The Executive QA Framework for Breaking the Firefighting Cycle

See how EVIZI™ client environments achieved 70-90% reductions in QA cycle time and up to 95% lower test execution time

AI is accelerating software development. But faster code creation doesn’t automatically mean faster, safer releases.

When QA becomes the bottleneck, teams spend more time fixing defects, maintaining fragile test suites, and reacting to production issues instead of improving the product.

The PAVE™ QA Accelerator System provides a structured 120-day path for addressing the process, resource, measurement, and continuous-improvement problems that keep QA teams stuck in reactive mode.

Industry research shows that high-maturity QA teams achieve up to 63% faster release cycles, while 83% of surveyed teams report a reduction in production defects. Documented EVIZI™ client work separately shows QA cycle-time reductions of 70% to 90%, with individual test workloads achieving up to approximately 95% lower execution time.

In this free executive report, you’ll learn:

QA Crisis Report executive report preview

The 4 recurring root causes behind QA bottlenecks, rework, and delivery friction
The 4 pillars of the PAVE™ framework for building a more scalable QA operating model
How high-maturity QA practices are associated with up to 63% faster release cycles
How documented EVIZI™ client environments achieved 70% to 90% reductions in QA cycle time
The 120-day roadmap for assessing maturity, accelerating transformation, and establishing measurable QA improvement

See how PAVE™ can help your team move beyond reactive QA and build a more scalable quality operation.

Get the QA Crisis Report

Data & Benchmark Note: Industry research benchmarks and EVIZI™ client outcomes are reported separately. The State of Software Quality Report 2025 found that 83% of surveyed teams reported a reduction in production defects and that high-maturity QA teams achieved up to 63% faster release cycles. Anonymized EVIZI™ client delivery data separately documents QA cycle-time reductions ranging from 70% to 90% in a large enterprise automation environment, with individual test workloads achieving up to approximately 95% lower execution time. Results vary by client environment, automation maturity, application complexity, and implementation scope. The 120-day PAVE™ timeline describes the implementation framework and is not a guarantee of any specific quantitative outcome.