Use Cases
The same runner, pointed at the flows that cost the most when they break. Each of these crosses more than one runtime, which is where scripted tests usually stop.
A checkout failure is never just a UI failure. The cart, the tokenizer, the 3-D Secure code, the order API, the receipt and the native app all have to agree.
One trace across five runtimes
The step teams give up automating is the one that leaves the browser. Autonomy provisions a real inbox and a real number, waits for the code, and carries it back into the flow.
No stubbed auth in the test path
Parity checks are usually a manual pass before release. Run the same journey against a web build, an iOS simulator and an Android emulator, and compare what each one actually did.
Parity as part of the run
Assert what the backend actually did, not what the screen appeared to show. Every request in a journey is captured with its status, payload shape and side effects.
Lower cost per run, no browser reserved
Link the Figma file and visual checks are graded against product intent rather than yesterday's screenshot, so an intentional change does not read as a break.
Fewer false positives than pixel diffing
Transactional mail and messages are where silent breakage lives. Autonomy reads the actual message and asserts on its contents, not just that something was queued.
Assert on the message, not the queue