New risks emerging from non-deterministic AI systems

QualiZeal, a global leader in AI-powered quality engineering and digital transformation, has partnered with Everest Group to release a joint whitepaper titled “Reimagining Enterprise Quality: Leveraging AI-infused Quality Engineering Platforms for Competitive Advantage.” The publication underscores the rising complexities of managing quality across legacy applications, cloud-native ecosystems, and AI-driven models- calling for a decisive shift toward platform-led Quality Engineering (QE).

The whitepaper captures the technological evolution of the last decade and warns of new risks emerging from non-deterministic AI systems.

It advocates transitioning from fragmented, tool-based testing models to an integrated, platform-led approach that brings intelligent automation, real-time observability, AI governance, and continuous assurance under one architecture.

“AI has fundamentally changed the definition of enterprise quality,” said Ankit Nath, Practice Director at Everest Group, during the launch. “It is no longer just about speed and cost, but trust, transparency, and resilience. Enterprises adopting platform-led QE are accelerating innovation while strengthening assurance across both legacy and AI systems.”

The whitepaper highlights performance data demonstrating the impact of QualiZeal’s AI platform, QMentisAI. According to the report, organizations can cut testing timelines by up to 60% and improve non-functional testing efficiency by as much as 40% through AI-driven prioritization and business-focused test coverage.

A case study featuring Azamara Cruises showcases the practical gains of this transformation — including nearly 50% reduction in testing cycles and substantial drops in production defects, resulting in faster and more reliable software releases.

“Quality Engineering is no longer about ensuring software works—it is about assuring intelligence,” said Madhu Murty Ronanki, Co-Founder and Head of India Operations, QualiZeal.