Phase 1: AI-Powered Application Discovery
When the new application comes in, the first thing is not to automate anything yet.
What We Do
- Perform the application analysis with AI
- Scan UI screens, flows, forms, and modules
- Recognize user roles and permissions
- Find out about the integration and data flow
- Gain insights into business processes
- Create structured documentation
Deliverables
- SRS Documentation
- Modules Documentation
- Flow Charts
- Feature List
- Access Control Table
- Locators Repository
- Test Coverage Matrix
Result
No need to analyze hundreds of screens manually: thanks to AI, you can gain a full understanding of the application within several hours.
Phase 2: Designing Test Strategy & Framework
Upon generating the documentation, we turn business requirements into automation artifacts.
What We Do
- Determine scope for automation
- Determine critical user flows
- Generate test scenarios
- Generate test data needs
- Define assertions
- Design Playwright Framework architecture
Components of Framework
- Playwright + TypeScript
- Page Object Model (POM)
- Reusable Utility
- Environment Management
- HTML Report
- Allure Report
- Screenshot Capture
- Ready CI/CD structure
Result
Automation Framework gets designed even before test cases are written.
Phase 3: AI-Assisted Test Cases Writing
Rather than write test cases manually:
What We Do
- Use Generated Documentation
- Translate Requirements into Automation Scenarios
- Generate Playwright code
- Generate Reusable Page Objects
- Built validation and assertion
Coverage Areas
- Functionality Testing
- UI Validation
- Responsive Testing
- Accessibility Testing
- SEO Validation
- Security Tests
- API Validation
- Integration Testing
Result
Hundreds of test cases get generated fast while keeping consistency.
Phase 4: Automated Execution
When automation is set:
What We Do
- Execution of Playwright suites
- Cross browser testing
- Taking screenshots
- Generating console errors
- Checking for network failures
- Generation of execution artifacts
Reports Created
- Playwright HTML Report
- Allure report
- Logs of execution
- Screenshots
- Video
- Network traces
Result
Total visibility into the quality of the application.
Phase 5: Intuitive Report Analysis
Human QA expertise is important in this phase.
What We Do
Analyze each defect and categorize it as:
True Application Defect
Examples include:
- 500 server error
- Defective functionality
- Bad business logic
- Validation problems
Automation Framework Defect
Examples include:
- Wrong locator
- Synchronization problem
- Assertion problem
- Test data problem
Environment Defect
Examples include:
- Down API
- Database problem
- Integration problem with third party
Result
False positive are removed from the reporting of defects.
Phase 6: Framework Optimization
Before filing any bugs:
What We Do
- Locator fixing
- Flaky test fixing
- Wait optimizations
- Assertion updates
- Framework utilities optimization
- Rerun failed tests
Purpose
To ensure that all reported bugs are indeed bugs and not automation bugs.
Result
Greater certainty about test result validity.
Phase 7: Bugs Ready for Developers
Only confirmed bugs will be provided to developers.
What We Deliver
- Priority (P0-P4)
- Module Name
- Test steps to reproduce
- Expected result
- Actual result
- Screenshot
- Video evidence
- Network logs
- Root cause analysis
Bug Classification Example
| Priority | Description |
|---|---|
| P0 | System crash / data loss |
| P1 | Business flow broken |
| P2 | Major functionality bug |
| P3 | Minor functionality bug |
| P4 | UI / cosmetic issue |
Result
Actionable bugs for developers.
Phase 8: Continuous Improvement
At the end of each execution cycle:
What We Do
- Document update
- Framework coverage improvement
- Missing test case identification
- Trending defects
- Application quality metrics monitoring
Success Metrics
- Pass rate
- Failure rate
- Defect leakage
- Automation coverage
- Flakiness reduction
- Execution time
Final Quality Assurance Philosophy
AI Does
- Application analysis
- Documentation creation
- Test cases creation
- Framework acceleration
- Reports aggregation
QA Engineer Does
- Test strategy
- Business validation
- Exploratory testing
- Failure analysis
- Framework optimization
- Failure verification
- Bug identification
- Release decision
Final Process
Application analysis → Documentation creation → Playwright Framework development →
Test generation → Automation Execution → Reports analysis → Framework fixing →
Failure verification → Bug reporting → Developer support → Framework coverage improvement
This process flow correctly depicts the workflow being followed. It shows AI as an
accelerator whereas the QA engineer is still the one responsible for validation and decisions.