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AI Regression Testing with Owlity

Regression testing platform

AI Regression Testing with Owlity

Run your full test suite on every deploy — across every browser, in parallel — and know within minutes whether a release is safe to ship. When something fails, AI tells you why.

Teams already testing with Owlity

Manual regression vs. Owlity

Time per cycle

Triggered by

Browser coverage

Edge cases

Failure visibility

After a UI change

Coverage

Manual regression

Hours or days

Someone remembers

One at a time

Rarely fully covered

"Something broke"

Re-test everything by hand

Best effort

Owlity

Minutes

Every deploy, automatically

All major browsers in parallel

Built by our QA team on demand

Root cause explained by AI, with video, logs and screenshots

AI finds changed elements by meaning, tests keep running

Up to 95%

Why Owlity for regression testing

Runs on every deploy — automatically

No one needs to remember to trigger regression. Connect to your pipeline once and every deploy gets verified — before it goes live.

Results before the release goes live

Parallel runs across Chrome, Firefox, Safari and Edge mean your full regression suite completes in minutes. You know what passed, what failed and why — AI points to the likely root cause and labels each failure as product bug, test issue, data or environment — before anyone approves the release.

Coverage that grows with your product

As new features ship, add them to your regression suite — record the flow, or describe it and AI builds the test. When the product changes, describe the change and the test updates. Our QA team can expand any flow to cover edge cases and error states, so your suite stays complete as your product evolves.

Platform

How to set up regression
testing with Owlity

From zero to automated regression — step by step.

Step 1

Create

Install the desktop app and cover every flow that needs to pass before a release — critical user journeys, core functionality, high-risk areas. Record them, or describe them in plain words and AI builds the tests. Add checks on elements, URLs, cookies and responses — or write the expected outcome in plain words. Reusable flows for patterns like authentication keep your suite lean as it grows.

Step 2

Expand

Once the core flows are in place, submit them for expansion if needed. Our QA team adds edge cases, negative scenarios, error states and cross-browser assertions, and delivers back fully structured tests. You review them, request changes if needed, and add them to your suite.

Step 3

Run

Link Owlity to GitHub Actions, Jenkins or Azure DevOps and set your trigger to fire on every deploy. Run in parallel across Chrome, Firefox, Safari and Edge, with automatic retries on flaky steps. When the UI changes, AI finds elements by meaning and shows its confidence, so the suite keeps running without silent false passes. Every time, without exception.

Step 4

Review

Every run produces video, screenshots, network logs and a step-by-step timeline. When something fails, AI gives you the likely root cause, what to check next and a failure label — so recurring problems are easy to spot across runs. Push failures to Jira or Linear, or export a CSV report for stakeholders.

INTEGRATIONS

Fits into your development ecosystem

Owlity plugs into the tools your team already uses — CI/CD pipelines, issue trackers, and developer
workflows — so regression runs where your work already happens.

Works with

GitHub Actions

Azure DevOps

Jenkins

Jira

Linear

Zero config to get started.

See integrations

Get started

Reliable regression testing for
every release

Describe your critical flows today. Expand coverage when you need it. Ship every release with confidence.

FAQ

Questions? We have answers

Your first regression tests can be built — recorded or described in plain words — and running in the cloud the same day. CI/CD integration typically takes under an hour.

On every deploy — that's the point. Owlity connects to your pipeline and triggers automatically, so regression runs every time code ships without anyone manually starting it.

Mostly, Owlity does it for you. When the UI changes, AI finds elements by meaning — a renamed button still gets found, and the step shows its confidence and a screenshot. When the product changes, describe the change and AI updates the test; you see the diff before saving. The step editor and re-recording are there for anything else.

Yes. Owlity supports multi-environment runs — staging, pre-production, and production — from a single suite configuration.

Start with your most critical flows. For variants, describe them — "same checkout, with a promo code" — and AI creates a new test from the existing one. For full coverage — edge cases, error states, secondary flows — our QA team builds it out, so your suite catches what manual testing misses.

AI tells you. Every failed run gets the likely root cause, what to check next, evidence from the screenshots of the related steps, and a label — product bug, test issue, test data or environment. You can ask follow-up questions in chat, like "what changed since the last successful run?". Triage takes minutes instead of digging through steps.

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