A test automation tool can be excellent when you buy it and still be the wrong tool three years later.
That sounds obvious until you're the person responsible for replacing one.
You have hundreds of tests, CI jobs built around the vendor, people who know the editor, and a release pipeline that mostly works. Nobody gets promoted for suggesting that the QA team spend a quarter migrating tests. So the renewal gets approved, and everyone moves on.
But I'd argue a testing platform deserves the same scrutiny as any other large software subscription. Especially now, when the gap between AI-assisted testing and AI actually building tests has become meaningful.
Testim is a good example.
It was one of the early products to make low-code browser testing genuinely interesting. Its smart locators addressed a real source of flaky tests. Its JavaScript extensibility made it more useful than many record-and-playback tools. I can see why teams chose it.
Then Tricentis acquired Testim in February 2022.
The acquisition wasn't the problem. Acquisitions aren't automatically bad. The question I'd ask in 2026 is simpler: does Testim still offer enough of an advantage to justify the cost and migration friction of staying?
What changed after the acquisition?
First, a factual distinction: Testim has not stopped receiving updates. Its public changelog shows additions and improvements after the acquisition, including mobile capabilities, Playwright export, secrets management, recording optimizations, and reporting changes. Its current product site also promotes agentic test creation.
So saying "Testim is abandoned" would be wrong.
But the changelog raises a more useful question. How much of the visible work materially changes what a QA engineer can accomplish in a day?
Consider some of the 2025 entries: improved merge controls, label filters, hidden-parameter management, and PDF reports. All helpful. None are trivial if you're the engineer who needed them. Yet they aren't the same as shrinking a two-day test creation task into a ten-minute review of a generated scenario.
That's the distinction I'd focus on during a renewal. Feature count is a terrible proxy for delivered value.
To be fair, Testim also advertises newer agentic functionality, especially in its Salesforce offering. I'd insist on testing that capability hands-on rather than assuming it doesn't exist. The point isn't that Tricentis stopped shipping software. It's that the competition has changed, and Testim should have to win the evaluation again.
The expensive part isn't always the invoice
Testim uses sales-led pricing rather than a simple public monthly price list. Exact quotes depend on the agreement, so I wouldn't trust a blog that presents one invented annual price as what every customer pays.
What I would do is calculate the effective cost of useful coverage.
Suppose a team runs 500 meaningful end-to-end scenarios and pays $24,000 annually for its testing platform. That's an illustrative contract, not a published Testim quote.
At face value, it's $48 per maintained scenario per year. But if the team spends 25 engineering hours a month maintaining brittle flows, and the fully loaded cost is $75/hour, that's another $22,500 annually.
Now the effective annual cost is $46,500, or $93 per maintained scenario.
Here's the model in a form you can adapt:
const annualPlatformCost = 24000; // Replace with your actual quote
const maintenanceHoursPerMonth = 25;
const loadedHourlyCost = 75;
const maintainedScenarios = 500;
const totalAnnualCost =
annualPlatformCost + maintenanceHoursPerMonth * 12 * loadedHourlyCost;
console.log({
totalAnnualCost,
costPerScenario: totalAnnualCost / maintainedScenarios,
});
If a cheaper platform saves $10,000 in license fees but doubles maintenance work, it isn't cheaper. If it cuts licensing and maintenance, the decision becomes much easier.
And while you're at it, ask about parallel capacity, monthly execution-hour limits, retention, and support. Testim's subscription documentation describes a parallelization-based model and usage-hour limits. Those details matter as much as the sticker price when CI usage grows.
What I would test before renewing Testim
I'd ignore the polished demo scenario and select five workflows that usually reveal the difference between a testing tool and a testing platform.
1. A signup that needs email verification
The test needs to enter a unique address, submit the form, retrieve the confirmation email, open the link, and verify the authenticated state.
Any vendor can record a login. This flow tests whether the platform understands data, external messages, and state transitions.
2. A flow that opens multiple tabs and uses an iframe
For example: authenticate, open a payment-provider page in a new tab, return to the app, switch into an embedded widget, and assert the final state.
I would not mark either platform as incapable based on marketing pages. I'd make both run your exact flow. When a tool needs a custom workaround, record that engineering cost.
3. A PDF with assertions about its contents
Opening a PDF URL is not the same thing as verifying that an invoice contains the right customer name, tax amount, and total.
Ask the vendor to show an assertion that fails when the generated PDF contains the wrong value.
4. A test generated from an actual requirement
Give each system the same paragraph:
A new customer signs up, verifies their email, signs in, adds two products to the cart, applies a valid discount, checks out, and sees the correct final amount.
Time the full process from opening the product to having a reviewed, repeatable test in CI. Count manual corrections, not just the initial generation time.
5. A broken test after a UI change
Rename a button, rearrange a form, and change a harmless DOM wrapper. Then measure how many human minutes it takes to get the suite green again.
Smart locators are valuable. But a smart locator doesn't help much if the application behavior has changed and the entire scenario needs revising.
