COMPARISON: AI SOFTWARE TESTINGKlavity vs QA outsourcing: who catches the bug before your customer does?

Why does this matter more now?

Because teams ship more code, faster. Google’s 2025 DORA research, from nearly 5,000 technology professionals, found 90% use AI at work, and that AI adoption now goes with higher delivery throughput but still has a negative relationship with delivery stability. Its advice is to strengthen safety nets such as automated testing and fast feedback loops. [1]

QA teams are moving too, unevenly. The World Quality Report 2025 found 89% of organisations piloting or deploying generative AI in quality engineering, but only 15% at enterprise scale, with an average productivity gain of 19% and a third seeing minimal gains. [2]

More change, the same number of testers. That is the gap every option below is trying to close.

What are the four options?

• Outsourced QA team. A vendor supplies testers who write test cases, run manual and exploratory testing, and report bugs. You pay for people and their time.
• In-house QA. Your own testers, inside the team, who know the product and the customers best.
• Test automation framework. Open-source libraries such as Playwright, a test runner with auto-waiting, assertions and tracing across Chromium, Firefox and WebKit, [3] or Selenium, which drives Chrome, Firefox, Edge and Safari through the W3C WebDriver standard. [4] Your engineers write and maintain the scripts.
• Klavity (AI testing). AI testers, called Sims, walk your pages from just your URL, including pages no one has clicked yet. Snap lets your team or real visitors file a bug in one right-click. AutoSim turns a flow you describe in plain English into a test that replays on every release. Every finding lands in Jira, Linear, GitHub or Plane with evidence attached. [5][6]

How do they compare?

Klavity facts from klavity.in and its GitHub README as at 10 November 2026. [5][6][7][8] Framework facts from the projects’ own sites. [3][4]

When are the alternatives the better fit?

Often. We would tell a client so.

• Choose an outsourced QA team when a release needs many people at once, real devices across many models, or a documented test plan that a client or regulator expects a person to sign. Large migrations and go-lives are classic cases.
• Choose in-house QA when your product has deep domain rules that take months to learn, such as insurance rating, clinical workflows or tax logic. A good tester who knows the business finds bugs no script or AI would think to look for.
• Choose a test automation framework when you have engineers with time to write and maintain tests, and stable critical flows that must pass before every merge. Frameworks give exact control over data, APIs and edge cases, and they cost nothing to license.

And no option replaces security testing, load testing or accessibility audits by specialists. Plan for those separately.

When does Klavity fit?

• You have developers but thin QA. Klavity is built for in-house development teams with little or no dedicated QA, including enterprises building their own software.
• You release often. AutoSim replays unchanged screens without calling an AI model, so it is cheap enough to run on every release, and it re-finds a moved button by its label instead of failing. If the goal genuinely cannot be completed, it files a finding rather than passing quietly. [6]
• Your developers want evidence, not vague reports. Each bug arrives with a full-page screenshot, the page URL and the recent console errors and network failures, in the tracker they already use. [8]
• You want to start today. Paste a URL and the first Sim walks the site in minutes. Add a real customer call later and its findings carry the customer’s own words. [5][7]
• You do not want lock-in. Klavity is open-core under the Functional Source License, and the repository can be self-hosted. [8]

What Klavity will not do: understand your business rules the way a long-serving tester does, or replace specialist security and load testing.

Can you use them together?

Yes, and most teams should. Three common pairings:

• Klavity plus a framework. Engineers keep scripted tests for APIs and edge cases in the build pipeline; Klavity covers the pages and journeys nobody wrote a script for. Klavity stores flows as plain, readable steps in an open format, and lists one-click export to Playwright scripts as on its roadmap, not yet live. [7]
• Klavity plus a QA vendor. Klavity checks every release; the vendor is brought in for big releases, device runs and signed test plans.
• Klavity plus one in-house tester. The AI does the routine walking and re-checking; your tester spends their time on the risky, domain-heavy parts.

Everything files into the same tracker, so your developers work one queue.

How do the costs compare?

Each option has a different cost shape, so compare them on the same unit: cost per release checked, including the time your developers spend reproducing vague bug reports.

• Outsourced QA: usually priced per tester or per engagement. Cost grows with people and hours.
• In-house QA: salaries, tools and the months it takes to hire and ramp up.
• Frameworks: free to license; the cost is engineering time to write and, above all, maintain tests as the product changes.
• Klavity: a subscription with limits counted per account, not per person, so adding team members does not add cost. The bug reporter, Snap, is free on every plan. Current plans are on klavity.in. [7]

Want to try it on your own product? Start with klavity.in, or read how Klavity works. Testing enterprise software? Talk to us.