From code-complete to release

AI test automation that writes, runs and repairs every test.

ZeuZ Test Studio is an AI test automation tool for QA leads done rewriting selectors and triaging flaky failures. It's time to bring automated QA up to the speed of AI generated code.

Download the solution brief →

↑ 30%

faster to release, per team
per release cycle

50%

less time in QA
per release cycle

~40x

effective multiplier
on AI spend

node-sf-01atlas-crmrelease/2026.09

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SZAlex

Go to Northlake Outfitters, search for trail running shoes, compare the prices on the page and open the cheapest pair. Then validate that it has a rating of at least 4.3.Go to Northlake Outfitters, search for trail running shoes, compare the prices on the page and open the cheapest pair. Then validate that it has a rating of at least 4.3.

Thought process✓

Browsing · northlake-outfitters.test✓

Plan

✓ Search trail running shoes

✓ Compare listed prices

✓ Open the cheapest pair

✓ Validate rating ≥ 4.3

✓ Save as test case

✓Passed · find_cheapest_trail_shoe_and_validate_rating

The six steps

ZeuZ hands all six testing steps back to your roadmap.

Most automated testing tools automate step 04, execution, and leave the other five to people.

Five steps done manually · Maintenance is where the week goes.

ZeuZ automates all six steps, not just execution: teams release 30% faster and spend 50% less time in QA per release cycle (ZeuZ engagement data).

01Test design
Today: Coverage gets decided by whoever has been on the team longest.
In Test Studio: Point it at your requirements; it proposes the coverage and you cut what you don't want.
regression_plan_FINAL_v7.xlsxlast edited 5 months ago
TestOwnerLast runKeep?
Checkout happy pathPriyaMar 12yes
Loyalty discount?never??
Stage totals recalcTomaszJan 30ask Alex
Contact merge historyleft the company—?
"Do we still need row 14?" · comment from 6 weeks ago, no reply
02Test case creation
Today: Written manually, in a ticket, after the code is already done.
In Test Studio: Type the behaviour in plain English and Test Studio writes the case.
PROJ-118 · Loyalty discount at checkoutqa-todo
Steps to test (added after merge):
1. Log in as the test user
2. Add an item over $50 to the cart
3. Apply code SPRING-24 at checkout
4. Expect 10% off the subtotal
"someone please verify before Friday" · assigned: unassigned
03Test automation
Today: You script it; web, mobile, desktop and API, each on its own.
In Test Studio: It compiles to executable automation and you never open a selector file.
checkout_spec.py · unsaved changes
driver.find_element(
By.CSS_SELECTOR,
"#btn-apply-2.css-19x8hz")
# NoSuchElementException (again)
# TODO: re-inspect after deploy
# TODO: same fix in cart_spec, order_spec…
04Test execution
Today: Parallel regression on every merge, triggered from your CI/CD.
In Test Studio: Unchanged, the one step the market already fixed.
ci · run #4812 · mainpassed
$ pytest tests/ --parallel 8
collecting 21 tests…
21 passed in 6m 12s
triggered by merge 3f9e2a1 · already automated, this one works
05Reporting and analysis
Today: You read the red and decide which reds are real.
In Test Studio: Failures arrive grouped, flaky separated from real, the change that broke it named.
terminal · test output
FAILED test_checkout_saved_card · AssertionError: $47,900 != $48,200
FAILED test_loyalty_discount · TimeoutException after 30s
FAILED test_stage_totals · ElementNotInteractableException
FAILED test_contact_merge · StaleElementReferenceException
…43 more failures
47 failed, 132 passed · which reds are real?
06Test maintenance
Today: The UI moved, your selectors are wrong, this is now your week.
In Test Studio: Locators survive the change and repairs show up as a diff you approve or reject.
Sprint 41 · boardTo do (9)
Fix selector: checkout_spec.pyAlex
Update locators after nav redesignAlex
Re-record login flowPriya
Investigate flaky cart testAlex
↩ 6 of 9 carried over from Sprint 40

See it in the demo lab or in your own environment

See it run on your application.

Watch ZeuZ Test Studio automate the entire release cycle, from test design to test maintenance. See how it returns ~40x on your AI spend.

Download the solution brief →

Deployment, security and integrations

Connect the AI test automation tool to the stack you already run.

GitHub, Jira, Notion, Google Drive and your CI/CD connect directly, so Test Studio authors from the context your team already owns.

GitHub

Checks on every commit

GitHub Actions

Runs on push and PR

Jira

Failures open issues

Slack

Run summaries in channels

Jenkins

Suites from any pipeline

GitLab

MR pipelines gate on results

Bitbucket

Statuses and PR checks

CircleCI

Parallel test jobs

Notion

Specs and requirements

Google Drive

Documents and test data

Docker

Containerised runners

Kubernetes

Scale parallel runs

Deployment and security

SaaS: hosted by ZeuZ, with execution on your own machines.

