QA for the company ranking platform

About project

SuperbCompanies is a web-based platform that serves as a centralized space to showcase organizational details, portfolios, team bios, events, client reviews, and more. Each company (vendor) can create and manage its business profiles.

The platform provides advanced logic for profile completeness scoring, focus-based rating categories, and customizable display templates.

SuperbCompanies serves vendor users and its own internal admin team, requiring high reliability, extensive UI validation, and seamless integration of new features across complex workflows.

Achievements

• 90% reduction in QA costs by eliminating manual test creation and maintenance.

• 95% faster testing cycles, with autonomous execution after each deployment.

• 92% test coverage across all UI features with zero additional engineering effort.

• 70% reduction in production bugs, thanks to earlier and more thorough issue detection.

• 80% acceleration in time-to-market, with no QA bottlenecks slowing down feature releases.

Our contribution

Our engagement

From day one, our QA team was deeply involved in shaping the testing strategy, closely collaborating with development and product teams.

QA challenges

As the platform evolved, we encountered several challenges:

• Complex, multi-step UI flows across modules.
• Time-consuming manual testing.
• Increasing maintenance overhead on test cases.
•Slower QA feedback loops, impacting sprint velocity.

Our approach

Our QA engineers built a robust and scalable testing process focused on:

• Early involvement in development cycles.
• Manual testing for high-risk features.
• Structured defect reporting and documentation.

However, as the SuperbCompanies platform scaled, we recognized that the purely manual approach wasn’t efficient enough. To free up time for strategic QA activities and streamline repetitive tasks, we decided to adopt OwlityAI as a supporting codeless tool within our QA stack.

Integrating OwlityAI

After evaluating several solutions, we onboarded OwlityAI, an AI-powered platform capable of autonomous UI testing, without requiring access to source code.

What our QA team did:

• Audited existing test coverage to identify areas ideal for AI automation.
• Configured test flows and validated OwlityAI’s scenario generation.
• Monitored and validated AI-generated results, ensuring accuracy and alignment with real user behavior.

Key OwlityAI features we leveraged

• AI-generated test cases
Automated coverage for core workflows like profile creation, review management, events, sponsorships, and rating logic.
• Code-free UI testing
OwlityAI operated entirely through the UI, requiring no backend or source code access, which reduced security risks and integration friction.
• Jira & Confluence integration
Automated bug reporting to Jira with screenshots, logs, and video. OwlityAI also generated documentation and execution reports directly in Confluence.

Conclusion

A combination of traditional QA expertise with AI-driven automation let us transform quality assurance from a bottleneck into a growth enabler. By integrating OwlityAI into the QA stack, we sped up testing, cut costs, and improved both coverage and accuracy.

Offloading repetitive test creation and maintenance allowed us to focus on high-value tasks like exploratory testing, UX validation, and quality strategy.

AI became a reliable assistant, but the direction, prioritization, and validation remained fully in the hands of our experienced QA engineers.

For a platform like SuperbCompanies, where reputation, reliability, and user experience are everything, this approach ensured both product excellence and a competitive edge.

Services provided