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Our proprietary 120-day PAVE™ roadmap addresses four recurring root causes of QA failure, with documented EVIZI™ client results showing QA cycle-time reductions of 70% to 90%.
AI lowered the cost of writing code. It raised the cost of getting it wrong.
PAVE™ is built for engineering leaders whose QA process has become the bottleneck. If your team is spending too much time fixing defects, struggling to keep pace with releases, or operating without clear visibility into quality risk, PAVE™ creates a structured path from reactive firefighting to measurable QA improvement.
Identify where quality breakdowns, rework, and testing inefficiencies are slowing your team down.
During the assessment, EVIZI™ evaluates your QA environment against the four PAVE™ pillars: process, resources, validation, and continuous improvement. We examine current testing workflows, defect patterns, coverage gaps, engineering effort, and quality risks to establish a measurable baseline and identify the highest-priority opportunities for improvement.
At the end of this phase, you receive a clear QA maturity assessment and transformation roadmap tailored to your environment.
Turn the roadmap into an operating QA system built around your existing development environment.
An EVIZI™ QA team integrates with your development processes to improve testing workflows, expand automation where it creates the most value, optimize existing QA tools, strengthen team capabilities, and establish scalable quality infrastructure.
Depending on your technology stack and current maturity, this can include automated regression testing, CI/CD quality gates, risk-based testing, improved test coverage, and stronger integration between QA and development.
Measure the improvements, strengthen what works, and build a QA system that continues improving as you scale.
By Day 120, your organization has a clearer quality operating model, documented QA standards, measurable performance indicators, and a repeatable process for improving quality over time.
EVIZI™ client delivery data documents QA cycle-time reductions of 70% to 90% in a large enterprise automation environment, with individual test workloads achieving up to approximately 95% lower execution time. Other documented client environments have achieved test-cycle savings ranging from several hours to multiple days per run.
PAVE™ does not stop at Day 120. The Enhance pillar creates an ongoing feedback loop that uses testing results, production data, defect trends, and engineering performance to improve each subsequent release cycle.
Build the foundation for predictable quality.
Replace fragmented, reactive testing with structured QA processes that scale with development. PAVE™ standardizes workflows, introduces risk-based testing strategies, and establishes clear quality accountability throughout the development lifecycle.
The goal is to make quality part of how software is built, not something inspected only before release.
Put the right resources where they create the most value.
PAVE™ balances human expertise, automation, and AI-augmented testing around the needs of your environment. We optimize how QA time is distributed, strengthen team capabilities, and expand automation where it can reduce repetitive work and improve coverage.
The result is a QA organization that can scale without simply adding more people or more tools.
Turn testing data into better decisions.
PAVE™ uses automated testing, risk identification, analytics, and business-connected QA metrics to give engineering leaders greater visibility into where quality risk is concentrated.
Instead of treating every test and every defect equally, teams can focus effort where failures have the greatest impact, while measuring improvements in cycle time, coverage, defect escape, and engineering effort.
Create a QA system that keeps improving.
PAVE™ builds continuous improvement into the operating model. Testing results, production incidents, defect trends, team feedback, and evolving technology become inputs for improving future release cycles.
Rather than allowing QA maturity to plateau after the initial transformation, the Enhance pillar creates an ongoing feedback loop designed to make the quality system more effective as the organization grows.
PAVE™ was built for traditional software development and has since been extended to cover the quality challenges specific to AI-powered products.
For AI deployments, PAVE™ adds output evaluation pipelines, hallucination rate benchmarking, adversarial prompt testing, and model drift monitoring to the standard quality lifecycle. If your project involves LLM integration, agentic workflows, or predictive analytics, PAVE™ applies to those systems as well.
This means every AI project EVIZI™ delivers is governed by the same structured quality framework as our traditional software work. Your AI system will be reliable in production, not just impressive in the demo.
Backed by 20+ years of operational continuity, EVIZI™ transforms QA from a cost center into a growth driver, ensuring your organization ships exceptional software reliably in a 24/7 global economy.
“Evizi is an integral part of our team at KidKare. From development and automated testing, to support and DevOps, there is no part of our development cycle that Evizi does not influence. Their understanding of our solution and the quality of their team members made scaling them up in year one a great decision. We improved development velocity by 40%, reduced defects by 74% and reduce incoming support tickets by 50%. Evizi is a trusted and valued partner on which we can always rely.
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