On-premises: point the client at your own server.

Air-gapped: disconnected environments, scoped per engagement.

Secrets held as sensitive variables with allow-lists, masked in logs.

Product source and its knowledge index stay local.

Encrypted local credential vault; connector tokens encrypted server-side.

CI/CD test automation integrations →

The core sequence

Automated test case generation, execution, and maintenance.

This is how AI software testing runs in Test Studio: you describe it, you watch it gather evidence, you keep the test. The same conversation moves from a human instruction to live evidence to structured, reviewable automation.

The old wayZeuZ Test Studio

ZeuZ Test Studio · New chat

Go to Northlake Outfitters, search for trail running shoes, compare the prices on the page and open the cheapest pair. Then validate that it has a rating of at least 4.3.

Browsing · northlake-outfitters.test…

✓Case created on branch ts/trail-shoe-01, ready for review

devtools · inspector · checkout_spec.py (unsaved)

Apply discount

</button>

</div>

driver.find_element(

By.CSS_SELECTOR,

"#btn-apply-2.css-19x8hz")

# NoSuchElementException (again)

# TODO: re-inspect after deploy

⇔

Domain expert states the intent · Test Studio structures and runs · the automation engineer inspects the code · the QA lead owns the release evidence.

What you actually get

What you get in an AI testing tool built for QA work.

An AI testing tool earns its place by what survives after the prompt ends.

ZeuZ Test Studio · Dashboard

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Dashboard

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SZAlex

Good morning, AlexWednesday · Sep 3 · main

Here's what needs your attention today.

AI QA Briefing

3 failures need attention. Checkout is blocking release readiness.

Analyze failures✦ Generate tests

Live Test RunsView all

Release smoke · checkoutRunning

Smoke suite · payments✓ 32 passed

saved-card-checkout1 failed

Release ReadinessReady

Critical flows26 / 30

Coverage72%

Open defects3

Flaky Test Trendlast 7 days

Variables, the run envelope and runs

Your test data stays out of your test code.

QA automation tools break on environment differences; Test Studio binds them once as typed variables.

Variables · checkout suite0 secrets exposed

NameTypeScopeValue

BASE_URLurlsetstaging.atlas-crm.testextracted

REGIONstringruntimeeu-west

PAYMENT_TOKENsecretnode••••••••masked

CARD_DATAdatasetseteu-cards.csv

OWNER_EMAILstringsetqa@atlas-crm.test

LOYALTY_CODEstringsetSPRING-24

You didn't tell it the password was a secret. It worked that out. Sensitive values stay masked; allowed values can be scoped to people, nodes and tests.

The database workspace sits beside the test workflow: guarded queries, staged edits, schema browsing, relationships, history, import and export. PostgreSQL, MySQL, MariaDB, SQL Server, SQLite and MongoDB.

The obvious question

AI QA automation versus a general coding assistant.

AI QA automation needs a test estate (a catalog, priorities, run history, variables, evidence); a general coding assistant has none of it. ZeuZ is not either/or: code from OpenAI Codex, Claude Code, Cursor, GitHub Copilot or any other assistant is verified through the same six-step flow in ZeuZ Test Studio.

AI chat

Write a test for our checkout discount

def test_discount():
# assumes selectors you'll
# have to find yourself…

No run history. No catalog. No evidence.

A general AI chat tool

ZeuZ Test Studio

Write a test for our checkout discount

TC-1042 created on ts/loyalty-04 ·
reuses 3 catalog steps · data bound
from Variables · run history attached

✓ ran on mergeevidence attached

ZeuZ Test Studio

Capability	General AI chat tool	ZeuZ Test Studio
See every test case	✕	✓
Prioritise what to test	✕	✓
Run history and flakiness	✕	✓
Test data and secrets	✕	✓
Reusable steps	✕	✓
Suites and regression packs	✕	✓
Schedules and CI triggers	✕	✓
Evidence for a failure	✕	✓

Compare AI testing tools →

FAQ

Questions about AI test automation.

Ready to automate QA testing today?

See ZeuZ Test Studio write, run and repair tests against your own application code.

or explore our services →

AI test automation that writes, runs and repairs every test.

ZeuZ hands all six testing steps back to your roadmap.

See it run on your application.

Connect the AI test automation tool to the stack you already run.

Automated test case generation, execution, and maintenance.

What you get in an AI testing tool built for QA work.

Your test data stays out of your test code.

AI QA automation versus a general coding assistant.

Questions about AI test automation.

What is AI test automation?

What makes AI useful in modern QA automation tools?

Which of the six testing steps does ZeuZ Test Studio automate?

Will QA automation be replaced by AI?

Can we review what ZeuZ generates before it runs?

Ready to automate QA testing today?