# How to Automate End-to-End Testing with AI Agents > Automate end-to-end testing with AI agents that navigate your app like a real user – across pages, forms and even multiple applications. Goal-based, no selectors. Source: https://qa.tech/use-cases/end-to-end-testing --- End-to-end testing verifies a complete user journey works from start to finish, the way a real user experiences it. With AI you describe the journey as a goal and an agent carries it out – logging in, navigating, filling forms, verifying the outcome – across your whole app. QA.tech runs these in parallel and re-navigates when the UI changes, so long flows don't collapse on a renamed button. In practice most teams run these journeys as part of [automated web testing](https://qa.tech/product/web-testing) on every release. [Book a demo](https://qa.tech/demo) Sub-use-cases **Covers** Long multi-step journeys, cross-application flows, flows needing email/SMS mid-way and the same journey run across multiple environments. 1. 01 ## What an end-to-end test should cover Complete journeys across multiple pages and states: onboarding, core transactions, multi-step forms, and flows spanning more than one system (e.g., web app → CRM → back), with state carried through. Journeys that live entirely behind the UI belong in [API testing](https://qa.tech/product/api-testing) instead. 2. 02 ## How does an AI agent run a full journey? The agent builds a [knowledge graph](https://docs.qa.tech/core-concepts/knowledge-graph) during a crawl, then executes your goal step by step, [chaining](https://docs.qa.tech/core-concepts/dependencies) cases into one journey and remembering state across steps and apps. Each run returns a [step-by-step report](https://docs.qa.tech/core-concepts/ai-agent-testing) with screenshots and video. 3. 03 ## When end-to-end testing earns its place For the high-value journeys that must never break – and that are too long and brittle to maintain as scripts. Following end-to-end testing best practices, the critical paths run on every release. 4. 04 ## Who relies on end-to-end testing Any team with complex, multi-step journeys: SaaS, marketplaces, fintech, B2B platforms. 5. 05 ## How QA.tech helps Script-based E2E tools need a line of code per step and break constantly, so teams under-test their most important journeys. QA.tech executes them from a plain-language goal and [adapts to UI change](https://qa.tech/ai-qa-testing), making the longest flows the easiest to keep green. We compared how agent-based tools handle this in our guide to the [best agentic QA tools in 2026](https://qa.tech/blog/best-agentic-qa-tools-in-2026). ▒ ░▒ ▒ ▓░░ ░▒▓▓░▓░░ ░ ░░ ░░░▒░▒▒░░ ▒░▒░ ░ ░░░░ ░░▓░░▒░ ░░▒█▒ ░ ░▒█ ▓▒ ░░ ▓▒░▒█ ▒ ░░▓ ░░▓░▒ ░░░░░ ░ ░ ░▒▒ ░▒░▓░ ░▒ ▓ ▒▒░░ ▓ ░░░░░░ ▓▓░ ░ ░ ░▓ ░ ▓█ ░▒▒░ ░▒ ▒▒▓ ░ ░░ ░░░░▓ ▒ ▒ ░░▒ ▒▒░ ░▒ ▒▒ ▓░░▓ ░▒▓▓░▒░░█░░▒▒░ ▒░ ▒▓▒ ░░▓ ▓ ▒▒ ░▒▒░░ ░ ▒ ▒░░░░ ## Companies running end-to-end testing with QA.tech - [![Airpelago](https://qa.tech/assets/airpelago-1y9XaVff.svg)Automated its 20 main user journeys, from planning a drone route to exporting reports.](https://qa.tech/case-studies/airpelago---scaling-drone-operations-with-reliable-end-to-end-testing) - [![4C Strategies](https://qa.tech/assets/4c-strategies-CVLIdhMC.svg)Tests flows that cross products, so an action in Risk Manager updates in Incident Manager.](https://qa.tech/case-studies/4c-strategies-replaces-manual-testing-with-ai) - [![Upsales](https://qa.tech/assets/upsales-CwvOOTpd.svg)Simulates