Automated software testing that runs on every change and stays trusted.

Automated software testing is the practice of writing test scripts that a machine runs for you, checking that software works correctly, over and over, on every change — instead of a person clicking through the same steps by hand each time. Once a check is automated, it can run in seconds or minutes on every code commit, so a fix in one place quietly breaking something else is caught immediately rather than by a customer in production. It is used most for regression testing (re-checking everything that already worked), smoke tests, critical end-to-end user journeys, and API and integration checks.

The goal is not to automate everything — it is to automate the stable, repetitive, high-value checks so your people spend their time testing the new and the tricky, not re-running the same manual pass. Done well, automated testing lets a team release far more often with confidence. Done badly, it produces a flaky, slow suite everyone ignores, which is why Avaib builds automation as a real discipline through a dedicated QA department, with maintainability and trust as the priority, not raw test count.

Manual testing is a skilled person using the software the way a real user would — following hunches, trying odd inputs, and judging whether the experience makes sense. It is best for new features, usability, and exploratory testing where the goal is to deliberately break things no one scripted. Automated testing is tests written once and then run by machine on every change: fast, repeatable and tireless, ideal for regression, repetitive checks across many browsers or data sets, and performance runs no human could do by hand.

They are not rivals — a healthy quality function uses both. Automation frees people from re-running the same checks so they can do the exploratory testing machines cannot, and it catches the regressions a rushed manual pass would miss. Avaib builds the automation and provides the manual and exploratory testing, and recommends the right balance for your product rather than selling you only what is easiest to bill.

Automate the checks that are stable, repetitive, run often and would hurt if they broke — regression suites, smoke tests, the critical end-to-end journeys like sign-up, checkout and payment, and API and integration tests. These pay back quickly because they run on every change and would otherwise eat your team's time by hand. A useful guide is the test automation pyramid: put most of your automated coverage in fast, cheap unit and API tests, and only a focused set of slower end-to-end tests on top, so the suite runs quickly and stays stable.

Do not try to automate everything. Brand-new features that are still changing, one-off checks, usability judgment and true exploratory testing are usually better done by hand — automating them costs more to build and maintain than it saves. We start by finding the tests that will genuinely earn their keep, so your automation budget goes where the return is, not into a big number that impresses in a demo and rots within months.

The usual cause is flakiness and maintenance cost. A suite gets built quickly with brittle locators, everything driven through the interface, and little thought to what is worth automating. It then starts failing for no real reason and breaks every time the app changes — industry figures put maintenance at anywhere from 30% to 50% of the automation budget. Once a red build no longer reliably means a real bug, people stop trusting it, re-run until it passes, or switch it off, and the suite becomes shelfware.

We avoid this by design: automating only what earns it, building on reliable locators and proper waits, structuring the code with page objects so an interface change is a one-place fix, keeping most coverage in the fast lower layers, and wiring it into your pipeline so it actually runs. The aim is a smaller, stable suite your team trusts, not the biggest possible number of brittle tests.

Yes to both, and both are common. If you have no automation yet, we start from where the risk and the repetitive load actually are and build a maintainable suite around your existing software — you do not need the original developers involved. If you already have a suite that has gone flaky or been abandoned, we take it over, work out what is salvageable, stabilise the tests worth keeping, prune the ones that only ever produced noise, and get it running reliably in your pipeline again.

Independent automation by a team that did not write the application is often more effective, because we have no blind spots about how it "should" behave and test what it actually does.

We wire the suite into whatever pipeline you use — GitHub Actions, GitLab CI, Jenkins, Azure DevOps and the like — so the tests run automatically on every commit and pull request without anyone remembering to trigger them. Your developers get a clear pass-or-fail signal, with reporting that shows what ran and what failed, before code merges or deploys. We tune what runs where — a fast smoke set on every commit, the fuller suite on a schedule or before release — so the pipeline stays quick and useful rather than a slow gate people bypass.

Automation only pays off when it runs on every change, so this integration is part of the engagement, not an afterthought.

It depends on the size and complexity of your software, how much you want to automate, whether you are starting fresh or rescuing an existing suite, and how much ongoing maintenance you need. Automation is usually priced as a dedicated engineer or team on a predictable monthly basis, a fixed price for a defined project such as building or rescuing a suite, or blocks of senior engineering hours you draw on as needed. Avaib's model is senior automation expertise at a cost-effective rate, typically around USD 25 per hour, which is why businesses in Australia, the US, Canada and the Middle East get a proper automated suite with us for a fraction of what local firms charge.

There is an upfront investment to build and stabilise a suite, and then it pays back over time as it runs on every release for almost nothing. After a short conversation about your software and where the value is, we will send you a free, no-obligation written estimate with a clear scope and a ballpark figure.

No. We build on open, widely-used frameworks and tools — the same ones your own developers can pick up — and the test code, the framework and the documentation are yours to keep, in your repositories. There is no proprietary black box and no licence you are trapped inside.

You stay with us because the suite genuinely speeds up your releases and your team trusts it, not because leaving would strand you without a safety net.