End-to-end testing
Functional and end-to-end testing for web applications
Your users do not click one button, they complete a journey. Klarent automates the whole journey in plain English and keeps it working release after release.
The end-to-end testing problem
Why end-to-end suites decay
Journeys break in many places
A single user journey crosses many screens, services and states, so a change anywhere along the way can break it.
Only the author can fix it
Scripted suites need the people who wrote them to repair them, and test maintenance stalls when those people move on.
Flakiness erodes trust
Intermittent failures pile up until nobody believes a red run, and the suite is quietly ignored.
Stuck on the happy path
Edge cases cost too much to script, so test coverage stays on the happy path while real users take every other route.
Maintenance becomes the work
As products evolve, teams spend more time updating selectors, steps and assertions than adding meaningful coverage.
Failures lack context
When a test fails, teams often have to dig through logs and traces to understand what changed and where the journey went wrong.
How it works
How end-to-end testing works in Klarent
Step 1 - Describe
Describe the user journey in plain English, or generate it from a user story.
Step 2 - Build
The AI agent builds the executable test, with named steps and assertions, verifying each step against the live app.
Step 3 - Run
Run across browsers and environments. Failures come back with screenshots, steps and full traces.
Platform capabilities
End to end test automation built for real user journeys
Multi-step journeys
Automate multi-step workflows across pages, states and logins, from first visit to confirmed order.
Business-outcome assertions
Assertions check that the order was placed or the account was created, not just that an element exists.
Self-healing through UI change
When the UI changes, self-healing proposes a fix for review, without rewriting the journey.
Data-driven variations
Run the same journey with different data using variables and secrets, instead of copying the test.
Failure triage
Separate real regressions from environment noise, so the team only chases failures that matter.
Full run evidence
Every run records a step timeline with screenshots, plus Playwright traces with console and network logs.
What you can automate
The user journeys your business depends on
Authentication
Sign-up, login, SSO and multi-factor authentication flows.
Search and discovery
Search, filters and product or content browsing.
Cart and checkout
Cart, promo codes, checkout and payment journeys.
Multi-role workflows
Permission-based flows where different roles see and do different things.
Forms and conditional logic
Form-heavy, multi-page workflows that branch on user input.
Beyond the browser
Journeys that cross into email, SMS or a third-party system.
Runs where your team works
End to end testing automation in your pipeline
CI triggers and environment targeting
Trigger runs from GitHub, GitLab, Jenkins or Azure DevOps, and point the same tests at staging or production by overriding the URL.
Scheduled and on-demand runs
Run your critical path nightly, on every deploy, or whenever someone needs an answer.
Results into Jira, Slack and Teams
Failures reach the tools your team already works in, with direct links back to the failed test.
Integrations
Fits into your existing stack
Connect to GitHub, Jira, Slack, and more - no reconfiguring your workflow.
Enterprise readiness
Built for enterprise QA teams
Single sign-on
SAML-based SSO for centralised identity management.
Role-based access
Granular RBAC controls who can author, approve and run.
Environment isolation
Every run executes in a fresh, isolated environment.
Audit trail
Complete audit logs of who changed and ran what.
Automate one of your critical journeys and see it run.
Pick a journey your business depends on and see Klarent build, run and self-heal it in a live walkthrough on your own application.
FAQs
End-to-end testing checks a complete user journey through your application, the way a real user would, from the first page to the business outcome. Signing up, completing a purchase or submitting an application are typical end-to-end tests, and checkout is where most ecommerce test automation starts.
Functional testing checks that one feature works as specified. End-to-end testing checks that a whole journey works across many features, pages and systems. Both are automated in Klarent the same way, from plain-English instructions.
Setting up a test typically takes under five minutes. You describe the journey in plain English, and the AI agent generates the executable test step by step, verifying each step against your live application as it goes.
Every run starts in a fresh, isolated environment, each step is verified against the live app when the test is generated, and self-healing proposes fixes when the UI changes instead of letting the test fail on a moved element.
Yes. Tests are written as plain-English instructions, so manual testers, product owners and business teams can author them without scripting.
Any environment your team can reach. The same test can run against staging, pre-production or production by overriding the URL at trigger time, from the Klarent UI or from your CI/CD pipeline.
Variables and secrets hold the data a journey needs, like accounts, products or card details, and can be overridden per run. Reusable modules and browser states handle shared setup such as logging in, so long journeys do not repeat the same steps.
Yes. Journeys can continue beyond your own application, for example into an email inbox, an SMS code or a third-party system, which is common in test automation for travel booking, so the whole flow is tested end to end.