In a marketplace flooded with “AI-washed” claims, distinguishing real generative AI from superficial automation is more critical than ever—especially in the high-stakes realm of end-to-end software testing. For organizations evaluating AI-powered testing platforms, asking the right questions can uncover massive differences in capability, scale, and ROI.
At Appvance, we’ve engaged with hundreds of QA and DevOps leaders navigating this very challenge. Below are the must-have FAQs that prospects should be asking any vendor claiming to use generative AI in software testing. These questions cut through the noise—and the answers will determine whether you’re looking at marketing hype or a truly transformative solution.
1. What is actually being generated by your AI?
Why it matters: True generative AI doesn’t just assist—it creates. If a vendor can’t point to test scripts, data models, or workflows being automatically generated without human input, it’s not generative AI.
What Appvance does: Appvance IQ (AIQ) uses AI to produce thousands of valid, executable tests based on your business requirements autonomously—no human-led scripting required.
2. How much human effort is needed before the AI can generate tests?
Why it matters: Many tools claim AI, but require extensive setup—writing user stories, tagging elements, or teaching the AI with manual tests. That’s just assisted automation.
What Appvance does: Appvance AI autonomously understands your application’s structure and behavior with one training session and can generate tests from day one—with zero scripting.
3. Can your AI maintain and update tests as the app changes?
Why it matters: Static test scripts are brittle. If your “AI” can’t adapt to UI or logic changes autonomously, you’ll be stuck in maintenance hell.
What Appvance does: Appvance AI auto-heals tests, dynamically adapts to changes, and even re-generates tests as the app evolves—dramatically reducing test maintenance.
4. How do you ensure full application coverage with generative testing?
Why it matters: Coverage gaps are a major risk in traditional testing. True AI develops tests for all paths and edge cases, uncovering issues humans would overlook.
What Appvance does: AIQ’s machine-generated tests uncover deep functional paths across all layers of the app—including front end, API, and database—maximizing coverage without human bias.
5. How fast can you deploy and see value from your generative AI testing?
Why it matters: Long setup times kill ROI. If it takes weeks to train the AI or write test data, it’s not scalable.
What Appvance does: AIQ starts creating tests the same day it’s deployed—generating real, working tests in minutes.
6. Do your AI-generated tests run unattended in CI/CD pipelines?
Why it matters: If AI-generated tests can’t be integrated into CI/CD workflows without manual intervention, it defeats the purpose of continuous testing.
What Appvance does: AIQ runs autonomously in CI/CD pipelines, identifying regressions in real time, helping teams deploy faster and with confidence.
7. Can I measure risk and coverage from your generative AI?
Why it matters: Knowing which areas are most at risk and how well they’re covered is critical for prioritizing fixes.
What Appvance does: AIQ offers live risk-based dashboards, showing exactly what’s tested, what failed, and where the highest risks lie—giving stakeholders immediate visibility.
Final Thoughts
Don’t settle for AI-washed promises. If a vendor’s AI doesn’t actually generate running tests, adapt to change, and run autonomously at scale—it’s not very impressive AI. These FAQs are essential for separating real innovation from empty marketing.
Appvance invented and perfected true generative AI for testing. If you’re ready to leave legacy automation behind, it’s time to ask the hard questions—and expect better answers.
Request a demo to see how AIQ can accelerate your QA cycles.
