Implementing Perfecto AI transformed the way we approached testing. By automating processes that once required significant manual effort, we were able to reduce our test code by as much as 80%, drastically improving efficiency and allowing our team to focus on innovation.
Independent Health, a leading health plan provider, sought to overcome the bottlenecks of traditional test automation. Facing brittle tests and high maintenance costs, the organization partnered with Perfecto to implement agentic AI-driven testing.
By adopting Perfecto AI, the organization transitioned to intent-based testing, replacing hundreds of lines of code with simple natural language statements. The result is a robust, self-healing testing ecosystem that reduces maintenance, handles complex UI validations, and accelerates the delivery of critical digital health services.
Back to topThe Challenge: The "Maintenance Trap" of Scripted Testing
Despite having an established automation strategy, Independent Health identified significant inefficiencies in their software delivery lifecycle. According to Chris Trimper, Senior Solution Architect at Independent Health, the team was spending a disproportionate amount of time simply keeping existing tests alive.
The key challenges included:
- 70% of Time Spent on Maintenance: Minor UI changes often caused false failures, requiring constant intervention that hindered innovation.
- Slowed Release Cycles: Rapid application changes led to frail regression testing suites, making testing unreliable and slowing down release cycles.
- Complex UI Validation: Healthcare applications involve dynamic data visualizations that are difficult to test with traditional scripts, such as deductible charts and dynamic forms.
- Fragmented Team Efforts: Testing across different platforms (web, mobile, iOS, Android) required duplicating efforts and maintaining separate frameworks.
The Solution: Agentic AI and Intent-Based Testing
Independent Health turned to Perfecto to implement AI-driven testing that would address their test creation and maintenance challenges.
Instead of writing rigid code that breaks when a button ID changes, the team could write natural-language test steps based on user intent rather than technical implementation details.
When the team would write a prompt such as, "Log in to the member portal," Perfecto AI would autonomously execute that action on the screen. Perfecto's AI-powered test creation capabilities enables tests to run while understanding the semantic objective, regardless of the underlying code structure.
Transforming Complex Workflows
The impact of AI-driven test automation was demonstrated in a complex member registration flow. A traditional manual test for this process involved 20 complex steps, which translated to over 200 lines of scripted automation code.
Using Perfecto’s AI, Independent Health reduced this entire workflow to just two intent-based statements:
- Register with specific member details.
- Select a plan type and verify the account home page.
This shift represented a 99% reduction in test code, drastically simplifying the creation and maintenance process.
Intelligent Adaptability
Perfecto’s AI also demonstrated adaptability.
During testing, when the AI encountered a dropdown for "Commercial Plans" but only found options for "Individual" or "Employer-Based" plans (ruling out Medicare and Medicaid), it correctly inferred the relationship and proceeded without error.
Furthermore, when unexpected pop-ups (such as paperless document prompts) appeared, Perfecto's AI autonomously decided to dismiss them to focus on the core objective. Conversely, pop-ups would have caused a hard failure in a traditional script.
Back to topThe Results: Enhanced Resilience and Operational Gains
With Perfecto AI, Independent Health has achieved outcomes that go beyond simple time savings, fundamentally changing how they view quality assurance.
With Perfecto AI, Independent Health transformed their testing efficiency and minimized disruptions caused by environmental variables. Beyond simple time savings, the organization achieved:
- Up to 80% Reduction in Test Code: Complex flows including dynamic elements such as GUI card dropdowns and pop-ups are now handled with minimal input, virtually eliminating technical debt.
- Faster Release Cycles: Time spent on test maintenance was reduced dramatically, allowing teams to deliver strategic objectives faster.
- Streamlined Test Execution: A single intent-based test can now run across desktop web, mobile web, iOS, and Android, ensuring consistent experiences without duplicate work.
- Improved Resource Allocation: Business testers and Subject Matter Experts (SMEs) were able to contribute directly to automation efforts without needing deep coding skills, lowering the barrier to entry for automation.
Bottom Line
Independent Health’s adoption of Perfecto AI illustrates the impact of agentic AI in test automation. The shift from brittle, maintenance-heavy scripts to resilient, intent-driven testing ensures not only greater efficiency but also enhanced reliability. Teams are now empowered to prioritize innovation over tedious maintenance tasks, accelerating feature delivery without compromising quality.
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.