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Success Story

Optimized QE Time Up to 40% Using an Intelligent, AI-Powered Test Automation Approach

Client Background

The client is a Fortune 100 U.S. telecommunications provider.

Client Need

The client sought an AI-enabled test automation framework capable of intelligently generating, executing, maintaining, and adapting test cases across digital and backend systems to address:
Fragmented test creation and maintenance cycles increasing effort and slowing releases
Limited scalability of current testing tools
Inability to adapt test cases dynamically with changing business logic and platforms

Solution

Built AIMS (AI for manual scripts), an AI-based test automation framework for recommending scripts and custom test flows
Integrated the framework with the existing ecosystem to automatically pull requirements from Jira and APIs
Enabled ingestion of requirements and user stories to generate AI-driven test cases
Created manual test steps dynamically based on user input
Established a centralized, reusable, and indexed test repository to organize script components
Added a human-in-the-loop review to validate and finalize the recommended test logic
Automated end-to-end script creation based on the approved flows
Integrated the generated scripts with CI pipelines for seamless execution and continuous testing

Realized Benefits

Streamlined test creation and automated script generation
Reduced overall quality engineering effort by 30–40%
Accelerated release cycles with consistent and reliable test coverage
Innova’s AI-driven test automation framework—AIMS—transformed the client’s quality engineering lifecycle by unifying fragmented processes, automating script generation, and enabling continuous test execution.

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