QA consulting, test automation, and AI validation for reliable operations

We help software ship cleanly and AI behave reliably in production.

  • Catch release risks before they reach production
  • Build and ship AI systems that behave consistently
  • Replace manual work with automation that actually scales

A 30 minute call to talk through your problem and whether we can help.

  • 10+ yearsin QA, SDET and test automation
  • Regulated fintechrelease-critical environments
  • AI validationevaluation, drift detection, guardrails
  • End to endscoping through to production handover

Background: Apple · Symantec · Payoneer · VMware · Principal SDET at ONE ZERO, a regulated digital bank. More about us

Tooling: Playwright · Appium · Selenium · BrowserStack · AWS · Kubernetes · CI/CD · MCP · LLM integrations

Where delivery breaks down

Common failure patterns in backend and AI systems and the business impact they create.

Releases blocked by unclear or missing quality signals.

Delayed releases, missed deadlines, and lost revenue opportunities.

AI systems behaving inconsistently in production.

Increased incidents, manual intervention, and rising operational costs.

Validation exists but does not provide real confidence.

Hidden failures reaching production and growing compliance risk.

Teams shipping without clear control or visibility.

Loss of trust, slower decision making, and reputational risk.

AI workflows built without guardrails or evaluation.

Unreliable outputs, compounding errors, and loss of user trust.

Articles

Writing on system reliability, AI adoption, and automation.

Frequently asked questions

Common questions about QA consulting, test automation, and AI validation.

Two things. We build quality engineering and test automation systems that prevent software failures and give teams confidence before every release. And we design and build AI automation, from intelligent workflows to bots and agentic systems, so businesses can adopt AI in a way that is practical and reliable.

Yes, end to end. That covers scoping the use case, LLM selection and integration, conversation flow design, guardrails, validation, and production readiness.

Chatbots, document processing, decision-support tools, automated reporting and summarisation, API-connected agents, LLM-powered internal tooling, and AI-based routing or classification.

Yes. Part of the work is scoping, identifying where AI reduces real friction and designing a solution that fits rather than one that follows a trend.

Test automation replaces manual testing with scripts that run on every change, catching regressions early and giving teams consistent quality signals without manual QA overhead.

A QA consultant assesses your testing and release process, identifies gaps where failures could reach production, and designs or implements the automation and validation systems to fix them. The focus is on measurable release confidence, not just test coverage.

Both. Engagements range from a scoped deliverable like an audit, a framework, or a validation system, to ongoing collaboration.

An initial phase to understand your systems and gaps, followed by design and build work with regular checkpoints. The goal is to leave your team with something they can operate and extend independently.

Yes. Much of the work has been in regulated financial environments where release confidence, auditability, and compliance risk are real constraints. The same rigour applies to any regulated domain.

Yes. We design and build Playwright, Appium, and Selenium frameworks from the ground up, including architecture, fixtures, page objects, CI integration, and reporting, covering web, mobile, and cross-browser UI automation. We also take on existing suites that have grown slow or flaky and rebuild the parts holding the team back, so you end up with automation that is fast, stable, and genuinely trusted.

Book a call to discuss quality engineering, AI automation, or both.