Every Oracle release tends to feel like the last one. Finance, HCM, Supply Chain — something changes, and the QA team runs the full regression suite again because nobody's quite sure what the update actually touched. It's slow, it eats people's weeks, and defects still find a way through to production. Most teams know they're testing too much in some places and not enough in others. They just don't have a good way to tell which is which.
That's the gap GoTestPro AI Impact Analysis fills. It's an AI-powered, no-code test automation framework that looks at what actually changed in an Oracle release and points your testing at the parts that need it. Targeted. Risk-driven. A lot less guesswork. You stop spending three days re-running tests on workflows Oracle didn't touch, and you stop hoping the critical approval path still works because nobody had time to check.
Underneath, there's the rest of the platform doing the unglamorous work — pre-built Oracle scenarios you don't have to write from scratch, codeless authoring, auto-healing when the UI shifts under you, and one place to cover both UI and API. The point isn't that any one of these is novel. It's that together they turn Oracle release testing from a recurring crisis into something predictable, and your team gets confidence in the workflows that actually matter to the business.
Watch the session for a live walkthrough, real release scenarios, and the kind of practical takeaways you can put to work on the next Oracle update.
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