About the Client
Our client is an iGaming company with a strong presence in regulated markets. The business operates an online casino platform that includes slot games, table games like blackjack and roulette, and a sportsbook.
Location: Malta / Cyprus (global operations)
The platform is available on web and mobile devices, supporting players from different countries, currencies, and regions. As the company expanded, the team started to face growing pressure on quality. They needed reliable QA testing for online casino games and iGaming platform, especially for slot games where user experience is critical.
Challenges
Before we joined the project, testing was mostly manual. This slowed down releases and made it hard to scale the platform. At the same time, the client did not have enough in-house expertise in iGaming QA and slot game testing, which led to gaps in quality.
Because of that, bugs often reached production. During peak hours, when many players were online, the system sometimes showed performance issues. On top of that, QA processes were not well documented, and reporting lacked clarity. It was difficult to understand where problems came from and how to fix them faster.
The client needed a partner who could bring structure, automation, and a clear QA strategy for their online casino platform.
Our Approach
We started by building a dedicated QA team with experience in online casino testing and iGaming platforms. Instead of treating QA as a separate step, we integrated it directly into the development process.
At the beginning, we reviewed the system architecture, including APIs, payment integrations, and backend services. This helped us understand where the main risks were. In parallel, we launched performance testing to simulate real user activity. This allowed us to identify bottlenecks and stability risks before they affected real players.
We then introduced QA into the agile workflow. Our engineers joined daily standups and worked closely with developers. This created faster feedback loops, so issues were detected earlier and fixed faster.
A key part of the solution was QA automation for slot games and casino features using Selenium and Appium. This reduced manual work and made regression testing much faster.
Using AI to Speed Up QA
To move even faster, we used AI tools such as Cursor during test automation and analysis.
AI helped us in several areas. First, it speedup testcase creations. Instead of writing everything from scratch, engineers could generate test code, locators, and test scenarios much faster. This reduced the time needed to cover new slot games and features.
Second, AI helped analyze large test outputs and logs. It was easier to find the root cause of failures, especially in complex flows like payments or multi-step game logic.
Third, AI improved work with UI elements. For dynamic interfaces (which are common in slot games), AI-assisted suggestions helped identify stable selectors and reduce flaky tests.
As a result, the team delivered automation faster and with fewer errors. This directly improved release speed and test coverage.
Cross-Platform and Regional Testing
Since the platform operates globally, we paid special attention to cross-platform and regional testing. We validated how the system behaves on different browsers, mobile devices, and operating systems.
We also checked localization, currencies, and compliance requirements for different markets. This is critical for any iGaming platform QA, where rules differ by country.
Results
After implementing QA automation and improving the testing process, the platform became much more stable and predictable. We reduced the number of defects per release by around 40%, which had a direct impact on product quality. At the same time, release cycles became about 30% faster, allowing the client to deliver new features and slot games more frequently. Platform stability also improved.
During peak load, the system reached up to 99.95% uptime, which is critical for any online casino platform where downtime leads to direct revenue loss. We also saw a strong improvement in cross-browser and device compatibility. Issues in this area dropped by nearly 50%, which helped deliver a more consistent experience for players across different regions and devices. Another important result was speed of onboarding new content.
With automation and AI support, the time required to test and release new slot games was reduced by around 60%.
Technology Stack
For this project, we used Selenium and Appium for automation testing, JMeter for performance testing, and TestRail with JIRA for test management and tracking. CI/CD pipelines ensured continuous testing during development.
We also used AI tools like Cursor to speed up test development and improve QA efficiency.
Business Impact
With a structured QA process and AI support, the client improved both product quality and team efficiency. Players experienced fewer issues, which increased trust in the platform.
At the same time, the company reduced costs related to bug fixing and support. The platform became easier to scale, and the team gained confidence in launching new features faster.
Conclusion
This case shows how modern QA testing for online casino games and iGaming platforms can go beyond standard testing. By combining automation, performance testing, and AI tools, companies can reduce risks and grow faster.
If you are building or scaling an online casino or sportsbook, a strong QA strategy will help you improve stability, speed up releases, and deliver better user experience.