- Engineering leaders
- Product owners
- Compliance teams
- Delivery managers
Catalogue › Data & Artificial Intelligence › QA as a Service
Data & Artificial Intelligence
QA as a Service
Independent, continuous quality assurance for software and AI systems: test strategy, functional and regression coverage, automation, performance and security verification, delivered as a managed service with evidence the business can read.
- Defects found before customers find them
- A regression net that runs on every release
- Release decisions backed by evidence, not confidence
- Quality visible to non-engineers
- Test strategy and coverage design
- Manual, exploratory and user-acceptance testing
- Test automation and CI integration
- Performance, load and security verification
- Defect triage, tracking and reporting
- Release-readiness evidence packs
- Approved test strategy and coverage map
- Automated regression suites wired into CI
- Cycle reports with defect and risk registers
- Release-readiness evidence per release
- Handover documentation and training
- Project-based QA
- Continuous managed QA
- Automation build-out
- Performance and security cycles
- System count and release cadence
- Automation scope versus manual coverage
- Environments and test-data complexity
- Compliance and evidence requirements
- Service level and team integration depth
Content on this page comes from the governed ARRIX catalogue record DAI-09; pricing is confirmed only through a reviewed quotation.