Turning Video Workflows into Automated Test Cases with Generative AI
Client Overview
The client is a globally recognized technology leader known for delivering high-impact software solutions across e-commerce, finance, and healthcare industries. Their comprehensive services span the entire development lifecycle, from design and engineering to testing and deployment. Committed to accelerating time-to-market without compromising quality, the company continually embraces innovative testing strategies to streamline processes and drive superior product performance.
Beyond the Pause Button: Rethinking Video-to-Test Case Generation
Inconsistent Quality
Manually written test cases varied in depth and accuracy, undermining reliability.
Missed Scenarios
Edge cases and non-standard workflows were frequently overlooked, leaving critical gaps.
Operational Inefficiencies
Manual effort drove up costs and slowed software delivery, delaying releases.
Heavy Manual Effort
Repetitive documentation tasks overloaded QA teams, leaving limited time for critical exploratory testing.
Limited Test Coverage
Standard workflows often took priority, while edge cases and complex scenarios were frequently overlooked.
Lack of Standardization
Test cases varied in format and depth, making it difficult to maintain consistency across suites and releases.
From Bottleneck to Breakthrough: The GenAI Solution
Generative AI was integrated to convert video walkthroughs into comprehensive, standardized test cases automatically. This end-to-end automation eliminated repetitive manual effort, improved coverage, and ensured consistency across test suites.
Video-to-Test Case Automation
○ Utilized Generative AI models to interpret video walkthroughs, extracting user actions and generating test cases in natural language.
○ Ensured all test cases adhered to predefined formats for standardization.
Edge Case Suggestions
○ Integrated AI-powered prediction systems to automatically propose additional test scenarios beyond the visible workflows.
Real-Time Feedback Loop
○ Enabled a feedback mechanism to improve generated test cases based on tester validations continuously.
Output Integration
○ Seamlessly exported generated test cases to popular test management tools like JIRA and TestRail.
Example Workflow
Input: A 5-minute video showcasing the login process and navigation to a dashboard.
● 10 Standard Test Cases: Covering login functionality, field validations, and navigation.
● 5 Edge Cases: Including invalid data inputs, blank fields, and error handling scenarios.
Time Saved: 2 hours per video workflow.
Driving Efficiency, Elevating Quality: The Impact Story
Faster Turnaround (60–70% Reduction)
Test case creation time was cut dramatically, accelerating release cycles.
Improved Test Precision (25–30% Improvement)
Test coverage was expanded to capture edge cases and boundary conditions precisely.
Lean Operations
Manual effort was sharply reduced, enabling smarter resource allocation and cost savings.
Effortless Scale
The solution was successfully deployed across multiple workflows and application domains.
About Indium
Indium is an Al-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative Al, Product Engineering, Intelligent Automation, Data & Al, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact.
With 5,000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology-driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an Al-first world.
