19 Aug 2026
Test Management Is Dead:
You’re Shipping Blind.
AI can write a thousand test cases in a few hours. It still won’t tell you if they matter.
Most test management tools link a test to a requirement. What they don’t do is check that against what actually shipped this sprint. You get a green traceability report and a production incident in the same week.
Your test management tool tells you what passed. It doesn’t tell you what’s untested. That’s the whole problem, and AI just made the pile bigger.
Testsigma closes that gap directly. It not only identifies the requirements gaps to test but also gives you sprint-level coverage with a confidence number attached.
What you’ll see:
- Why traditional test management breaks down when your team generates tests at scale.
- How to manage manual, automated, and AI-generated tests in one place without creating another silo.
- A walkthrough of sprint-level coverage with a confidence number attached. Real gaps found, generated, and run. Failures diagnosed and bugs filed.
- Where humans stay in the loop: every AI-generated test gets approved before it counts, not after.
- Why pass/fail metrics no longer answer the most important question: "Are we actually ready to release?"
Who should attend:
- QA Managers, SDETs, and test automation engineers watching AI-generated tests pile up faster than anyone can review them.
- Heads of QA and engineering leads who need a straight answer on release readiness will get one too.
Save your spot
AI can write a thousand test cases in a few hours. It still won’t tell you if they matter.
Most test management tools link a test to a requirement. What they don’t do is check that against what actually shipped this sprint. You get a green traceability report and a production incident in the same week.
Your test management tool tells you what passed. It doesn’t tell you what’s untested. That’s the whole problem, and AI just made the pile bigger.
Testsigma closes that gap directly. It not only identifies the requirements gaps to test but also gives you sprint-level coverage with a confidence number attached.
What you’ll see:
- Why traditional test management breaks down when your team generates tests at scale.
- How to manage manual, automated, and AI-generated tests in one place without creating another silo.
- A walkthrough of sprint-level coverage with a confidence number attached. Real gaps found, generated, and run. Failures diagnosed and bugs filed.
- Where humans stay in the loop: every AI-generated test gets approved before it counts, not after.
- Why pass/fail metrics no longer answer the most important question: "Are we actually ready to release?"
Who should attend:
- QA Managers, SDETs, and test automation engineers watching AI-generated tests pile up faster than anyone can review them.
- Heads of QA and engineering leads who need a straight answer on release readiness will get one too.
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