Tabcorp Transforms its Quality Assurance Strategy
By slashing regression cycles by 70% and unlocking six-figure savings through AI-driven test automation.
"Previously, the ROI was not there because last-minute changes would always break our test cases, making the automation unusable. With Perfecto AI, that number has improved to more than 90%. Now, I can redirect my QA team's efforts to more valuable tasks."
— Namresh Saraiya, Lead Automation Engineer at Tabcorp
Tabcorp is a world-class diversified gambling entertainment group and a leader in the Australian market. With a massive digital footprint spanning retail, digital betting, and customer streams, Tabcorp manages complex applications, including Australia's first major Flutter-based application.
To maintain their competitive edge, they require a rigorous testing strategy that ensures a flawless user experience across a fragmented landscape of mobile devices and operating systems.
The Challenge: High Maintenance and Resource Bottlenecks
Despite a robust history of test automation, Tabcorp faced significant hurdles in maintaining efficiency as their digital portfolio expanded. The rapid pace of UI/UX changes and the introduction of new frameworks created a testing environment that was becoming unsustainable.
Tabcorp’s QA team encountered several critical roadblocks:
- Excessive Maintenance: The team spent an average of two days every week simply maintaining existing automation scripts, diverting valuable engineering resources away from innovation.
- Skill Gaps and Onboarding: Finding talent with specialized coding knowledge (such as Appium) in the local market proved difficult. New hires required 2–3 weeks of onboarding before they could contribute meaningful scripts.
- Fragile Test Scripts: Frequent updates to the application broke standard locators, leading to high volumes of false positives and unstable regression cycles that stretched up to 10 days.
Namresh Saraiya, Lead Automation Engineer at Tabcorp, recognized that the ROI of traditional automation was diminishing. The team needed a solution that could handle dynamic content and reduce technical dependency.
Back to topThe Solution: Agentic AI-Driven Test Automation
Tabcorp partnered with Perfecto to modernize its testing infrastructure. Moving beyond standard device cloud capabilities, Tabcorp adopted Perfecto AI to leverage intelligent testing features designed to minimize code dependency and maximize resilience.
Key components of the solution included:
- Locator-Free Tests: Perfecto AI automatically detects and updates changed elements without requiring manual script repair. This ensures tests remain resilient even when developers modify the UI.
- Natural Language Test Creation: The platform allows testers to use natural language prompts (e.g., "Login with username and password") rather than complex code for test creation. This made automation accessible to the entire team, enabling manual QAs and Business Analysts to contribute to test creation.
- AI-Driven Validation: Instead of relying on static locators, the AI validates the application based on visual context and user intent, handling dynamic content and responsive UI behaviors intelligently.
Transitioning from Traditional Automation to AI-Based Automation: A Hybrid Approach
Recognizing the need for greater efficiency and accuracy within their testing processes, Tabcorp executed a phased approach to integrate AI-driven automation seamlessly into their workflow.
By using Perfecto AI for high-value regression journeys, Tabcorp was able to achieve faster test execution and smarter defect detection without compromising their release schedules. This strategic shift allowed them to maintain the stability of existing operations while exploring the enhanced capabilities of AI-powered tools.
Simultaneously, legacy Appium scripts were reviewed, optimized, and gradually migrated to the AI-driven platform.
This hybrid approach minimized risks by ensuring continuity through automated checks and validations during the transition period. The team focused on high-priority testing areas while scaling their AI-based automation incrementally, providing critical insights and maintaining quality assurance across highly complex and dynamic applications.
By combining Perfecto AI’s advanced features with a carefully managed transition strategy, Tabcorp laid the foundation for future-proof, scalable automation practices.
Back to topThe Results: Faster Cycles and Six-Figure Savings
The implementation of Perfecto AI delivered immediate and measurable business impact. By shifting focus from code maintenance to user experience, Tabcorp revitalized its QA operations and achieved:
- 90% reduction in maintenance: Time spent fixing broken scripts decreased from 2 days a week to less than half a day.
- 60% faster script creation: Test authoring time significantly streamlined, enabling automation of previously ignored minor test cases.
- 70% shorter regression cycles: Full regression testing reduced from 10 days to just 3–4 days.
- $150K–$200K cost savings (in 3 months): Annual savings estimated in the six figures due to reduced engineering hours and increased efficiency.
- Accelerated onboarding: New team members can contribute on Day 1, eliminating the previous 3-week learning curve.
Bottom Line
Tabcorp's AI-driven testing approach with Perfecto AI demonstrates how combining intelligent automation with innovative technology can impact enterprise QA processes. By eliminating inefficiencies and embedding intelligent capabilities directly into workflows, Tabcorp transformed their testing from a cumbersome bottleneck into a key driver of speed and quality.
With Perfecto AI, teams minimize risk, accelerate development cycles, and achieve a higher standard of digital excellence. Its advanced capabilities not only strengthen testing precision but also help teams scale effortlessly and adapt to rapidly evolving demands.
Seamless Testing. Smarter Scaling.
See why industry leaders rely on Perfecto’s AI-powered platform to stay ahead of the competition. Request your custom demo of Perfecto and experience agentic AI in action today.