Manual test design has long been the trickiest part of QA, especially when dealing with requirements from PDFs, Slack threads, and spreadsheets packed with industry jargon. It’s slow. It’s inconsistent. And when specs shift mid-sprint, you’re left rewriting the same test assets again and again.

Thankfully there are new capabilities out there that flip the script. You can use secure, on-prem Generative AI to turn your real-world requirements into accurate, context-aware, and domain-specific test assets. No rewrites. No guesswork. Just test assets that make sense and match intent, downloadable as Gherkin feature scenarios and traditional manual test cases.

Join our webinar where we will kick things off with a keynote, “Scaling Responsible AI: From Enthusiasm to Execution” by Noelle Russell, multi-award-winning technologist, Microsoft MVP for AI, and former AI leader at NPR, Microsoft, IBM, AWS, and Alexa.

Then stick around for a 30-minute session where we delve into the key challenges of manual test design and demonstrate how to solve them.

We’ll walk through:

• What common manual test design obstacles hinder teams the most
• Why public Gen AI tools don’t cut it
• How Keysight Generator ingests specs, glossaries, and process docs and outputs clean, consistent BDD scenarios and manual tests
• A demo

If you’re stuck in the rewrite loop or struggling to keep up with shifting specs, this launch will show you a smarter way forward.