real end-user journeys across its CRM.](https://qa.tech/case-studies/how-upsales-replaced-320h-of-manual-testing-with-agents) - [Runs modular, dependent test plans across complex multi-step UI journeys.](https://qa.tech/case-studies/bizbrains-ui-testing-automation) - [![Crystal Intelligence](https://qa.tech/assets/crystal-intelligence-B-g-38p_.svg)Verifies complete canvas investigation workflows, from wallet search to risk read-out.](https://qa.tech/case-studies/crystal-intelligence-speeds-up-regression-testing) - [Validates deep workforce workflows that span organisational levels and user rights.](https://qa.tech/case-studies/smartlinx-ai-qa-replacement) FAQ ## Common questions What's the difference between end-to-end and integration testing? Integration testing checks that components work together; end-to-end testing verifies a whole user journey through the running app. QA.tech focuses on the latter. What happens to the test when the UI changes? It's goal-based, so the agent re-navigates to reach the goal instead of failing on a changed element. Can QA.tech span multiple applications? Yes – a single flow can move across apps while carrying state through. Related use cases - [ API Regression Testing You group API contract checks into a plan written as plain-language goals – "GET /orders returns 200 with a list, and every item has an id and a status" – and an AI agent runs them against your API environment on every deploy. The agent makes the requests, writes and executes its own validation code, and returns a verdict with the full request and command trace. Read ▒ ▓ ▓ █░░░ █ ▒ ▒░▓░ ▒▓░ ░░▒░▓░▒▒▓░▓░░ ▒░ ▒ ▓ ░ ░▒ ░░░ ░▒▒▓░░ █░░░░ ▓░░▒░░ ▒▒ █░ ░ ░▒ ░░ ▒ █░ ▒░░░█░ ░ ▓▒▓▓ ▓](https://qa.tech/use-cases/api-regression-testing) - [ Automated Regression Testing Regression testing re-checks that existing features still work after a change. To automate it with AI, you group tests into a regression plan written as plain-language goals, and agents run the whole suite in parallel on every deploy. Many teams wire this into PR testing so the suite runs on every pull request preview. A 50-test suite that took hours by hand finishes in around ten minutes, and the tests don't need rewriting when the UI shifts. This is the workflow behind our automated web testing product. Read ░ ▒░░▒░░░░ ▓▒▓░ ▓░░ ░░▒░░█ ░▒░ ░▒░▓░ ░ ░ ░▒ █ ░ ░ ░█▒▓ ░ ▓ ░█ ░ ░░ ▓░▒ ░▒▓ ░░░░░▓░ ░░░ ▓░ █ ░░░ ▒░░▓▒▒░ ▒░▒░ ▒▒▒](https://qa.tech/use-cases/automated-regression-testing) - [ Checkout & Payment Flow Testing You point an AI agent at your store, describe the purchase you want verified in plain language, and it completes the journey like a real shopper – add to cart, enter an address, pay, confirm – then checks each step worked. With QA.tech that whole flow runs automatically on every deploy, in parallel, with no test code. Read ░▒░ ░▓ ░▒ ░░ █░ ▒ ░░▓ ░▒░ ░░░ ░░▓░░ ░░░ ▒░▓░░▒ ░▒▒ ▒ ░▒░▓ ▓░█▒█ ░ ▒▓▒▓░░░░ ▒░ ▓▒ ░░░░░░░░ ░░ ░ ░░░░ ▓ ▒░░░▒▒░░▒▒░](https://qa.tech/use-cases/checkout-flow-testing) [← Previous E-commerce Testing (vertical) ](https://qa.tech/use-cases/ecommerce-testing)[Next → Exploratory Testing ](https://qa.tech/use-cases/exploratory-testing) ## Your team moves fast. Can your testing keep up? QA.tech agents test your product autonomously, so moving fast never means shipping broken. See how it works in a 30-minute demo. [Get a demo](https://qa.tech/demo)