Teams of people read requirements.
Teams of people wrote test cases.
Teams of people created automation scripts.
Teams of people ran regressions.
Teams of people maintained the whole thing every release.
That model is being replaced right now.
Not someday.
Now.
Appvance clients are already using AIQ to start with intent, including business requirements, existing manual test cases, user stories, and other artifacts, and automatically produce test cases, scripts, execution, and results.
Then AISG takes it further.
Instead of only validating the one expected happy path, AISG evaluates outcomes against business requirements across many application states. That expands bug visibility and application coverage by roughly 10X over traditional test cases.
So QA leaders no longer have to choose between speed and confidence.
They can have both.
Rapid traditional results in a matter of hours, plus far greater visibility into defects that legacy methods miss.
And instead of requiring dozens or hundreds of people, this can be driven by a single QA lead guiding the AI.
That is not a future vision.
That is what modern AI testing looks like today.
