Autonomous testing
Autonomous testing: what it is and how it works
Autonomous QA is not test generation with a nicer interface. It is a loop: understand, decide, create, execute, analyze, adapt.
AI-Powered Software Testing · Autonomous QA · Continuous Testing
AmbientQA is an AI-powered autonomous testing platform that understands your application, decides what needs to be tested, creates and executes tests, analyzes failures, and continuously adapts as your product changes.
Expand test coverage, get faster feedback, and release with greater confidence - without continuously adding test creation and maintenance work to your QA team.
Any stack. With or without existing test automation.
Built by Skillo, a software engineering and QA company with years of experience delivering complex software products.
The QA challenge
Modern teams ship continuously. Features change. Interfaces evolve. User journeys multiply.
But testing still requires teams to decide what to test, build and maintain automation, and investigate failures.
More releases. More tests. More maintenance. Yet the real question remains: did we test the right things before we shipped?
Traditional automation made test execution faster.
AmbientQA makes QA autonomous.
1. Manual Testing
Thorough, but can’t keep up.
Product development
Manual testing
Always catching up
2. Traditional Automation
Faster execution, but high maintenance.
Product development
Automated testing
Still catching up
3. AmbientQA
Autonomous testing that keeps up with your product.
Product development
AmbientQA
Always in sync
How AmbientQA works
Traditional automation executes the tests your team creates.
AmbientQA goes further: it continuously determines what should be tested, creates and executes the tests, analyzes the results, and adapts as your product changes.
01
AmbientQA learns your application, its functionality, user journeys, requirements, documentation, and existing testing context.
02
It identifies what needs testing and prioritizes coverage based on product changes, behavior, and risk.
03
AI testing agents generate relevant test scenarios and can build from scratch or improve existing automation.
04
Tests run automatically and can become part of your existing development and CI/CD workflow.
05
AmbientQA investigates failures, separates likely product issues from testing noise, and gives your team actionable context.
06
As the application changes, AmbientQA updates its understanding and evolves the testing approach.
The result is QA that evolves with the product instead of constantly catching up with it.
Coverage intelligence
A passing regression suite doesn’t mean your application is fully tested.
AmbientQA builds a continuously evolving view of your application’s test coverage, showing which functionality and user journeys are validated, and where meaningful gaps remain.
Instead of measuring quality by the number of tests you have, AmbientQA helps you understand what is actually covered, what is missing, and where the greatest risk remains.
See your coverage. Find the gaps. Prioritize the risk.
Autonomous test creation
AmbientQA identifies relevant test scenarios from your application, requirements, user journeys, and existing testing context - then turns them into executable tests. Your QA team stays in control of testing strategy and critical quality decisions while AmbientQA handles the repetitive work of expanding automated coverage.
Less test authoring. More actual testing.
Failure analysis
AmbientQA analyzes failures and helps distinguish likely product defects from test issues, environmental problems, and flaky behavior. Instead of another red test in a dashboard, your team gets the context needed to act: what failed, where it failed, what changed, and what is most likely responsible.
What failed. Where it failed. What changed. And what is most likely responsible.
Spend less time investigating testing noise and more time fixing real problems.
Continuous adaptation
Traditional automated tests often break when interfaces and user flows change and that creates another maintenance task for your team.
AmbientQA understands product changes in context and adapts its tests accordingly, reducing the maintenance work normally created by evolving interfaces and user journeys.
Your team builds the product. AmbientQA keeps testing it.
Traditional automation
With AmbientQA
1. Before
Test passes
Test passing All steps completed
Test steps
2. Product changes
UI is updated
Test would normally fail Element not found
What changed?
3. AmbientQA adapts
Change detected and test continues
Test adapted Testing continues
What AmbientQA does
AmbientQA Benchmarks
We benchmark AmbientQA against alternative testing approaches and AI models under comparable conditions. See how it performs across test creation, execution, coverage, adaptation, and failure analysis - with the methodology behind every result.
Real tests. Comparable conditions. Measurable results.
Human QA + AmbientQA
Great QA still requires judgment, product knowledge, creativity, and an understanding of risk. AmbientQA adds autonomous testing capacity around your team, taking on repetitive work while your QA professionals stay focused on strategy, complex risks, and release decisions.
AmbientQA handles
Your team owns
Give your QA engineers more time to think about quality, and less time maintaining tests.
Who AmbientQA is for
Whether you build your own products or deliver software for clients, AmbientQA gives your teams additional testing capacity without requiring repetitive QA work to grow with every project, feature, or release.
Keep testing aligned with a fast-changing product. Expand coverage and release more confidently without growing QA effort at the same rate as product complexity.
Add autonomous testing capacity across client projects, strengthen delivery quality, and support more development work without having to scale QA teams project by project.
Reduce repetitive regression and test maintenance, expand coverage, and get faster feedback while keeping your team focused on quality strategy and complex risks.
Integrate autonomous testing into established QA and CI/CD processes while maintaining control over quality strategy, workflows, and release decisions.
Fits your stack
AmbientQA works within your existing engineering setup - your technology stack, testing architecture, CI/CD pipeline, and project context. No technology migration and no requirement to replace the automation you already have.
Any programming language. Any technology stack.
Start from scratch or build on the automation you already have. AmbientQA can understand, reuse, improve, and maintain existing tests while adding new coverage - without forcing you onto a new testing framework.
