Apex, NC | Research Triangle (Raleigh, Cary, Durham, Morrisville)

AI QA Readiness Scorecard

Score each statement 0 (not true) · 1 (partially) · 2 (consistently true). 16+ = strong pilot candidate · 10–15 = address gaps first · <10 = start with assessment + metrics foundation.

AI services overview
  1. We have baseline metrics for manual regression time, escaped defects, and flaky tests.
    012
  2. Leadership has named a sponsor for AI-assisted quality (not only a tool champion).
    012
  3. We know which product journeys are too costly to test manually today.
    012
  4. Our CI/CD pipeline can run generated or augmented tests without heroic maintenance.
    012
  5. Engineers have written guardrails for prompt use, data handling, and human review of AI output.
    012
  6. We have defect analytics that tie production issues back to test gaps.
    012
  7. Security/compliance has reviewed AI tooling for our data classification level.
    012
  8. We pilot on one bounded scope before rolling AI testing across the portfolio.
    012
  9. We measure pilot success with before/after metrics (coverage, cycle time, escapes).
    012
  10. Teams receive enablement—not just licenses—so skills persist after consultants leave.
    012

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