VPS OF ENGINEERING AT AI-ENABLED COMPANIES
AI made your engineers faster. You need a quality system that keeps up.
Get ahead of AI-generated quality debt and build the systems to eliminate it, so you can deploy rapidly, ship clean, and lead your engineering org into the future.
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THE PROBLEM
Velocity went up. Confidence in what ships didn't.
The faster AI development moves, the wider the gap grows between what your engineering organization ships and what it can guarantee: more code, faster delivery, and a quality system that was built for a pace that no longer exists.
That gap has a name: quality debt. It compounds with every sprint.
We help VPs of Engineering get ahead of quality debt from AI development and build the systems to eliminate it, so you can deploy rapidly, ship clean, and lead your engineering org into the future.
THE SOLUTION
JDAQA sits at the intersection of AI development and quality engineering, and we’ve built the methodology to diagnose the gap and close it.
We start with a Quality Debt Assessment, a complete point-in-time snapshot of where quality debt is accumulating and what it’s costing you—across 6 dimensions
THE PLAN
Get ahead of quality debt in three steps.
Diagnose the Debt
JDAQA delivers a complete picture of where quality debt is accumulating in your organization—across your SDLC, AI development workflow, test coverage, and compliance exposure. You get immediate issues surfaced and prioritized, a Quality Debt Score, a metric baseline, and a signed roadmap to eliminate it. A document you can defend to your CEO, align your team around, and act on immediately.
Build the System
JDAQA executes the roadmap—configuring your AI development environment, rebuilding your quality system from the ground up, and embedding our team inside your engineering organization for as long as it takes to make quality debt a solved problem. We do the heavy lifting. You lead the organization.
Deploy. Ship. Lead.
With the quality system in place, you deploy rapidly, ship clean, and lead the engineering organization you set out to run—without AI-generated quality debt quietly compounding in the background.
THE GUIDE
We’re JDAQA, proudly based in Philadelphia.
We believe speed and quality should never be in conflict.
We’ve been inside engineering teams through every major tooling shift of the last decade.
- 10+ years building quality systems inside fast-moving product engineering organizations
- Long-term embedded relationships with NeuroFlow, Penn Mutual, ABIM, and ArcWeb in Philadelphia’s healthtech and fintech ecosystem
- 20 one-on-one CTO and VP Engineering conversations on AI quality debt
- The only QA firm to have mapped Claude Code’s specific quality failure modes: implementation bias, context pollution, visual blind spots, regression drift
- First QA firm to publish a field report on what AI coding tools are actually doing to software quality
You deserve to ship at AI speed without inheriting the quality debt it creates.
You’re not alone.
What you’re doing is the thing
that’s keeping me up at night.
CTO
Logistics Company
“AI cannot tell if the SVG map broke or looked bad or the thing was jumping around and confusing people. Engineers were shipping functional but kind of broken code.”
CTO
Field Services Management Company
"We’re moving faster and generating more defects and bugs. Our QA team has had to completely shift to automated suites just to keep up."
CTO
Athletic Recruiting Platform
“QA will become a bottleneck. We don’t have any automated QA right now. Engineers self-test, project managers test. That’s going to break as dev speeds up.”