AI makes code cheaper.Cheaper quality makes customers leave.
Lower build cost only helps if your delivery system can verify what AI produces before your customers discover the gaps.
AI-assisted changes can reach a pull request before the team has established what “done” means. A vague acceptance criterion, an undocumented decision or a release process without an owner then travels downstream faster — and costs more to correct.
I help CTOs and founders turn AI-assisted output into release confidence: clear requirements, evidence that a change meets them, risk-based verification where it matters, and a human accountable for the decision to ship.
- 70+ → ~15minutes of release validation
- >85%fewer missed or incomplete acceptance criteria reaching release
- >75%less manual test-design effort per story
The AI workflow was co-developed with a QA colleague and tuned with delivery teams. It gathers, compares and flags evidence; people retain authority over TestRail changes, merges and releases.
See how I build release confidence → Book a scoping call →
Or inspect the evidence, how I work, or who I am.
No cert farming. No vanity metrics. No dashboards nobody reads.