AmbientQA
Your project
Test automation
Validated, with an architecture designed to work with other frameworks.
Delivery
Runs as part of your existing delivery pipeline.
Context
Requirements, user stories, acceptance criteria and documentation as testing context.
Deploy your way
No technology migration. No need to start your automation again. AmbientQA fits into the way your team already builds and ships software.
Enterprise-ready deployment
Choose how AmbientQA fits into your environment. Deploy it within your infrastructure, through AmbientQA Cloud, or in a hybrid setup - without redesigning your engineering and QA processes around the platform.
Run AmbientQA inside your infrastructure, as an agent or container, through the AmbientQA Cloud, or using a hybrid setup.
Connect the application, tests, requirements, and documentation AmbientQA needs while keeping control over your engineering environment.
Continue using your existing testing frameworks, CI/CD pipelines, repositories, and QA processes.
Autonomous QA without rebuilding your engineering environment around the tool.
Business value
Continuously test more of the product without manually scripting every scenario.
Find problems closer to the change that caused them.
Reduce the time engineers spend repairing brittle automated tests.
Understand failures before your team starts investigating them.
Increase testing capacity as your products and projects grow without increasing repetitive QA work at the same rate.
Know what has been tested, what hasn’t, and where the remaining risk is.
AmbientQA in practice
Measure what changes when AmbientQA is applied to real testing workflows - from coverage and test creation to maintenance effort, regression cycles, and failure investigation.
More test coverage. Logical coverage, not code.
Less test maintenance.
Faster failure investigation.
Additional scenarios identified.
Reduction in time required to create and bring automated tests into execution.
Reduction in the time required to complete regression testing.
Measured on real testing workflows. Not theoretical productivity claims.
Pricing
AmbientQA pricing is based on your testing needs, application complexity, execution volume, and deployment model. Tell us about your current QA setup and we’ll recommend the right configuration.
FAQ
AmbientQA is an AI-powered autonomous quality assurance platform that understands software applications, identifies what needs testing, generates or improves tests, executes them, analyzes failures, and adapts testing as the product changes.
Traditional test automation executes predefined scripts created and maintained by people. AmbientQA uses AI testing agents across the testing lifecycle: understanding project context, identifying scenarios, creating or improving tests, executing them, analyzing results, and adapting as the product evolves.
No. AmbientQA is designed to automate repetitive testing work while QA professionals retain responsibility for quality strategy, exploratory testing, complex risk assessment, product judgment, and critical release decisions.
No. AmbientQA can start from scratch or work with an existing automation setup. Where existing tests are available, it can understand, reuse, improve, and maintain them.
AmbientQA has been validated with Playwright, WebDriver, and Appium. Its architecture is technology-agnostic and designed to support other frameworks based on the customer’s environment.
Yes. AmbientQA can run within existing delivery workflows, including GitHub Actions, GitLab CI/CD, Azure DevOps, and Jenkins.
Yes. AmbientQA can consume project context such as requirements, user stories, acceptance criteria, test cases, and documentation from Jira and Confluence.
Depending on the setup, AmbientQA can run inside the customer’s infrastructure, as an agent or container, connected to the AmbientQA cloud, or in a hybrid configuration.
AmbientQA is designed with an open, technology-agnostic architecture and can be integrated with additional testing, project management, communication, and development tools based on the customer’s environment. Only validated integrations are named elsewhere on this site as ready integrations.
AmbientQA is designed to understand changes in context and adapt how it tests the application, reducing unnecessary maintenance caused by routine product changes. This approach is commonly described as self-healing test automation.
AmbientQA analyzes failures and provides context to help distinguish likely product regressions from test issues, environmental problems, or flaky behavior, reducing the amount of manual triage required from the QA team.
About AmbientQA
AmbientQA wasn’t created because AI became fashionable.
It grew out of years of building software, working with QA teams, creating test automation, and watching the same problem repeat itself: the faster software evolves, the harder traditional testing becomes to maintain.
Automation solved part of the problem. But teams still have to decide what to automate, create the tests, maintain them, investigate failures, and constantly keep coverage aligned with a changing product.
We believe the next step in software testing is not simply more automation. It is QA that can understand what needs testing, act on it, learn from the results, and adapt as the software changes. That is what we are building with AmbientQA.
That’s why we’re building AmbientQA.
Resources
How AI testing agents, autonomous QA and self-healing test automation actually work, written for the teams that have to run them.
Autonomous testing
Autonomous QA is not test generation with a nicer interface. It is a loop: understand, decide, create, execute, analyze, adapt.
AI test automation
A script executes what someone decided last quarter. An agent decides, writes, runs and re-reads the result, and the difference shows up in maintenance.
Test maintenance
Self-healing is not guessing at a broken selector. It is understanding the change in context and deciding whether the journey still means the same thing.
Contact us
Want to understand whether AmbientQA will work with your stack, pipeline, or existing test automation? Tell us about your setup and talk directly with the team building the product.
Tell us about your setup
Book a demo
See AmbientQA work on a real product: how it understands the application, identifies what needs testing, creates and executes tests, finds coverage gaps, and analyzes failures.
No generic sales deck. We’ll focus on your product, your QA process, and where autonomous testing can create measurable value.
Ready to see what AmbientQA could do for your QA process? Book your demo.
Book a 30-minute demo