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AI-Augmented Testing Service
AI-powered QA engineers for your product. Fully managed.
When AI-Augmented Testing brings the most value
Scaling QA is slow and costly
Senior QA engineers take months to find and onboard. Sprints don't pause while you recruit, so you lose coverage just as release volume climbs.
AI tools run as a black box
Most AI testing tools promise speed but hide how they function and make decisions. On a quality-critical product, you can't sign off on releases you can't audit.
Test maintenance outweighs test coverage
A single UI change can break a stack of tests at once. Your engineers spend sprint time patching scripts instead of adding coverage, and a suite they can't trust gets ignored.
QA impact is invisible to the business
When it comes to QA ROI, your testing dashboard is read as activity metrics with no business value. QA is taken as a line item rather than a release lever.
Releases wait on QA
Your dev team releases every sprint, but QA verification can't keep up. Manual checks become the bottleneck between code completion and release.
Regression eats the manual time
Manual regression can take up to 60% of QA capacity. That leaves little room for exploratory testing, complex edge cases, or the high-risk areas that break in production.
Testing areas we cover with AI-powered approach
Our engineers control every AI capability and fit it into your workflow.
AI-powered test case generation
- Our engineers use AI to turn specs and user stories into test cases in minutes.
- You get broader coverage from the first sprint, without writing every case by hand.
Anomaly detection
- AI flags behavior that deviates from expected patterns across test runs.
- You surface issues that scripted checks miss, before they reach your users.
AI-driven regression testing
- AI ranks your regression suite by risk and runs the highest-impact tests first.
- You catch the breaks that matter before release, even when the window is tight.
Self-healing test automation
- When your UI changes, AI updates the affected scripts instead of letting them break.
- You save time and resources that would otherwise be spent on test maintenance.
Predictive defect scoring
- AI scores modules by defect likelihood using code change and history signals.
- Your team reviews and tests the riskiest areas before the release.
AI coverage analysis
- AI maps your tests against the product and shows where coverage gaps sit.
- You see blind spots in plain terms and close them on purpose, not by guesswork.
AI at full potential, with our testers in control
What the AI does
Generates test cases from specs and user stories in minutes
Repairs broken automation when the UI changes (self-healing)
Scores likely defects before release, so teams fix the riskiest first
Selects the highest-risk regression tests to run first
What our engineers own
The final call on whether a release is ready to be delivered
Complex edge cases and business logic, AI can't reason about
Test strategy, scope, and risk priorities for your product
Accountability for quality, with every AI decision auditable
How to start with AI-Augmented Testing
01
Reach Out
You fill out the form on this page, tell us about your product and quality bottlenecks.
02
Meet to Discuss Your Needs
We hold a short online meeting to understand your needs, release flow, and testing priorities. This is where we work out whether AI augmentation fits your case.
03
Sign an NDA
We sign an NDA before reviewing anything sensitive, ensuring confidentiality.
04
Grant Access
You provide access to your test environment, documentation, and target devices, so our engineers can scope the work against your real setup.
05
Get Your Free Estimation
Our engineers assess the scope and prepare a detailed estimate of effort, timeline, and where AI augmentation saves the most QA time. The estimation is free.
06
Review the Estimation Together
We walk you through the estimate in a follow-up meeting.
07
Agree on Scope and Sign Off
Once you approve the scope, we sign the service agreement and lock in a start date.
08
Start Testing in 1-3 Days
Our engineers onboard your stack and begin AI-augmented testing within days. 30% of QATestLab projects start within one day of signing.
There are three ways AI and testing meet. QATestLab runs all three:
Let’s get your AI-augmented testing set up
Fill out the form, and we'll create an AI-augmented Testing approach scoped to your product, stack, and timelines.
Cases
Scaling Test Automation with AI for an IoT Platform
To clear a growing backlog of automation across mobile & web IoT products, QATestLab brought AI into its automation workflow. The team sped up test automation by ~2.4× faster; other results are in the case.
Automating QA Documentation with AI Assistants
To free Manual QA teams from repetitive documentation, we built three production LLM assistants that generate bug reports, test cases, and checklists, all aligned with internal templates and corporate standards.
Scaling QA for an AI-Powered Investing Platform
To release investment features faster, we paired its QA engineers with AI-assisted test documentation across 15 iOS and Android devices. The approach cut the QA onboarding time and boosted reliability.
