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.

Who this is for
  • Engineering leaders
  • Product owners
  • Compliance teams
  • Delivery managers
Outcomes it serves
  • 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
Capabilities
  • 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
What is delivered
  • 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
Options
  • Project-based QA
  • Continuous managed QA
  • Automation build-out
  • Performance and security cycles
What may change the price
  • 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.

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