Apex, NC | Research Triangle (Raleigh, Cary, Durham, Morrisville)
AI Quality Engineering & Intelligent Test Automation
I help engineering leaders adopt practical AI in quality engineering—test generation, triage, and risk-based automation—with measurable results in weeks, not quarters.
The problem we solve
Teams are drowning in manual regression, flaky automation, and stalled AI pilots. Tool vendors promise magic; executives need outcomes. We focus on responsible, integrated AI workflows that your engineers can own after the engagement.
What we offer
AI QA Readiness Assessment
1–2 week fixed-scope review of tooling, workflows, data readiness, and team skills.
30-Day AI Testing Pilot
Scoped pilot on one product area—test generation, triage, or visual regression—with success metrics.
Tool Selection & Enablement
Vendor-neutral guidance on gen-AI testing stacks, CI integration, and responsible guardrails.
Fractional QE Leadership
Hands-on leadership to stand up AI-assisted quality practice without hiring a full team.
Use cases
- AI-assisted test generation for critical user journeys
- Visual regression and UI validation at scale
- Defect analytics, triage, and risk-based test prioritization
- CI/CD integration for generated and maintained suites
- Responsible AI guardrails for regulated environments
Tooling & approach
Vendor-neutral. We work with the stacks you already run—GitHub, Jira, AWS, Datadog, CI pipelines—and add gen-AI testing tools (e.g. Meticulous-style visual regression, LLM-assisted test design) only where they reduce manual drag with clear ROI.
Every engagement includes enablement: your team learns the prompts, review gates, and metrics—not a black box.
Outcomes clients care about
- 36% reduction in manual operational effort (wealth management / fiduciary tech)
- Regression coverage 1% → 40% in ~60 days with AI-assisted generation
- 46% fewer defect escapes via analytics-led risk frameworks
- 40% fewer severity-1 escapes after AI testing in delivery cycles (SaaS)
Representative results; industries anonymized where required.