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PAVE™ gives engineering leaders a structured path from firefighting to a more scalable, measurable quality operation.
PAVE™ addresses four recurring root causes that keep QA teams stuck in reactive mode; creating a more scalable, measurable approach to software quality.
The Problem: Fragmented QA processes create inconsistent testing, reactive firefighting, and manual workflows that struggle to scale.
The Solution: Standardize testing workflows, introduce risk-based QA strategies, and establish quality accountability throughout the development lifecycle.
Industry Benchmark: High-maturity QA teams achieve up to 63% faster release cycles.
Source: State of Software Quality Report 2025, p. 27.
The Problem: Teams face limited testing time, skills gaps, and constant pressure from production issues.
The Solution: Balance QA expertise, automation, AI-augmented testing, and continuous skill development around the needs of your environment.
Industry Benchmark: High-maturity QA teams leveraging hybrid testers are 1.3x more likely to adopt AI-augmented test optimization, while 67% of successful teams cite ongoing training as a key driver of QA performance.
Source: State of Software Quality Report 2025, pp. 6, 39.
The Problem: High maintenance costs and limited QA analytics make it difficult to prioritize testing based on risk and business impact.
The Solution: Use automated testing, risk identification, analytics, and business-connected QA metrics to focus effort where it matters most.
Industry Benchmark: 83% of surveyed teams report a reduction in production defects, while 56% report direct cost savings from automation investments.
Source: State of Software Quality Report 2025, pp. 33, 37.
The Problem: Reactive testing leaves little time for improvement, learning, or adoption of better QA practices.
The Solution: Build continuous improvement into the operating model through dedicated improvement time, ongoing skill development, and adaptability as technology evolves.
Industry Benchmark: Teams that prioritize learning and skill development scale QA 3x more effectively than teams relying primarily on automation alone.
Source: State of Software Quality Report 2025, p. 51.
Identify the root causes, coverage gaps, and quality risks slowing your team down plus establish a measurable QA baseline.
Integrate with your development process, optimize workflows and tools, expand automation, and build scalable quality infrastructure.
Measure improvements in QA performance, strengthen release confidence, and build continuous improvement into every release cycle.
What High-Performing QA Can Deliver:
QA Cycle-Time Reduction
Documented EVIZI™ client results in a large enterprise automation environment
Lower Test Execution Time
Individual documented EVIZI™ test workloads achieved up to approximately 95% lower execution time
Faster Release Cycles
Industry research shows high-maturity QA teams achieve up to 63% faster release cycles
Data & Benchmark Note: Industry research benchmarks and EVIZI™ client outcomes are reported separately. The State of Software Quality Report 2025 found that high-maturity QA teams achieve up to 63% faster release cycles; high-maturity teams leveraging hybrid testers are 1.3x more likely to adopt AI-augmented test optimization; 67% of successful teams cite ongoing training as a key driver of QA performance; 83% of surveyed teams report a reduction in production defects; 56% report direct cost savings from automation investments; and teams prioritizing learning and skill development scale QA 3x more effectively than teams relying primarily on automation alone. 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.
