QASolve.ai

BACKGROUND

Please describe your company and position.

I am the CTO & CAIO of OpenRobo Labs

Describe what your company does in a single sentence.

OpenRobo is an AI-native company that empowers businesses with scalable, open-source automation using RPA, Generative AI, and Agentic AI.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire QASolve.ai to accomplish?

• SaaS - Web App Testing

SOLUTION

How did you find QASolve.ai?

Referral

Why did you select QASolve.ai over others?

• High ratings
• Pricing fit our budget
• Good value for cost
• Company values aligned

How many teammates from QASolve.ai were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Internal SaaS Product for F&A Process Automation 

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Implementing QASolve.ai as our end-to-end automated testing platform delivered significant measurable outcomes across speed, quality, and efficiency dimensions. The platform’s full automation capabilities — from test case generation to execution, defect analysis, and reporting — reduced overall QA effort by nearly 60–70%.

With intelligent test orchestration and continuous integration, our test execution time dropped by 50%, and release frequency increased by 40%, allowing faster delivery cycles. QASolve.ai’s self-healing test scripts reduced maintenance overhead by over 80%, ensuring stability even with frequent UI and API changes.

The platform’s AI-driven test coverage analysis helped identify untested code paths, resulting in a 25% improvement in functional and regression coverage. Predictive defect analytics enabled early detection of high-risk areas, reducing post-release defects by 30%.

Overall, QASolve.ai transformed our QA process from manual and reactive to fully autonomous and predictive, giving real-time visibility into quality metrics and enabling data-driven decision-making. These measurable improvements clearly demonstrated success in scaling automation maturity and accelerating business value delivery.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

The QASolve.ai team demonstrated excellent project management throughout the engagement. They followed a well-structured, milestone-based delivery plan with clear communication at every stage. All deliverables — from platform setup and integration to automation framework customization — were completed on or ahead of schedule.

Their project managers maintained regular sprint reviews and progress check-ins, ensuring complete transparency and proactive risk management. Whenever new requirements or priorities emerged, the team was highly responsive and flexible, quickly adapting to changes without impacting delivery timelines.

We particularly appreciated their agile and collaborative approach, where feedback loops were short, issues were tracked effectively, and resolutions were swift. Their ability to understand our testing needs and translate them into actionable automation workflows was impressive. Overall, QASolve.ai’s project management discipline and responsiveness made the implementation seamless and result-oriented.

What was your primary form of communication with QASolve.ai?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What impressed me most about QASolve.ai is its ability to deliver a truly end-to-end autonomous testing experience powered by AI and analytics. Unlike traditional automation tools that require heavy scripting and maintenance, QASolve.ai combines AI-driven test generation, self-healing scripts, intelligent defect prediction, and real-time reporting — all within a unified platform.

Its self-learning capability to adapt to application changes and continuously optimize test coverage stood out as a game-changer. The platform not only automated execution but also brought intelligence to prioritization, root-cause analysis, and quality forecasting, which significantly reduced human intervention.

Beyond the technology, the QASolve.ai team’s proactive approach — from rapid onboarding to continuous support and innovation-driven mindset — made them a true partner rather than just a vendor. Their focus on measurable outcomes and customer success was what made them uniquely valuable in the modern QA automation landscape.

Are there any areas for improvement or something QASolve.ai could have done differently?

While QASolve.ai delivered excellent automation capabilities and project management, one area for potential improvement could be enhanced onboarding documentation and guided tutorials for new users. Although the platform is intuitive, having more detailed step-by-step guides or video walkthroughs could accelerate adoption for teams unfamiliar with AI-driven testing.

Additionally, expanding pre-built integrations with more CI/CD tools and third-party test management systems would provide even smoother workflows for diverse enterprise environments.

Overall, these are minor enhancements; the platform’s performance, responsiveness, and intelligent automation far outweigh these considerations. Implementing these suggestions could make the onboarding and integration experience even more seamless for new clients.