Why
Vervali?

Why Vervali?

Data Security

Protecting digital information from unauthorized access, theft, or corruption.

Targeted Testing

Identifying specific areas of the website or application that are most critical or vulnerable to errors, and focusing testing efforts on those areas.

-30% Reduce Bug Cost

Through effective quality assurance practices, such as implementing automated testing, conducting regular code reviews etc.

Focused on Business goals

Aim to maximizing the website's potential to drive growth, increase revenue, and achieve other key performance indicators (KPIs).

-20% Testing Time

Through prioritizing testing efforts based on risk analysis and streamlining the testing process.

Risk Based testing

Involves identifying and prioritizing potential risks associated with a software application or system, and using this information to guide testing efforts.

Challenges into Triumphs

Turning problems into opportunities for growth and innovation

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Fragile test scripts that break with every UI change

Stabilized with AI-powered locators, resilient selectors, and self-healing test frameworks

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High manual effort in writing repetitive tests

Minimized with low-code/no-code test builders and reusable test components

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Poor test coverage across microservices

Expanded through service-level test automation, contract testing, and API coverage mapping.

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Inconsistent results from flaky tests

Reduced with smart waits, parallel execution diagnostics, and continuous test optimization.

Frequently Asked Questions (FAQs)

It leverages artificial intelligence and machine learning to automate test case generation, maintenance, and execution — improving speed and accuracy.

When a UI element changes (e.g., ID or path), the AI identifies similar patterns, visual elements, or DOM behaviors to adjust tests automatically.

Yes. We integrate AI QA flows into Jenkins, Azure, GitLab, and GitHub pipelines to support continuous delivery.

Yes — AI-based automation is applied across platforms using tools like Appium, Cypress, Selenium, and AI wrappers.

Depending on your stack, we use Testim, Applitools, Mabl, Functionize, or build custom OpenAI-integrated test engines.

AI QA benefits teams of all sizes — we tailor solutions for agile startups and global enterprises alike.

Basic AI-based automation flows can be onboarded within 2–3 weeks, depending on scope and integration depth.

Featured Insights

Embracing Accessibility

Vervali was commissioned to audit, identify and remedy over 2,000 URLs across all client platforms and solutions in accordance to the WCAG 2.0 guidelines with the objective to achieve AA Level of the 508 certifications.

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Automate Optimize and Drive Profitability

The offer loading and IP whitelisting was a process that was managed internally by our client. When they struggled to manage the increased volume, they reached out to us for help with manual data entry. Vervali analyzed the entire manual process and produced an automation plan and framework.

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A Bug Free Reward Program

To sustain an intensely competitive landscape of frequent flyers and loyalty programs our client was making every effort to engage & retain its customers by introducing increased benefits and new products. However, the introduction of these new changes without proper testing made their website more vulnerable and multiple defects.

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Digital Onboarding, Separation and Asset Management

With the increasing customer base, our client was enjoying great traffic and demand for their software. However, to sustain this increased growth, our client knew that they had to constantly upgrade their product. While they had introduced software to digitize the employee onboarding process. However, there were still many manual processes still in play. Our client needed a strategic partner, who can act as an extension of their team and help them digitize the manual processes.

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