QA Copilot
QA Agent That Writes, Runs, and Heals Your Tests
AI quality assurance that turns plain-English scenarios into tests in minutes. After the initial training, Copilot re-executes suites in seconds, auto-heals flaky locators, and surfaces edge-case defects - zero script upkeep, zero release stalls.
No credit card required. Full access in under 2 minutes.
80% accuracy on benchmarks today, trained on thousands of test cases
Key advantages
What teams get with QA Copilot
AI-powered test generation
AI quality assurance starts with test generation. Create test cases from requirements, Jira tickets or screenshots, review proposals, and accept before they become real tests.
One-click automation
Automate plain-English test cases into runnable code with a single click. No programming skills required.
Auto-healing tests
Tests automatically adapt to minor app updates like text changes or DOM selector modifications, ensuring continuous execution.
Comprehensive reporting
Pass/fail summary, screenshots, logs, and full session video - everything you need in one link to review test results.
How It Works
How QA Copilot Works
Write or generate test cases in plain English, including from Jira requirements, let our AI testing tool run them on every commit, and review one link with pass/fail, screenshots, and logs.
Generate test cases using AI from product requirements, screenshots, URL and Jira requirements. QA Copilot drafts structured proposals with titles, steps, and expected results, so your team can review, edit, and accept only what matches your workflow. Learn more →
Automate Tests
Convert approved plain-English test cases into runnable automation with one click. QA Copilot maps each step to live UI actions, handles waits and assertions, and keeps tests readable so QA, product, and engineering can collaborate without writing scripts.
Run Tests
Run tests on every commit, scheduled nightly builds, manual triggers, or interval-based monitors. QA Copilot executes at scale across your suite, retries intelligently when needed, and keeps execution consistent so releases do not depend on manual regression cycles.
Review Results
Review pass/fail status, screenshots, logs, and run evidence from one shared link. Trace each failure back to the exact step, understand what changed quickly, and hand developers clear context so fixes move faster.
Benefits
Why Teams Choose QA Copilot
Save time, cut costs, and catch bugs before they reach production.
Save Hours Every Sprint
With AI software testing taking care of roughly 70% of your test cases, people only tackle the tough 30%. That means every release day you reclaim hours that manual testers would have spent clicking through the same old steps.
Cut Testing Costs by Half
AI writes and runs the test scripts, so you don't need expensive QA-automation engineers - any teammate can spin up tests in plain English - and you get full-scale test automation using AI for just a fraction of typical QA spend.
Bugs Caught Before They Cost
Every release triggers an instant, automated check-up - no waiting overnight. Because of our AI testing tool, hidden defects are caught early, turning launch day into a non-event.
Agentic QA
Agentic QA: From AI Assistant to Autonomous Testing Agent
Most AI testing tools suggest — QA Copilot acts. It runs an autonomous loop: generate tests from requirements, execute them, observe results, heal broken selectors, and deliver evidence — without waiting for a human at each step.
Agentic, Not Just Assisted
Traditional AI copilots suggest code and wait for approval at every step. QA Copilot operates as an autonomous QA agent — give it requirements, a schedule, and a target environment, and it handles the full test lifecycle end-to-end. You review results, not babysit execution.
Self-Healing Autonomy
When your app changes between releases, an assisted tool flags failures and waits for a human to fix selectors. An agentic QA tool adapts on its own — QA Copilot detects changed DOM elements, re-maps locators, re-runs the affected tests, and only surfaces genuine regressions.
Closed-Loop Evidence
Agentic QA means the agent owns the full feedback loop: run the test, capture screenshots and video at every step, log pass/fail with context, and deliver a single shareable link. Developers get actionable evidence, not a list of broken test IDs to investigate.
FAQ
Answers teams look for
What is QA Copilot and how does it utilize AI in QA?
QA Copilot is an AI-driven tool inside TestCollab that helps you generate and execute test cases end-to-end, including AI Test Case Generation from requirements or screenshots with human review before anything is created. It also converts plain English into executable test scripts, and once trained on your app, it can execute hundreds or even thousands of test cases in minutes. QA Copilot CI turbo-charges your pipeline with auto-healing tests, live metrics, and video-backed evidence - deploy faster, fear less.
Will I need programming skills to use QA Copilot?
No programming skills are necessary; QA Copilot is designed to understand test cases described in plain English.
How does QA Copilot's auto-healing feature work?
The auto-healing feature automatically adapts test scripts in response to minor app updates like text changes or DOM selector modifications, ensuring your tests continue running smoothly.
What happens if QA Copilot doesn't understand my test case?
QA Copilot will provide feedback or request clarification, allowing for iterative refinement until the test case is clear for script generation.
How can I sign up for QA Copilot?
You'll need a TestCollab account in order to enable QA Copilot. Start a free trial to get started.
How do I use Copilot for QA testing?
To use QA Copilot for testing: (1) Write test cases in plain English or generate them from requirements/screenshots, (2) Click 'Automate' to convert them into runnable tests - no coding required, (3) Run tests manually, on a schedule, or trigger them from CI on each commit, (4) Review results with pass/fail status, screenshots, logs, and video in one link. QA Copilot handles execution and auto-heals flaky locators so you can focus on coverage, not maintenance.
What is agentic QA and how is it different from AI-assisted testing?
AI-assisted testing tools suggest test cases or code snippets and wait for human approval at each step. Agentic QA goes further — the AI autonomously generates tests, executes them, observes results, heals broken selectors when the app changes, and delivers evidence. QA Copilot operates as an autonomous testing agent: you define what to test and when, and it handles execution, adaptation, and reporting end-to-end.
How does QA Copilot use AI for quality assurance?
QA Copilot applies AI quality assurance across the entire testing lifecycle: (1) AI generates test cases from requirements, screenshots, or specs, (2) AI converts plain-English tests into executable automation code, (3) AI runs and monitors test execution with smart scheduling, (4) AI auto-heals broken selectors when your app changes. This AI-driven testing strategy reduces manual effort by up to 70% while improving test coverage and reliability.