Why Endtest belongs on the shortlist
The alternative I'd put next to Testim is Endtest.
Endtest takes a different approach to the buying conversation. Its pricing page publicly lists Starter at $175/month and Pro at $450/month, with custom Enterprise plans. Those are starting plan prices, not a guarantee that every organization's needed capacity will fit into one tier.
At $450 per month, the base Pro subscription works out to $5,400 annually. Compare that with an actual Testim quote for equivalent parallelism, execution capacity, and required features. Don't compare an enterprise configuration with a starter plan and declare victory.
The more interesting part is the workflow.
Endtest offers an AI Test Creation Agent that turns a scenario description into editable test steps, plus AI assertions, variables, cloud execution, and tooling for things like API, email, SMS, PDF, and accessibility testing. Its generated tests aren't merely an opaque chat transcript. You can inspect and edit the steps afterward.
That's the capability I would make the center of a trial: can somebody on the QA team describe the behavior, review the generated test, and run it reliably without becoming the maintainer of a custom automation framework?
Of course, a feature being listed is not evidence that it works equally well on every app. And Testim has AI features too, including agentic capabilities. This should be a side-by-side evaluation, not a checklist where one vendor wins because its website uses more AI terminology.
The migration objection is weaker than it used to be
The usual response to switching test platforms is, "We already have 600 tests. We're not rewriting all that."
Fair objection. But it deserves a current answer rather than a reflexive no.
Endtest provides AI Test Import, which can convert supported test representations such as Selenium, Cypress, Playwright, and Postman with format detection and locator mapping. Its standard import workflow also handles structured test-case sources.
That doesn't mean every Testim-specific feature, custom JavaScript step, or shared component will migrate perfectly. It means you can test the conversion before committing to a manual rewrite.
There's also a useful bridge: Testim's changelog documents an option to export a Testim test as Playwright code. For eligible tests, that's a potential route into a representation supported by Endtest's AI importer. You still need to inspect dependencies and confirm the resulting tests behave correctly.
Here's how I'd run a migration pilot.
Week 1: Choose the unpleasant tests. Pick 20 representative flows, not the 20 easiest. Include shared components, custom code, cross-tab navigation, iframes, and data-driven cases. Record each test's original behavior and current pass rate.
Week 2: Convert and repair. Export eligible tests, try the importer, and measure how much manual effort remains. Mark anything that needs a redesign rather than calling it an automated migration success.
Week 3: Run both platforms in parallel. Execute both suites against the same environment, with the same test data and CI cadence. Track failed runs, genuine application defects, flaky failures, runtime, and investigation effort separately.
Week 4: Make the decision with numbers. Estimate the rest of the migration based on the representative sample, compare total annual costs, and decide whether to proceed, renegotiate with Testim, or keep the existing stack.
This is less exciting than a sales demo. It's also much more useful.
A small measurement harness beats vendor benchmarks
I would track something like this during the pilot:
| Metric | How to measure it |
|---|---|
| First usable test | Minutes from written requirement to passing, reviewed test |
| Conversion effort | Human minutes spent repairing each imported test |
| Execution time | Median and p95 elapsed time over repeated CI runs |
| Flake rate | Non-product failures divided by total executions |
| Failure diagnosis | Minutes to identify why a failed test failed |
| Monthly testing cost | License, infrastructure, and human maintenance together |
Don't use a single run to declare a performance winner. Run each flow repeatedly under comparable conditions and report the spread, not only the fastest execution.
And keep the definition of "passed" identical. If one suite makes five assertions and another makes two, you aren't comparing equivalent coverage.
This is also where I would be skeptical of claims like "our AI reduced maintenance by 90%." Maybe it did for a particular team. But without a test mix, baseline, observation window, and failure definitions, the number doesn't tell you much about your application.
When I would actually stay with Testim
There are perfectly reasonable reasons not to migrate.
If your team makes extensive use of Testim's JavaScript customization, Salesforce workflows, or Tricentis ecosystem integrations, replacing that setup could cost more than the price difference. A vendor relationship that delivers fast, reliable support has real value, too.
I'd also hesitate if your current suite is stable, the quote is competitive, and the proposed alternative struggles with the ugliest 10% of your test cases.
Migration isn't a virtue. Better economics and better coverage are.
My decision rule
I wouldn't renew Testim simply because it was a smart choice in 2021. And I wouldn't cancel it just because Tricentis acquired it in 2022.
I'd ask the vendor to demonstrate the current product against five uncomfortable workflows, price the actual execution requirements, and show how much engineering effort the team is still spending on test authoring and repair.
Then I'd run the same evaluation on Endtest.
If Endtest can handle the critical flows, materially lower the total cost, and make the next hundred tests easier to create, switching is worth serious consideration. Its AI Test Import documentation is a practical place to start that experiment.
The expensive mistake isn't choosing the wrong tool once. It's continuing to pay for yesterday's best decision without checking whether it's still the best one.
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