AI Test Case Generator
Turn acceptance criteria into a complete, structured test suite — covering happy paths, negative scenarios, edge cases, and state transitions — in under two minutes.
What is a test case generator?
A test case generator takes a description of what a feature should do — its acceptance criteria, test type, and context — and produces a structured set of test cases ready for execution. Instead of writing each test case manually from a blank page, you define the inputs once and the generator produces the full coverage: success flows, failure flows, and the edge conditions in between.
Evaficy Smart Test's AI test case generator is built into the platform alongside scenario management, expert validation, and step-by-step test execution — so the test cases you generate flow directly into the rest of your QA workflow without any export or copy-paste.
How the AI test case generator works
Four steps from blank scenario to complete, reviewable test suite.
01
Describe what you're testing
Select the test type (functional, regression, smoke, UAT, and more), the component or page being tested, and any custom fields specific to your application — such as user roles, environments, or feature flags.
02
Add your acceptance criteria
Add your acceptance criteria using the built-in Requirement field, or create a custom field named "Acceptance Criteria". The AI reads your conditions, constraints, and expected behaviours to understand exactly what the feature must do — and what it must not do.
03
AI generates the full test suite
The generator produces a complete set of test cases covering the happy path, negative scenarios, edge cases, and boundary conditions — structured with steps, expected results, and preconditions, ready to review.
04
Review, refine, and save
Edit any generated test case, add manual cases alongside the AI output, and save the complete scenario. Submit for expert validation by a Product Owner or Tech Lead before running your first test execution.
What types of test cases get generated?
The AI generates four distinct test case categories for every scenario — not just the obvious success flow.
Happy Path
The primary success scenario — the user provides valid input and the system responds correctly. Every feature needs at least one happy path test case.
Negative Scenarios
Invalid inputs, missing required fields, unauthorised actions, and system error conditions. What happens when the user does something wrong?
Edge Cases
Inputs at the limits of valid ranges, empty states, maximum lengths, special characters, and concurrent actions that standard testing often misses.
State Transitions
Multi-step flows where the system state changes between steps — registration sequences, checkout flows, approval workflows, and status changes.
Manual test case writing vs. AI generation
The same feature, two approaches.
Writing test cases manually
- Start from a blank document for each new feature
- Happy path covered; edge cases often missed under time pressure
- Test case quality varies by tester experience
- Re-writing required after requirements change
- Average: 2–4 hours per scenario
AI test case generator
- Full test suite generated in under a minute
- Happy path, negative paths, edge cases, and state transitions — all covered
- Consistent structure and depth regardless of who runs the generation
- Regenerate instantly when acceptance criteria change
- Average: under 2 minutes per scenario
Built for every role in your QA team
QA Engineers
Generate a complete first draft of test cases in minutes rather than hours. Use the AI output as a starting point, then add the edge cases only you know about from experience with the system.
Tech Leads
Review AI-generated scenarios and approve them for execution in one step. The validation workflow puts you in control of what gets tested without requiring you to write every test case from scratch.
Product Owners
Confirm that the test cases cover your acceptance criteria before the team starts testing. Approve or request changes directly in the platform — no spreadsheets, no back-and-forth emails.
Learn more about AI test case generation
AI Test Case Generation — How It Works
What the AI analyses, how it structures test cases, and what inputs produce the best output.
Writing Effective Inputs for AI Generation
How to write test types, custom fields, and acceptance criteria that unlock precise test suites.
AI vs. Manual Testing — When to Use Each
A practical comparison and how to run a hybrid workflow that gives you speed and depth.
Generate your first test suite in under two minutes
Free trial available. Works with any feature description or acceptance criteria you already have.