The AI Test Agent That Writes Your Test Cases
AI-powered test management and QA automation: generate test cases from user stories, explore edge cases, and create test plans — with a built-in AI test agent, native GitHub sync, and MCP integration.
Everything you need to modernize QA
From requirement analysis to test execution, powered by AI built for quality engineering.
AI Test Case Generator
TestMap.ai goes beyond simple text generation. It builds a deep semantic understanding of your entire project — documentation style, domain terminology, testing rules — and generates test cases that look like they were written by your best QA engineer.
Seamless Integrations
Connect with the tools you already use. Import requirements from GitHub and generate test cases in seconds. Changes sync back automatically.
Real-time Collaboration
Work together on test plans. Comment, review, and approve test cases in real-time. Role-based permissions keep your workflow organized.
Test Run Management
Execute test runs, track results, and create bug reports directly within TestMap.ai. Full traceability from requirement to test result.
AI Test Agent Chat
Generate test cases through a conversational AI interface. Describe your feature in plain English and get a complete test suite — including BDD, exploratory, and edge case scenarios.
MCP Integration for AI Testing
Connect Claude Desktop, Cursor, or any MCP-compatible AI assistant to your TestMap.ai workspace. Access test cases from your AI chat interface. Learn more
How TestMap.ai Works
Three steps from requirement to executed test case — with AI doing the heavy lifting at every stage.
Connect & Analyze
Connect your GitHub repository — or paste requirements directly. TestMap.ai analyzes user stories, acceptance criteria, and documentation to build a semantic model of your product. Setup takes under 5 minutes and requires no configuration files.
Generate & Refine
The AI generates fully structured test cases: prerequisites, step-by-step instructions, expected results, and coverage labels (happy path, edge case, security, performance). Use the AI Agent chat to refine, expand, or regenerate any subset. Switch between traditional, BDD, and exploratory styles with one click.
Sync & Execute
Manage test execution directly within TestMap.ai's modern runner interface. Mark test results, create bug reports with one click, and sync everything back to your issue tracker. Full traceability from requirement to defect, automatically.
Try the AI Assistant
See how TestMap.ai generates test cases in seconds. Pick a scenario below.
Why teams choose TestMap.ai
See how AI-native test management compares to traditional approaches.
| Feature | TestMap.ai Recommended | Traditional TMS | Manual Spreadsheets |
|---|---|---|---|
| AI test generation | Native | No | No |
| GitHub sync | Native | Partial | Manual |
| Setup time | < 5 minutes | Days | Hours |
| BDD / exploratory styles | Yes | No | No |
| AI agent chat interface | Yes | No | No |
| Cost to start | Free | $$$ | Free |
Simple, Transparent Pricing
Start free, upgrade as your team grows. No credit card required to start.
Starter
Perfect for individual QA engineers and small teams getting started with AI testing.
- Up to 3 projects
- 50 AI-generated test cases/month
- GitHub integration
- Community support
Pro
For growing QA teams that need high-volume AI generation and full integration coverage.
- Unlimited projects
- 1,500 AI test generations/month
- All integrations
- AI Agent chat interface
- MCP integration
- Browser extension
- Android app for mobile testing Coming Soon
- Priority support
Enterprise
For organizations that need SSO, SLA guarantees, and dedicated engineering support.
- Everything in Pro
- SSO / SAML
- SLA guarantee
- Dedicated success manager
- Custom AI model configuration
Frequently Asked Questions
Everything you need to know about AI test management with TestMap.ai.
AI test case generation uses large language models to automatically create structured test cases from requirements, user stories, or plain English descriptions. TestMap.ai analyzes your input, applies testing techniques like boundary value analysis and equivalence partitioning, and produces ready-to-use test cases with steps, expected results, and coverage labels.
Traditional test management systems require QA engineers to write every test case manually — time-consuming and expensive. TestMap.ai eliminates that bottleneck with native AI generation: you provide a user story or requirement and get a complete set of test cases in seconds. Setup takes under 5 minutes and integrates with your existing tools.
Yes. TestMap.ai integrates with GitHub. You can connect your repositories, import context from your codebase, and sync generated test cases back to your workflow automatically.
Yes. TestMap.ai offers a free Starter plan with no credit card required. You can start generating test cases immediately after signing up.
MCP stands for Model Context Protocol — an open standard that lets AI assistants like Claude Desktop and Cursor access external tools and data sources. TestMap.ai's MCP server lets your AI assistant read, search, and manage your test cases directly from a chat interface. Learn more about MCP integration.
Yes. TestMap.ai supports multiple generation styles including traditional step-by-step, BDD (Gherkin Given-When-Then format), and exploratory testing formats. You can switch styles per project or per generation request.
Yes. TestMap.ai uses industry-standard encryption in transit and at rest. Your test data is isolated per organization and never used to train AI models.
TestMap.ai uses leading frontier AI models fine-tuned for software quality engineering tasks. The platform applies your project's custom rules, terminology, and testing techniques on top of the base model to deliver context-aware results that match your team's standards.
An AI test agent is an autonomous software tool that generates, organizes, and manages test cases using artificial intelligence. TestMap.ai's built-in AI test agent lets you describe features in plain English and receive complete test suites — including BDD scenarios, edge cases, and exploratory tests — through a conversational chat interface.
Yes. TestMap.ai is a modern, AI-native alternative to TestRail and other traditional test management tools like Zephyr and Qase. While those tools require manual test case authoring, TestMap.ai generates test cases automatically from user stories using AI. It also offers native GitHub sync, an AI test agent chat, and MCP integration — features that legacy tools lack.
Yes. You can combine Playwright MCP for browser-based test recording with TestMap.ai's MCP server for test case management. This lets AI assistants like Claude or Cursor record tests via Playwright and store them in your TestMap.ai workspace — creating an end-to-end AI QA automation workflow.
About TestMap.ai
TestMap.ai is an AI-native quality management platform built for software engineering teams that ship fast. Founded by engineers who spent years manually writing test cases in spreadsheets and legacy tools, TestMap.ai was created with a single goal: eliminate the bottleneck between requirements and test coverage.
The platform combines AI test case generation, test run management, and GitHub integration into a single, fast interface. Unlike generic AI writing tools, TestMap.ai is purpose-built for QA: it understands testing techniques, generates structured test artifacts, and learns from your team's conventions over time.