AI-Powered Quality Engineering: How Generative Models Are Rewriting Test Strategies

By Vineet Kansal, VP & Business Unit Head – Quality Engineering at TO THE NEW

For years, Quality Engineering has consistently found challenges trying to keep up with the fast development of modern technology. Yet the risk of slowing down has become unsustainable. A single failed production release can cost an enterprise anywhere between USD 300,000 to USD 1.3 million per hour, depending on the industry.

Today, AI is not an “add-on” to testing. It has become the intelligence layer that connects the dots across requirements, code, environments, test data, and production signals. Generative AI is transforming testing from manual, brittle scripts into an intelligent, self-healing system that increases coverage, reduces maintenance, shortens MTTD/MTTR, and materially improves release velocity, provided enterprises invest in governance, metrics, and the right integration patterns.

Let’s explore how Quality Engineering is being rewritten, not by automation alone, but by ...