QApilot's CoWork
CoWork transforms your existing manual test cases into automated mobile testing workflows—combining AI-driven execution planning with human oversight to run comprehensive regression suites on real devices before every release, without writing a single line of code or expanding your team.
Product Highlights
- Agentic AI Planning: Converts natural-language test cases from Jira, TestRail, or spreadsheets into structured execution plans that understand starting states, required actions, and expected outcomes
- Human-in-the-Loop Control: Pauses for approval when unexpected popups, screen changes, or flow variations occur—ensuring test intent never changes silently
- Real Device Execution: Runs tests on actual Android, iOS, and Flutter devices with built-in handling for dynamic content, interruptions, and evolving user journeys
- Adaptive Replanning: Automatically proposes next-best actions when application reality diverges from expected paths, then resumes seamlessly after human input
- Zero Scripting Required: Eliminates the need to build new automation frameworks, hire additional QA engineers, or maintain brittle test scripts
Use Cases
- Pre-Release Regression Testing: Activate dormant test inventory before every deployment to catch regressions across complex mobile user journeys without capacity constraints
- Legacy Test Case Revival: Convert years of accumulated manual test cases from spreadsheets and TMS tools into runnable automation without rewriting or re-engineering
- Flaky Test Reduction: Replace brittle scripted automation with AI that adapts to UI changes, popups, and timing variations that break traditional test suites
- Cross-Platform Mobile Validation: Execute the same test logic across Android, iOS, and Flutter builds with native understanding of platform-specific behaviors
Target Audience
Mobile QA teams, release managers, and engineering leaders at mid-to-large organizations who have accumulated hundreds or thousands of manual test cases but lack the time, headcount, or maintenance bandwidth to convert them into traditional automation—yet need reliable pre-release coverage that keeps pace with shipping velocity.