Automated Testing and Quality Assurance

Quality assurance that only happens right before a release is already too late to catch most problems cheaply.

Quality assurance that only happens before a release is already too late to catch most regressions efficiently. Built into the delivery process, it catches problems while they are still cheap to fix. 

Quality assurance is built into our delivery process, not bolted on at the end. We implement automated testing suites that run continuously, catching regressions early and ensuring your service meets its requirements even as the release cadence accelerates. 

How we help 

  • Automated test suite development: unit, integration, and end to end tests built around your actual critical paths. 
  • Continuous testing integration: tests that run automatically on every change, not manually before a release. 
  • AI system evaluation and red teaming: structured testing of AI chatbots and agents against realistic failure scenarios, not just happy path demos. 
  • Regression prevention: test coverage focused on the parts of the system most likely to break silently. 

Technology 

  • automated testing frameworks integrated with CI/CD 
  • unit and integration testing tools 
  • Cypress and Playwright for end to end testing 
  • structured red team evaluation methodology for AI systems 
  • load and performance testing tools 

 

Why it matters 

We have applied a structured, five category red teaming framework to evaluate a deployed customer facing chatbot, the same rigor we bring to traditional QA applied to AI systems specifically, because AI failure modes do not show up in conventional test suites. 

Test suites accumulate the same way technical debt does, tests get added for whatever broke last, rather than for what is actually most likely to break next. We periodically review test coverage against real production incident history, not just against what feels intuitively important, so testing effort tracks actual risk.

Frequently asked questions

Automated tests run continuously and catch regressions instantly on every change. Manual QA still has a role for exploratory testing and judgment calls automation cannot make, but it should not be your only safety net.
Yes, we use a structured red teaming methodology specifically for AI systems, testing for failure modes that conventional test suites do not catch, like hallucination and unsafe outputs.
No, and chasing full coverage is often a poor use of effort. We focus test coverage on your critical paths, the parts of the system where failure actually costs you something.
They integrate directly into your CI/CD pipeline, running automatically on every change so testing becomes routine rather than a separate manual gate before each release.