Archive · 19 Nov 2025
AI in Quality Engineering: New Risks and Platform-Led Solutions
A new report by QualiZeal and Everest Group says that using AI in quality testing can make software better and faster.
It also warns about new risks from AI systems that don't always behave the same way.
The report suggests using a single platform for all quality testing instead of many different tools.
QualiZeal and Everest Group release whitepaper on AI in Quality Engineering
Whitepaper warns of new risks from non-deterministic AI systems
Shift advocated from fragmented testing to integrated, AI-driven platforms
AI platform QMentisAI cuts testing timelines by up to 60% and improves efficiency by 40%
Case study: Azamara Cruises reduces testing cycles by nearly 50% and lowers production defects
- Who
- QualiZeal and Everest Group
- What
- Released a whitepaper on AI in Quality Engineering
- When
- Recently
- Where
- Globally
- Why
- To address new risks from AI systems and advocate for a platform-led approach to quality engineering
Proponents of AI in Quality Engineering
Cautious about AI Risks
AI-driven testing efficiency
Proponents of AI in Quality Engineering
AI can significantly improve testing efficiency and speed up software releases
Cautious about AI Risks
AI systems can introduce new risks and unpredictability
- Whitepaper Title
- Reimagining Enterprise Quality: Leveraging AI-infused Quality Engineering Platforms for Competitive Advantage
- AI Platform
- QMentisAI
- Testing Time Reduction
- Up to 60%
- Non-Functional Testing Efficiency Improvement
- Up to 40%
- Testing Cycle Reduction (Azamara Cruises)
- Nearly 50%
- Production Defect Reduction (Azamara Cruises)
- Substantial
