Platform-Led and AI Assurance QE Identified as Enterprise Game Changers in New QualiZeal–Everest Whitepaper

Hyderabad: QualiZeal, a global leader in AI-driven Modern Quality Engineering and digital transformation services, has unveiled a major whitepaper in collaboration with the research and advisory firm Everest Group.

Titled “Reimagining Enterprise Quality: Leveraging AI-infused Quality Engineering Platforms for Competitive Advantage,” the whitepaper outlines how platform-led Quality Engineering (QE) and AI assurance are emerging as critical pillars in modern enterprise technology ecosystems.

The report analyzes a decade-long evolution in enterprise delivery environments—from legacy systems to cloud-native solutions and increasingly complex AI-driven architectures. With quality challenges becoming more multifaceted, the study highlights the need for enterprises to shift from traditional, tool-based testing to platform-led QE models that integrate intelligent automation, observability, continuous governance, and AI risk monitoring.

AI Redefining Enterprise Quality

Speaking at the launch, Ankit Nath, Practice Director at Everest Group, said that AI has reshaped organizational expectations around quality.
“Enterprise quality is no longer just about speed or cost. It is now primarily about trust, explainability, and resilience,” he said. “Our research shows that companies adopting platform-led QE are managing AI-related risks more effectively while accelerating innovation.”

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QMentisAI™ Delivers Measurable Impact

The whitepaper showcases the benefits of QualiZeal’s AI-powered quality lifecycle management platform, QMentisAI™. According to the study:

• Testing timelines can be reduced by up to 60%, thanks to faster generation of use cases and test scenarios.
• Non-functional test planning can be accelerated by up to 40%, supported by AI-driven prioritization of business-critical pathways.

A featured case study on Azamara Cruises illustrates the impact of this transformation. By adopting a platform-led QE model, the company cut testing time nearly in half and reported significantly fewer defects entering production—resulting in faster, more reliable software releases.

Quality Engineering Shifts to Intelligence Assurance

Madhu Murty Ronanki, Co-Founder and Head of India Operations at QualiZeal, said the whitepaper underscores a pivotal change in enterprise quality strategies.

“Quality Engineering is no longer about testing—it’s about assuring intelligence,” he said. “With QMentisAI™, we are helping enterprises transition to smarter, safer, AI-first delivery models.”

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The report also emphasizes the evolving role of quality engineers. Instead of being replaced, the human workforce is shifting toward AI model validation, risk monitoring, data assurance, and strategic oversight—making them central to platform-led transformation efforts.

Everest Group recommends a structured ARM Framework (Assess–Realize–Maximize) for organizations seeking to scale platform-led QE adoption with the right mix of technology, talent, and governance.

Industry Leaders Echo Importance of QE in AI Era

The event concluded with a ribbon-cutting ceremony and a panel discussion featuring QualiZeal’s ecosystem partners. Panelists agreed that as generative and agentic AI systems become widely adopted, Quality Engineering will increasingly define enterprise trust, resilience, and long-term competitiveness.

In just four years, QualiZeal has expanded to 850+ employees, partnered with 70+ global enterprises, and consistently delivered high satisfaction scores. Its rapid rise reflects a broader industry shift from viewing quality as a service to embracing it as a strategic differentiator in the AI-first era.