Skip to content

Home / AI Solutions / QA with AI

QA with AI Β· Lima, Peru Β· US hours

AI-assisted QA and testing for businesses in the United States.

AI-generated test cases and automated tests, reviewed by senior QA engineers. More coverage in less time and fewer bugs in production, on your schedule.

  • Senior QA review
  • Regression, UI and accessibility
  • Fixed-price pilot
QA engineer with a magnifying glass reviewing tests next to an assistant robot holding a checklist with one bug flagged, between web and mobile screens

What is AI-assisted QA?

AI-assisted QA combines artificial intelligence, which generates and prioritizes test cases and automates tests, with review by senior QA engineers. gmedia.la, a software development company based in Lima, Peru and founded in 2010, offers this service to businesses in the United States, on Eastern/Central time and in English and Spanish, with regression, UI, API, accessibility and performance testing and a fixed-price pilot.

What it looks like

Tests that run on their own and find the bug before your users do

AI proposes test cases from your requirements, the QA team reviews them, and they're automated to run on every change.

  • Coverage of critical flows: login, search, cart and checkout.
  • Bugs reported with steps to reproduce.
  • Integrated with your repository and your bug tracker.
test run Β· illustrative example
βœ“Login1.2 s
βœ“Product search2.1 s
βœ•Cart and discount couponsfailed
βœ“Card checkout3.4 s
βœ“Form accessibility1.8 s
βœ“Home page performance2.7 s
5 tests passed1 bug caught before release

What we do

Four areas where AI improves your QA

We start with the module or flow where a bug costs the most and expand from there.

01

AI-generated test cases

AI proposes test cases from your requirements, and a senior QA engineer reviews and prioritizes them.
Generation from requirements, user stories and flows Β· Scenarios that are often missed: edge cases and invalid data Β· Prioritization by risk and business impact Β· Review and adjustment by a senior QA engineer

02

Automated regression and UI testing

Automated tests that run on every change to catch bugs before you release.
Regression tests on every release Β· UI tests across browsers and devices Β· API and integration tests Β· Runs inside your continuous integration pipeline

03

Accessibility and performance

Reviews that protect the experience of all your users and the speed of your application.
Accessibility testing for your site or app Β· Load and performance testing Β· Verification across browsers and screen sizes Β· Prioritized findings with clear recommendations

04

Reporting and tracking

Every bug arrives clear, reproducible and in the tool your team already uses.
Reports with repro steps, screenshots and context Β· Logged directly in your bug tracker Β· Periodic summary of quality and risks Β· Participation in your standups, planning and demos

How it works

From your requirements to tests that run on their own

AI proposes test cases from your requirements, the QA team reviews them, and they're automated to run on every change. Bugs reach your bug tracker with full context.

  • AI-generated test cases validated by senior QA
  • Automation integrated with your repository and continuous integration
  • Regression, UI, accessibility and performance
  • Clear, reproducible reports in your bug tracker
How AI-assisted QA works The product requirements go to the AI, which proposes test cases. Regression, UI, accessibility and performance tests are automated, and a senior QA engineer reviews the results before bugs are reported. Requirements and user stories Your product AI generates cases Regression UI and API Accessibility Performance Senior QA reviews and reports the bugs

What changes

Traditional QA vs. AI-assisted QA

AI-assisted QA from gmedia.la

  • Generated and prioritized with AI, reviewed by senior QA
  • More scenarios in less time, including edge cases
  • Automated and run on every change
  • Clear, reproducible and in your tracking tool
  • Always: a QA engineer reviews what the AI generates

Traditional QA

  • Written by hand, one by one
  • Limited by the time available
  • Manual and repetitive on every release
  • Scattered and light on detail
  • Depends on who is testing

Process

From the first call to your first automated tests

Step 01

Discovery

We review your product, your delivery process and where most bugs slip through.

Step 02

Fixed-price pilot

We cover one module or critical flow with AI-generated cases and automated tests, with a closed scope.

Step 03

Integration

We connect the tests to your repository, your continuous integration and your bug tracker.

Step 04

Measurement and scale

We measure which bugs are caught before release and expand coverage to more modules.

FAQ

What people ask about QA with AI

What is AI-assisted QA?

It's a quality assurance service where AI helps generate and prioritize test cases and automate tests, and a senior QA engineer reviews and validates the result. That way you cover more scenarios in less time without losing human judgment.

Does AI replace the QA team?

No. AI speeds up repetitive tasks, like proposing test cases, but the review, the prioritization and the final call are made by a QA engineer. That's why every AI-generated case goes through human review.

What types of testing do you cover?

Functional and manual testing, regression, UI, API, accessibility and performance testing, for web and mobile applications and online stores.

Does it fit into our current workflow?

Yes. We work with your repository, your continuous integration process and your bug tracker, and we join your standups, planning and demos.

What's the difference between manual and automated QA?

Manual QA is ideal for exploratory testing, usability and complex flows where human judgment is needed. Automation cuts regression time for frequent releases. We use a mixed approach: we automate what's repeatable, test manually what requires judgment, and use AI to propose test cases that an engineer reviews.

When should I bring in QA: at the start or the end of the project?

From the start. When QA is involved from the first sprint, bugs are caught during development rather than after release, and testing becomes part of the process instead of a final stage.

What types of applications do you test?

Enterprise applications (ERP, CRM), web portals, online stores, iOS and Android mobile apps, REST and GraphQL APIs, data solutions and integrations between systems.

Do you work on US hours and in English?

Yes. The team is in Lima, Peru (UTC-5, no daylight saving time), which matches Eastern time in winter and Central time in summer. We work in English and Spanish.

How do we get started and how much does it cost?

We start with a free 30-minute discovery call and a fixed-price pilot with a closed scope. The cost depends on the product and the coverage; you get a quote in under 24 hours.

← See all AI solutions

What is AI-assisted QA and what does gmedia.la do?

AI-assisted QA combines artificial intelligence, which generates and prioritizes test cases and automates tests, with review by senior QA engineers. gmedia.la, a software development company based in Lima, Peru and founded in 2010, offers this service to businesses in the United States, on Eastern/Central time and in English and Spanish, with regression, UI, API, accessibility and performance testing and a fixed-price pilot.