Most common use cases for
AI testing
36 scenarios where QA agents take the testing off your team's plate – from checkout and auth to mobile, CI/CD and AI-generated code. Filter by flow, vertical, or test type.
36 of 36 use cases
Account & Profile Settings Testing→
An AI agent runs every settings action a user can take – update profile fields, change email and password, upload an avatar, toggle preferences – then verifies the changes persis…
- SaaS
- Auth
AI Test Generation→
QA.tech generates tests five ways, so coverage can grow from wherever your team already works: a plain-language description, a [crawl](https://docs.qa.tech/core-concepts/crawling…
- AI
- Test creation
- Exploratory
Authentication & Login Flow Testing→
An AI agent runs your real login journeys – including the parts traditional tools can't, like opening an email or reading an SMS code – and verifies the user ends up authenticated.
- Auth
- SaaS
- Mobile
- E-commerce
Automated Accessibility (WCAG) Testing→
Every QA.tech test run automatically checks for [WCAG](https://docs.qa.tech/core-concepts/issues) accessibility issues and logs them alongside functional findings – so accessibil…
- Accessibility
- SaaS
Automated Regression Testing→
Regression testing re-checks that existing features still work after a change.
- Regression
- PR & CI/CD
Bulk Actions Testing→
An AI agent selects multiple items, triggers a bulk action – delete, export, status change – and verifies the outcome across the selection.
- Data & tables
- SaaS
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, …
- E-commerce
- Payments
- E2E
CRM Testing→
An AI agent runs the full deal [lifecycle](https://docs.qa.tech/core-concepts/dependencies) in your CRM – creating a deal, assigning an owner, moving it through pipeline stages, …
- CRM
- SaaS
- Permissions
CRUD Testing→
An AI agent runs each operation as a closed loop: create a record with unique data, verify it appears, edit it and verify the change, delete it and verify it's gone.
- Data & tables
- SaaS
Dashboard & Reporting Testing→
An AI agent navigates each dashboard view and verifies the things that fail silently – charts actually render, metric cards show data not "Loading…", and filters change results c…
- Data & tables
- SaaS
Drag-and-Drop & Kanban Testing→
An AI agent understands the intent of a drag – "move this card to Done" – and performs it in a real browser, then verifies the item's state updated.
- Data & tables
- SaaS
E-commerce Testing (vertical)→
An AI agent tests your storefront the way a shopper uses it – browsing the catalog, searching, filtering, adding to cart, checking out, and managing an account – verifying the re…
- E-commerce
- E2E
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.
- E2E
- Regression
Exploratory Testing→
Exploratory testing means investigating an application to discover how it behaves and where it breaks, rather than following a fixed script.
- Exploratory
- AI
- PR & CI/CD
Feature Flag & A/B Test Testing→
Different users see different versions of your app, so a flow that passes for the control can fail for a variant.
- Feature flags
- Regression
File Upload & Data Export Testing→
An AI agent uploads files as a user would – PDFs, images, CSVs – and verifies [upload](https://docs.qa.tech/test-features/file-uploads) success, preview and downstream state; for…
- Data & tables
- File handling
- SaaS
Fintech Testing (vertical)→
An AI agent runs the transaction lifecycle a customer would – initiate a transfer, enter an amount, verify the fee, confirm, check the balance and the history record – including …
- Fintech
- Auth
- Payments
Healthcare & Patient Portal Testing (vertical)→
An AI agent runs the patient journey – booking an appointment, accessing records, requesting a prescription – and verifies each step across both patient and provider roles, so ac…
- Healthcare
- Accessibility
iFrame & Embedded Content Testing→
An AI agent interacts with iFrames the way a user does – clicking, typing and verifying inside embedded content, including nested iFrames – with no special configuration.
- E2E
- Embedded
Localization & i18n Testing→
You run the same test goals across multiple language and region configurations – the goals transfer, no rewriting per locale.
- Localization
- E-commerce
- SaaS
Marketplace Testing (vertical)→
A marketplace has two distinct journeys – buyer and seller – and flows where they interact.
- Marketplace
- E-commerce
- Payments
Mobile App Testing (iOS & Android)→
You describe the journey in plain language and an AI agent runs it on a native iOS or Android app – handling taps, swipes, keyboard interactions and screen transitions – using th…
- Mobile
- E2E
Multi-Environment Testing→
You point the same test plan at staging, pre-prod, production or a [preview](https://docs.qa.tech/core-concepts/applications-and-environments#preview-environments) URL, and the a…
- PR & CI/CD
- Regression
Multi-User & Multi-Actor Flow Testing→
QA.tech can run two agents as two different users in fully isolated sessions – one submits, the other approves – so workflows that span people are tested end to end.
- SaaS
- E2E
- Permissions
Notifications & Activity Feed Testing→
An AI agent performs an action that should generate a notification, then verifies it appears in the notification center with the right content, and checks filtering and read/unre…
- Notifications
- SaaS
Pull Request & CI/CD Testing→
A GitHub or [GitLab](https://docs.qa.tech/configuration/gitlab) bot installs into your repo; when a PR opens (or you tag it), it reads the PR context, detects the [preview](https…
- PR & CI/CD
- Regression
QA for AI-Generated Code & Agentic SDLC (MCP)→
AI coding tools ship faster but don't always see the cross-cutting effects of a change, so bugs accumulate faster too.
- AI
- PR & CI/CD
SaaS Application Testing (vertical)→
An AI agent tests the flows that define a SaaS product – onboarding, core workflows, roles and permissions, billing and dashboards – from plain-language goals, on every release, …
- SaaS
- E2E
SaaS Onboarding Flow Testing→
An AI agent walks your entire onboarding sequence as a new user – signup, email confirmation, profile setup, first-use milestone – and verifies each transition works.
- Onboarding
- SaaS
- Auth
Search, Filter & Sort Testing→
An AI agent exercises the search bar, filter panel and column sorts, then verifies the results change correctly – including the awkward combinations that surface wrong data.
- Data & tables
- Search
- SaaS
Shift-Left Developer Testing→
Shift-left testing means moving quality checks earlier – to the developer, during development – instead of after handoff to QA.
- PR & CI/CD
- AI
- Exploratory
Smoke Testing→
A smoke test is a fast check that your most critical paths still work after a deploy.
- Smoke
- PR & CI/CD
Subscription & Billing Flow Testing→
An AI agent runs the full subscription lifecycle – select a plan, pay, confirm the upgrade, verify plan limits change, downgrade, cancel – and checks each state.
- Payments
- SaaS
UI-Change-Resilient Testing (Replace Flaky Tests)→
Most automated tests break because they depend on selectors and exact steps – rename a button and the test fails.
- Reliability
- Regression
User Management, Roles & Permissions Testing→
You run the same suite under different role configs – admin, member, viewer – and an AI agent verifies each role can do what it should and is blocked from what it shouldn't.
- Permissions
- Auth
- SaaS
Visual Regression Testing→
Because the agent sees your app the way a user does, it notices meaningful visual problems – broken layouts, wrong spacing, missing elements – during normal runs, without pixel-d…
- Visual
- Regression
- SaaS
- E-commerce
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