic and sustained load. Bottlenecks found and response times optimised so the application handles growth without degradation, before launch.
Vulnerability scanning, penetration testing, authentication validation, encryption verification and compliance checks. Weaknesses identified and secure coding practices validated so the software meets regulatory requirements before deployment.
Each capability above is delivered as a fixed-scope workstream from the scopes register: agreed acceptance criteria, milestones, evidence you can stand behind, and no timesheets.
A structured implementation that builds testing maturity progressively while delivering value from the first sprint through prioritised automation. Basic frameworks deploy within 2 to 4 weeks; 80%+ coverage across the layers typically lands in 2 to 3 months.
Fixed-scope work from the scopes register. Milestone-based, SLA-backed and run on the platform. Testing a mobile app? See mobile app development.
Comprehensive test automation cuts testing time by 60% and puts regression on every build.
Insufficient coverage or reactive QA lets defects escape. Structured QA reduces production defects by 70%.
Performance validation, security testing or accessibility compliance that needs expert QA knowledge and dedicated tooling.
FinTech, Healthcare and Banking applications need testing documentation, audit trails and evidence for certification.
Pre-configured automation with AI-powered testing on a subscription is the Managed QA scope. Managed QA Release Assurance →
A dedicated team you direct, with QA inside it, is a hire decision. Dedicated development teams →
Add a QA automation engineer, performance tester or security specialist from the register. Hire AI engineers →
Functional testing (manual and automated), test automation across unit, integration, API and end-to-end layers, performance and load testing, security testing and vulnerability scanning, accessibility compliance testing (WCAG), cross-browser and device testing, mobile app testing on iOS and Android, regression automation, exploratory testing, and compliance testing for regulated industries (SOC 2, HIPAA, PCI DSS, GDPR). All testing types report through SEOP for unified visibility.
Basic test automation frameworks deploy within 2 to 4 weeks, covering critical user paths and high-priority scenarios. Comprehensive automation at 80%+ coverage across unit, integration, API and E2E tests typically takes 2 to 3 months depending on application complexity and existing test infrastructure. Automation is prioritised by risk and ROI while manual testing gives immediate coverage.
Yes. Automated testing integrates into Jenkins, GitLab CI, GitHub Actions, Azure Pipelines, CircleCI, Bitbucket Pipelines, AWS CodePipeline and custom deployment systems, with quality gates, execution triggers, parallel runs and automated reporting so tests run on every code change with fast feedback for developers.
Existing environments work; new environments can be established with proper isolation, data management and deployment automation. Test data strategies include synthetic data generation, masking of production data, test data factories and containerised environments with pre-seeded data, mirroring production while protecting privacy.
Software Testing & QA delivers scoped QA workstreams with a testing strategy and custom automation frameworks tailored to your applications, best when building QA capability or needing hands-on QA engineering. Managed QA is the platform-driven QA-as-a-Service scope with pre-configured automation, AI-powered testing and subscription pricing, best for organisations wanting turnkey QA automation. Both report through SEOP.
Quality metrics tracked through SEOP dashboards: test coverage across unit, integration and E2E, defect detection and escape rates, execution time and frequency, release cycle acceleration, production incident reduction, mean time to detect and resolve defects, and automation ROI. Quarterly reviews assess maturity and identify optimisation opportunities.
Yes. Most QA clients have applications built by other teams, vendors or acquired through M&A. The application is assessed, the architecture and existing coverage reviewed, and a QA strategy designed for it regardless of who built it. Comprehensive coverage for inherited applications with limited documentation typically lands within 8 to 12 weeks.
Yes. Native iOS and Android testing with Appium, XCUITest and Espresso, cross-platform framework testing for React Native and Flutter, device compatibility across real devices and emulators, performance testing under varied network conditions, accessibility testing, app store compliance validation and continuous mobile CI/CD integration.
Scoped QA workstreams on the Scrums.com platform: automation frameworks, AI-generated tests and CI/CD gates, with every result visible and Scrums.com accountable for the outcome.
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