Project Name
Accelerating Test Design by 75% and Bridging Manual-to-Automation Gaps with TestRail AI
Our client is a fast-growing software company operating in an environment where AI-assisted coding tools have materially accelerated development velocity. With software updates shipping faster than ever, the QA function faces a structural challenge: sprint backlogs scale with development speed, but test case authoring does not.
The team operates a manual testing practice responsible for building and maintaining a comprehensive TestRail test suite, with an increasing mandate to extend coverage into automated regression through Playwright and Selenium.
At the time of engagement, the gap between the rate at which new features arrived and the rate at which quality coverage could be established was widening, a dynamic that demanded a fundamental change to how test cases were authored, not merely who was authoring them.
QA teams spent most of their time creating test case boilerplate while new features accumulated faster than they could be thoroughly tested.
- Blank Page Syndrome Every Sprint: Each sprint began with an empty test repository, forcing testers to manually write preconditions, test steps, and expected results before meaningful testing could even begin.
- Boilerplate Replacing High-Value QA Work: Repetitive steps such as login, navigation, and basic validation consumed valuable time that could have been spent on exploratory, risk-based, and boundary testing.
- Edge Cases Frequently Overlooked: Tight release schedules left little time for boundary conditions, negative scenarios, and asynchronous workflows, resulting in predictable coverage gaps.
- Inconsistent Test Repository Structure: Test cases varied in format, detail, and terminology, making regression execution, maintenance, and reporting more difficult.
- Growing Test Debt Reducing Release Confidence: Development outpaced manual test authoring, causing test coverage gaps to grow with every sprint and increasing release risk.
Ksolves, an AI-first company offering top-notch quality assurance services, implemented TestRail AI across the test authoring and automation workflow using a strict Human-in-the-Loop (HITL) model.
- Two-Phase AI Sandbox – Eliminating Blank Page Syndrome: Testers simply paste user stories or acceptance criteria into TestRail AI. In Phase 1, AI generates structured test titles covering happy paths, negative scenarios, and boundary cases. In Phase 2, testers review, edit, or remove suggestions before approving them for expansion into complete test cases with preconditions, steps, and expected results.
- Multi-Template Support – Procedural & BDD: TestRail AI generates test cases in the required format, whether traditional step-by-step procedural tests or native BDD Gherkin (Given-When-Then) scenarios, enabling consistent workflows across different testing approaches.
- Governed Repository Growth – Zero Test Debt: Every AI-generated test case passes through a mandatory human approval step before being added to the repository, ensuring consistent quality, preventing repository clutter, and maintaining confidence in QA reporting and release readiness.
Technology Stack
| Category | Technology |
|---|---|
| Platform | TestRail |
| AI/ML | Sembi IQ Engine |
| Methodology | Human-in-the-loop |
| Methodology | BDD / Gherkin |
| Automation | Playwright / Selenium |
By combining AI-assisted test generation with human oversight, we helped the QA team accelerate test creation, improve coverage, and scale quality assurance without compromising accuracy.
- 75% Faster Test Case Authoring: A 25-case test suite that previously took 4.5 hours to create is now completed in 1.1 hours, significantly increasing test authoring capacity across sprints.
- 85% More Time for Exploratory Testing: With repetitive documentation automated, testers now spend most of their time on exploratory testing, risk analysis, and boundary validation instead of manual drafting.
- 90% Faster Requirements-to-Test Pipeline: TestRail AI converts business requirements into structured, executable test scripts in minutes, eliminating lengthy manual drafting and reducing the cycle time by 90%.
- Systematic Edge Case Coverage: AI consistently generates boundary conditions and negative test scenarios, ensuring critical edge cases are no longer overlooked under time pressure.
- 100% Human-Verified Repository: Every AI-generated test case is reviewed and approved by QA engineers before entering the live repository, ensuring trusted and accurate test coverage.
- Consistent Repository Structure: Standardised AI-generated templates create a uniform test repository, simplifying regression execution, maintenance, and milestone reporting.
By implementing TestRail AI with a Human-in-the-Loop review process, Ksolves transformed test authoring from a manual bottleneck into a scalable, AI-assisted workflow. Routine documentation is automated, while QA engineers retain full control over review and approval, ensuring quality is never compromised. The result is faster test creation, broader test coverage, a consistent repository, and a significantly shorter path from requirements to automation.
Is Your QA Team Still Spending Hours Typing Boilerplate Before any Real Testing can Begin?
