Reimagining Enterprise Quality: Leveraging AI-infused Quality Engineering Platforms for Competitive Advantage

As enterprises accelerate digital transformation and embrace next-generation technologies such as AI, generative AI, and cloud-native platforms, managing quality at scale has become increasingly complex. Traditional tool-centric quality approaches fall short in addressing fragmented processes, inconsistent governance, and the need for end-to-end assurance across rapidly evolving technology landscapes.

A platform-led approach to Quality Engineering (QE) is emerging as the foundation to overcome these challenges. By unifying automation, governance, data intelligence, and AI-enablement into a cohesive backbone, such platforms embed quality into every stage of the lifecycle, from design-time testing powered by AI-generated scripts to post-production resilience through self-healing.

In this report, we explore how enterprises can reimagine QE through platform-first lens. It outlines the critical enablers of this transformation, which are people, process, and technology, and highlights how organizations can establish a future-ready assurance capability. Enterprises that proactively adopt platform-led QE will not only reduce risk and accelerate release velocity but also build a resilient foundation to adapt to future technological disruptions.